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Nasire Zare, Saeid, Cheraghi, Mehdi. (1402). Analysis of articles in the Journal of Rural Research and Planning (JRRP). سامانه مدیریت نشریات علمی, 12(2), 1-17. doi: 10.22067/jrrp.v12i2.2205-1046
Saeid Nasire Zare; Mehdi Cheraghi. "Analysis of articles in the Journal of Rural Research and Planning (JRRP)". سامانه مدیریت نشریات علمی, 12, 2, 1402, 1-17. doi: 10.22067/jrrp.v12i2.2205-1046
Nasire Zare, Saeid, Cheraghi, Mehdi. (1402). 'Analysis of articles in the Journal of Rural Research and Planning (JRRP)', سامانه مدیریت نشریات علمی, 12(2), pp. 1-17. doi: 10.22067/jrrp.v12i2.2205-1046
Nasire Zare, Saeid, Cheraghi, Mehdi. Analysis of articles in the Journal of Rural Research and Planning (JRRP). سامانه مدیریت نشریات علمی, 1402; 12(2): 1-17. doi: 10.22067/jrrp.v12i2.2205-1046

Analysis of articles in the Journal of Rural Research and Planning (JRRP)

Journal of Research and Rural Planning
دوره 12، شماره 2 - شماره پیاپی 41، مرداد 2023، صفحه 1-17    اصل مقاله (1.1 M)
نوع مقاله: Review Articles
شناسه دیجیتال (DOI): 10.22067/jrrp.v12i2.2205-1046
نویسندگان
Saeid Nasire Zare1؛ Mehdi Cheraghi* 2
1Kharazmi University, Iran.
2Zanjan University, Iran.
چکیده
Purpose- Scientific papers are presented for benefit in journals. The studies are carried out academically and in accordance with the needs of society. Therefore, examining them is essential to journals and academics. This paper aims to analyze the articles of the Journal of Rural Planning and Research and the connection of these articles with the challenges and obstacles of rural development.
Design/methodology/approach- Scientometrics research was the basis of the current research. Scientometrics is defined as quantitatively studying science or measuring the quality and impact of research. As a field, Scientometrics uses statistical methods and techniques to quantify research and achievements to reveal the research development process and can be a tool for decision-making. The main themes include measuring research quality and impact, citation processes, mapping scientific fields, and using indicators in research policy and management. The method of collecting information was from libraries and the citation database in the "Publish or Perish" software program. The indexes of "Network Density", "Centrality Degree", "Betweenness Centrality", "Eigenvector" and "Clustering Coefficient", as well as "H-Index", were used in this study. Ravar Matrix was used to prepare the self-interaction matrix, and Ucinet and Gephi were used to analyze the indicators and make graphs. Also, the co-occurrence of the keywords of the articles was the basis for identifying the topics of the articles.
Findings- Journal of Rural Research and Planning (JRRP), has published 348 articles in 10 volumes and 35 issues. Authors such as Anabestani, Barghi and Rezvani had the highest number of connections in the collaboration network. On the other hand, researchers like Taghdisi, Anabestani, Afrakhteh and Bouzarjomehri are the most influential authors of the Journal. Moreover, the main topic of the papers is Economic Development in rural areas. According to the changes and evolution of the leading research topics, the issue of sustainable development has been one of the main research approaches in the last few years. After that, studies have been conducted more on sustainable livelihood development, connected with other topics.
Originality / value- Neglecting social and cultural challenges seems to be the common shortcomings of rural research besides rural development programs in Iran. This issue indicates the need for more integration in research and calls for attention in development programs.
کلیدواژه‌ها
Geography؛ Scient metrics؛ Network analysis؛ Journal of Research and Rural Planning
مراجع
  1. Abbasi, A., Hossain, L., & Leydesdorff, L. (2012). Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Informetrics, 6(3), 403–412. [in Persian]. https://doi.org/10.1016/j.joi.2012.01.002.
  2. Aminpour, F. (2008). An introduction to scientometrics, Isfahan University of Medical Sciences and Health Services. [in Persian]. https://www.adinehbook.com/gp/product/9645241498.
  3. Aristovnik, A., Ravšelj, D., & Umek, L. (2020). A bibliometric analysis of COVID-19 across science and social science research landscape. Sustainability, 12(21), 9132. https://www.mdpi.com/878746.
  4. Baffoe, G. (2020). Rural-urban studies: A macro analyses of the scholarship terrain. Habitat International, 98, 102156. https://doi.org/10.1016/j.habitatint.2020.102156.
  5. Bagalkoti, V. T., & Hosamani, S. C. (2014). Mapping of the Indian Research Productivity of Biochemistry and Molecular Biology: A Scientometric Analysis. Journal of Advances in Library and Information Science, 3(3), 249–256. https://www.researchgate.net.
  6. Bozarjomehri, K., Eivazlo, M., Jamshidi, A., (2015). A thematic study of articles on rural geography in scientific research journals of Iran (a review of articles published between 1948 and 2008). Journal of Geography and Regional Development Research, 12(1), 31. [In Persian]. doi: 10.22067/geography.v12i22.42877.
  7. Bródka, P., Skibicki, K., Kazienko, P., & Musiał, K. (2011). A degree centrality in the multi-layered social network. 2011 International Conference on Computational Aspects of Social Networks (CASoN), 237–242. DOI: 10.1109/CASON.2011.6085951.
  8. Ceballos, H. G., Fangmeyer, J., Galeano, N., Juarez, E., & Cantu-Ortiz, F. J. (2017). Impelling research productivity and impact through collaboration: A scientometric case study of knowledge management. Knowledge Management Research & Practice, 15(3), 346-355. https://doi.org/10.1057/s41275-017-0064-8.
  9. Chiu, W.-T., & Ho, Y.-S. (2007). Bibliometric analysis of tsunami research. Scientometrics, 73(1), 3–17. https://doi.org/10.1007/s11192-005-1523-1.
  10. Chiu, W.-T., Huang, J.-S., & Ho, Y.-S. (2004). Bibliometric analysis of severe acute respiratory syndrome-related research in the beginning stage. Scientometrics, 61(1), 69-77. https://doi.org/10.1023/B:SCIE.0000037363.49623.28.
  11. Colavizza, G., Costas, R., Traag, V. A., van Eck, N. J., van Leeuwen, T., & Waltman, L. (2021). A scientometric overview of CORD-19. Plos One, 16(1), e0244839.  https://doi.org/10.1371/journal.pone.0244839.
  12. Contractor, N. S., Wasserman, S., & Faust, K. (2006). Testing multitheoretical, multilevel hypotheses about organizational networks: An analytic framework and empirical example. Academy of management review, 31(3), 681-703. https://doi.org/10.5465/amr.2006.21318925.
  13. De Bellis, N. (2009). Bibliometrics and citation analysis: from the science citation index to cyber metrics. scarecrow press. https://iris.unimore.it.
  14. Djalalinia, S. H., Owlia, P., Forouzan, A. S., Habibi, E., Dejman, M., Eftekhari, M. B., Ghanei, M., Malekafzali, H., & Peykari, N. (2012). Health research evaluation and its role in knowledge production. Iranian Journal of Public Health, 41(2), 39. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481679/.
  15. Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809-1831. https://doi.org/10.1007/s11192-015-1645-z.
  16. Emmer, A. (2018). Geographies and scientometrics of research on natural hazards. Geosciences, 8(10), 382. https://www.mdpi.com/2076-3263/8/10/382.
  17. Erfanmanesh, M., & Hosseini, E. (2014). 10 years of the International Journal of Information Science and Management: A scient metric and social network analysis study. International Journal of Information Science and Management (IJISM), 13(1). http://ijism.ricest.ac.ir/index.php/ijism/article/view/259
  18.  Fatt, C., Ujum, E., & Ratnavelu, K. (2010). The structure of collaboration in the Journal of Finance. Scientometrics, 85(3), 849-860. https://doi.org/10.1007/s11192-010-0254-0.
  19. Feli, S., Sediqi, H. Pezeshkirad, G. Mirzaei, A., (2010). Challenges of Iranian rural communities to achieve sustainable development, Village and Development, 13(4), 128- 97. [in Persian]. http://rvt.agri-peri.ac.ir/article_59182.html.
  20. Fu, L., Sun, Z., He, L., Liu, F., & Jing, X. (2019). Global long-term care research: A scientometric review. International Journal of Environmental Research and Public Health, 16(12), 2077. https://doi.org/10.3390/ijerph16122077.
  21. Gall, M., Nguyen, K. H., & Cutter, S. L. (2015). Integrated research on disaster risk: Is it really integrated? International Journal of Disaster Risk Reduction, 12, 255–267. https://doi.org/10.1016/j.ijdrr.2015.01.010.
  22. Guan, J., & Pang, L. (2018). Bidirectional relationship between network position and knowledge creation in Scientometrics. Scientometrics, 115(1), 201-222. https://doi.org/10.1007/s11192-018-2673-2.
  23. Haghani, M., & Bliemer, M. C. J. (2020). Covid-19 pandemic and the unprecedented mobilization of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature. Scientometrics, 125(3), 2695-2726. https://doi.org/10.1007/s11192-020-03706-z.
  24. Hajipour, M., Karimipour, J., (2020). Analysis of obstacles to the sustainability of rural production in Central District of Boshrouyeh County. Journal of Village and Space Sustainable Development, 1(4), 87-105. [In Persian]. doi: 22077/vssd.2021.4267.1028.
  25. Han, Y., & Park, Y. (2006). Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries. World Patent Information, 28(3), 235–247. https://doi.org/10.1016/j.wpi.2006.01.015.
  26. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102.
  27. Hosseini, S. M. Monshizadeh, R. Razavian, M. T. Morid Sadat, P. (2019). Investigating the obstacles to the sustainable economic development of rural settlements - an entrepreneurial approach (case study: Kiyar County - Chaharmahal and Bakhtiari Province). Journal of Human Geography, 1(45), 41-62. [in Persian]. doi: 1001.1.66972251.1398.12.1.3.1
  28. Karim, M. Sardar Shahraki, A. Hosseini, S. M. (2018). Obstacles to rural development from the viewpoint of farmers of Hirmand County, Journal of Space Economy & Rural Development, 7(1), 166-149. [in Persian]. https://serd.khu.ac.ir/article-1-3037-fa.html.
  29. Liu, W., Hu, G., & Tang, L. (2018). Missing author address information in Web of Science—An explorative study. Journal of Informetrics, 12(3), 985–997. https://doi.org/10.1016/j.joi.2018.07.008.
  30. Liu, X., Zhan, F. B., Hong, S., Niu, B., & Liu, Y. (2012). A bibliometric study of earthquake research: 1900–2010. Scientometrics, 92(3), 747–765. https://doi.org/10.1007/s11192-011-0599-z.
  31. Liu, Z. (2005). Visualizing the intellectual structure in urban studies: A journal co-citation analysis (1992-2002). Scientometrics, 62(3), 385-402. https://doi.org/10.1007/s11192-005-0029-1.
  32. Mao, G., Huang, N., Chen, L., & Wang, H. (2018). Research on biomass energy and environment from the past to the future: A bibliometric analysis. Science of The Total Environment, 635, 1081–1090. https://doi.org/10.1016/j.scitotenv.2018.04.173.
  33. Merigó, J. M., & Yang, J.-B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37–48. https://doi.org/10.1016/j.omega.2016.12.004.
  34. Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19. https://doi.org/10.1016/j.ejor.2015.04.002.
  35. Mirzaei, E., Ghaebi, A., Kamran, M. (2013). Criterion of evaluating scientific publications nationally and internationally: viewpoints of editors and administrators of Farsi scientific publications published in the Field of Humanities. Librarianship and Information Organization Studies, 24(2), 138-158. [In Persian]. https://ecc.isc.ac/showJournal/721/53931/709794.
  36. Morichika, N., & Shibayama, S. (2016). Use of dissertation data in science policy research. Scientometrics, 108(1), 221-241. https://doi.org/10.1007/s11192-016-1962-x.
  37. Mousavi Mohadi, A. (2003). Production of benchmark science for the development of countries. Rahyaft, 31, 3. [In Persian]. https://www.magiran.com/paper/153289.
  38. Nasire Zare, S., Riahi, V. (2022). Analysis of the alignment of rural planning studies with the challenges of rural areas in Iran. Journal of Rural Research, 13(2), 246-261. [In Persian]. 22059/jrur.2022.334728.1700.
  39. Newman, M. E. (2001). Scientific collaboration networks. I. Network construction and fundamental results. Physical review E, 64(1), 016131. https://doi.org/10.1103/PhysRevE.64.016131.
  40. Nikzad, M., Jamali, H. R., & Hariri, N. (2011). Patterns of Iranian co-authorship networks in social sciences: A comparative study. Library & Information Science Research, 33(4), 313–319. https://doi.org/10.1016/j.lisr.2011.01.005.
  41. Noee, M. (2011). Analyzing articles of Journal of Geographical Engineering of Territory of Islamic Azad University, Rasht Branch (2006-2010). Journal of Studies of Human Settlements Planning, 6(14), 158-171. [in Persian]. http://jshsp.iaurasht.ac.ir/article_519590.html.
  42. Noroozi Chakoli, A. (2021). Introduction To Scientometrics. The Organization for Researching and Composing University textbooks (SAMT). [in Persian]. https://samt.ac.ir/fa/book/99.
  43. Olawumi, T. O., & Chan, D. W. M. (2018). A scientometric review of global research on sustainability and sustainable development. Journal of Cleaner Production, 183, 231–250.  https://doi.org/10.1016/j.jclepro.2018.02.162.
  44. Qiu, J., Zhao, R., Yang, S., & Dong, K. (2017). Informetrics: theory, methods and applications. Springer. Doi 10.1007/978-981-10-4032-0.
  45. Sadat Bashir, B., & Khorasani, MA. (2016). Content analysis of articles in Journal of Rural Research between 2010 and 2015. Journal of Rural Research, 8(1), 138- 151. [in Persian]. https://dorl.net/dor/20.1001.1.20087373.1396.8.1.9.7.
  46. Sahil, & Sood, S. K. (2021). Scientometric analysis of natural disaster management research. Natural Hazards Review, 22(2), 4021008. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000447.
  47. Salemi, N., Fadai, G., & Osareh, F. (2012). Applying social network analysis criteria in bibliometric evaluations. Journal of knowledge Studies (Library and Information Sciences and Information Technology), 7(25), 88- 81. [in Persian]. http://qje.iau-tnb.ac.ir/article_516997.html.
  48. Sengupta, I. N. (1992). Bibliometrics, informetrics, scientometrics and librametrics: an overview. Libri, 42(2), 75. https://doi.org/10.1515/libr.1992.42.2.75.
  49. Sentinel, V. (2010). Social network analysis  (SNA). Retrieved  22. 2012. http://www.fmsasg.com.
  50. Soheili, F., & Osareh, F. (2012). Investigating the density and size of the social network in the co-authorship network in science journals. Iranian Journal of Information Processing & Management, 29(2), 372-351. [in Persian]. http://jipm.irandoc.ac.ir/article-1-2203-fa.html.
  51. Soheili, F., & Osareh, F. (2013). Concepts of centrality and density in scientific and social networks. Librarianship and Information Organization Studies, 24(3), 92- 108. [In Persian]. http://ensani.ir/fa/article/328258
  52. Sun, Y., Li, C., Zhao, Y., & Sun, J. (2021). Trends and developments in oral health literacy: a scientometric research study (1991–2020). BDJ Open, 7(1), 1–10. https://doi.org/10.1038/s41405-021-00066-5.
  53. Sweileh, W. M. (2019). A bibliometric analysis of health-related literature on natural disasters from 1900 to 2017. Health Research Policy and Systems, 17(1), 1–11. https://doi.org/10.1186/s12961-019-0418-1.
  54. Tabatabaii Amiri, F. Karimi, R., & Qasempoor, F. (2020). Study of scientometrics in gender, women and family by applying the planning map of words co-occurrence. Studies of Gender and Family, 7(2), 31-60. [In Persian]. http://www.jgfs.ir/article_114077.html.
  55. Vasfi, M., & Feizollahi, Y. (2020). Network drawing and analysis co-authored by Farsi articles about "Soft Power". Journal of Cultural Guardianship of the Islamic Revolution, 9(19), 1-21. [in Persian]. JR_PAFA-9-19_001.
  56. Wang, B., Pan, S.-Y., Ke, R.-Y., Wang, K., & Wei, Y.-M. (2014). An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database. Natural Hazards, 74(3), 1649–1666. https://doi.org/10.1007/s11069-014-1260-y.
  57. Wang, H., Fu, Z., Lu, W., Zhao, Y., & Hao, R. (2019). Research on sulfur oxides and nitric oxides released from coal-fired flue gas and vehicle exhaust: a bibliometric analysis. Environmental Science and Pollution Research, 26(17), 17821–17833. https://doi.org/10.1007/s11356-019-05066-5.
  58. Xie, H., Zhang, Y., Zeng, X., & He, Y. (2020). Sustainable land use and management research: A scientometric review. Landscape Ecology, 35(11), 2381–2411. https://doi.org/10.1007/s10980-020-01002-y.
  59. Yang, S., Yuan, Q., & Dong, J. (2020). Are Scientometrics, Informetrics, and Bibliometrics Different? Data Science and Informetrics, 1(01), 50. http://creativecommons.org/licenses/by/4.0/.
  60. Zhang, W., Qian, W., & Ho, Y.S. (2009). A bibliometric analysis of research related to ocean circulation. Scientometrics, 80(2), 305-316. https://doi.org/10.1007/s11192-007-1863-0.
  61. Zhao, L., Tang, Z., & Zou, X. (2019). Mapping the knowledge domain of smart-city research: A bibliometric and scientometric analysis. Sustainability, 11(23), 6648. https://doi.org/10.3390/su11236648.
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