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Języki publikacji
Abstrakty
Based on the SCOPUS database, the study shows the results of a bibliometric analysis of scientific publications related to Geographic Information Systems (GIS) from 2013–2023. The study covers 8528 papers and is intended to understand research trends and the geographic diversity of publications. This paper uses the bibliometrix tool, an R language package for bibliometric analysis. The results show that the most significant number of publications come from India and China, which also have high citation rates. Keyword analysis reveals that there has been increased interest in remote sensing, land use, urban planning, urbanization, environmental monitoring, risk assessment, and diagnostics of water quality and flood-prone areas in recent years. The survey provides valuable information on the direction of research related to Geographic Information Systems and points to the need for greater integration and cooperation in international research.
Czasopismo
Rocznik
Tom
Strony
73--90
Opis fizyczny
Bibliogr. 35 poz.
Twórcy
autor
- University of Warmia and Mazury in Olsztyn, Department of Real Estate and Urban Studies, Olsztyn, Poland
Bibliografia
- 1. Aria M., Cuccurullo C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
- 2. Aria M., Misuraca M., Spano M. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social Indicators Research, 149(3), 803–831. https://doi.org/10.1007/s11205-020-02281-3
- 3. Awange J.L., Kyalo Kiema J. B. (2013). Fundamentals of GIS. In: J.L. Awange, J.B. Kyalo Kiema (ed.), Environmental Geoinformatics, pp. 191–200. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-34085-7_13
- 4. Baker H.K., Kumar S., Pandey N. (2020). A bibliometric analysis of managerial finance: A retrospective. Managerial Finance, 46(11), 1495–1517. https://doi.org/10.1108/MF-06-2019-0277
- 5. Basile V., Giacalone M., Cozzucoli P.C. (2022). The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies. Review of European Studies, 14(3), 10. https://doi.org/10.5539/res.v14n3p10
- 6. Bieda A., Maniak W. (2024). The Effect of Revitalisation on the Value of Residential Premises in Historic Urban Layouts. Real Estate Management and Valuation, 32(1), 95–113. https://doi.org/10.2478/remav-2024-0011
- 7. Boers B., Cottrell S. (2007). Sustainable Tourism Infrastructure Planning: A GIS-Supported Approach. Tourism Geographies, 9(1), 1–21. https://doi.org/10.1080/14616680601092824
- 8. Çelik E., Sungur A., Türkyılmaz Ç.C. (2024). Exploring the Relationship between Healthy City and Public Space Ergonomics: A Bibliometric Analysis. Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism- ICCAUA, 7(1), 1370–1382. https://doi.org/10.38027/ICCAUA2024EN0223
- 9. Cellmer R. (2023). Points of Interest and Housing Prices. Real Estate Management and Valuation, 31(1), 69–77.
- 10. Chang K. (2019). Geographic Information System. In: D. Richardson, N. Castree, M.F. Goodchild, A. Kobayashi, W. Liu, R.A. Marston (ed.), International Encyclopedia of Geography, 1st ed., pp. 1–10). Wiley. https://doi.org/10.1002/9781118786352.wbieg0152.pub2
- 11. Chen D., Liu Z., Luo Z., Webber, M., Chen J. (2016). Bibliometric and visualized analysis of emergy research. Ecological Engineering, 90, 285–293. https://doi.org/10.1016/j.ecoleng.2016.01.026
- 12. Chen J., Hao S., Wu Y. (2022). Housing and health in vulnerable social groups: An overview and bibliometric analysis. Reviews on Environmental Health, 37(2), 267–279. https://doi.org/10.1515/reveh-2020-0167
- 13. Demiroz F., Haase T.W. (2019). The concept of resilience: A bibliometric analysis of the emergency and disaster management literature. Local Government Studies, 45(3), 308–327. https://doi.org/10.1080/03003930.2018.1541796
- 14. Dionisio M. (2019). The evolution of social entrepreneurship research: A bibliometric analysis. Social Enterprise Journal, 15(1), 22–45. https://doi.org/10.1108/SEJ-05- 2018-0042
- 15. Donthu N., Kumar S., Pattnaik D. (2020). Forty-five years of Journal of Business Research: A bibliometric analysis. Journal of Business Research, 109, 1–14. Scopus. https://doi.org/10.1016/j.jbusres.2019.10.039
- 16. Eri M., Waqiah S.J., Zani B.N. (2023). Analyzing the Global Visibility and Influence of Social Enterprise Research: A Bibliometric Review of Citation, International Collaboration, and Cross-Cultural Perspectives. West Science Interdisciplinary Studies, 1(08), 576–586. https://doi.org/10.58812/wsis.v1i08.182
- 17. Gandia R.M., Antonialli F., Cavazza B.H., Neto A.M., de Lima D.A., Sugano, J.Y., Nicolai I., Zambalde, A.L. (2019). Autonomous vehicles: Scientometric and bibliometric review. Transport Reviews, 39(1), 9–28. Scopus. https://doi.org/10.1080/01441647.2018.1518937
- 18. Gao S., Janowicz K., Couclelis H. (2017). Extracting urban functional regions from points of interest and human activities on location-based social networks. Transactions in GIS, 21(3), 446–467. https://doi.org/10.1111/tgis.12289
- 19. Gnat S. (2022). Categorical Variable Problem. In: Real Estate Submarket Determination With Gwr Model. Real Estate Management and Valuation, 30(4), 42–54. https://doi.org/10.2478/remav-2022-0028
- 20. Granados M.L., Hlupic V., Coakes E., Mohamed S. (2011). Social enterprise and social entrepreneurship research and theory: A bibliometric analysis from 1991 to 2010. Social Enterprise Journal, 7(3), 198–218. https://doi.org/10.1108/17508611111182368
- 21. Hackenberger B.K. (2020). R software: Unfriendly but probably the best. Croatian Medical Journal, 61(1), 66–68. https://doi.org/10.3325/cmj.2020.61.66
- 22. Khan D.M., Yahya N., Kamel N. (2021). Optimum Order Selection Criterion for Autoregressive Models of Bandlimited EEG Signals. 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 389–394.
- 23. Krivoruchko K. (2012). Empirical Bayesian Kriging Implemented in ArcGIS Geostatistical Analyst.
- 24. Lan X., Feng M., Chen L., Zhang L., Han C., Wang Y., Zheng J., Wang X., Liu C., Liu R. (2024). Trends in research on nanomedicine in urologic cancer: A bibliometric and visualized analysis. Discover Oncology, 15(1). Scopus. https://doi.org/10.1007/s12672-024-01249-w
- 25. Lazar N., Chithra K. (2021). Comprehensive bibliometric mapping of publication trends in the development of Building Sustainability Assessment Systems. Environment, Development and Sustainability, 23(4), 4899–4923. https://doi.org/10.1007/s10668-020-00796-w
- 26. McLeod R.G., Daily J., Kiss K. (1985). Image Processing and Geographic Information. A.G. Tescher (ed.), p. 271. https://doi.org/10.1117/12.966514
- 27. Moral-Muñoz J.A., Herrera-Viedma E., Santisteban-Espejo A., Cobo M.J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de La Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
- 28. Ogryzek M., Podawca K., Cienciała A. (2022). Geospatial tools in the analyses of land use in the perspective of the accessibility of selected educational services in Poland. Land Use Policy, 122, 106373. https://doi.org/10.1016/j.landusepol.2022.106373
- 29. Passas I. (2024). Bibliometric Analysis: The Main Steps. Encyclopedia, 4(2), 1014–1025. https://doi.org/10.3390/encyclopedia4020065
- 30. Ridwana R., Kamal M., Arjasakusuma S., Sugandi D., Sakti A.D. (2025). Bibliometric Computation Mapping Analysis of Publication Machine and Deep Learning for Food Crops Mapping using VOSviewer. Journal of Advanced Research in Applied Sciences and Engineering Technology, 50(2), 42–59. Scopus. https://doi.org/10.37934/araset.50.2.4259
- 31. Sánchez-Pérez M., Marín-Carrillo M.B., Segovia-López C., Terán-Yépez E. (2025). Bibliometric articles in business and management: Factors affecting production and scholarly impact. Journal of Business Research, 186. Scopus. https://doi.org/10.1016/j.jbusres.2024.114950
- 32. Schweikart J., La Torre F., Mannocci A. (2008). The Geographical Information System. Italian Journal of Public Health, 5(4). https://doi.org/10.2427/5811
- 33. Soetaert K., Meysman F., Petzoldt T., Simos T.E., Psihoyios G., Tsitouras Ch. (2010). Solving Differential Equations in R. 31–34. https://doi.org/10.1063/1.3498463
- 34. Tang Y. (2005). Geographic Information Systems: An Overview. https://api.semanticscholar.org/CorpusID:67903109
- 35. Yu D. (2007). Modeling owner-occupied single-family house values in the city of Milwaukee: A geographically weighted regression approach. GIScience & Remote Sensing, 44(3), 267–282. https://doi.org/10.2747/1548-1603.44.3.267
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5811b9b8-2d8c-463c-95a6-b341a00302ef
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