BASIC GLOBAL RESEARCH TRENDS ON CADASTRE: A BIBLIOMETRIC ANALYSIS (2002-2012)
Keywords:
Key words: Land cadastre change, bibliometric analysis, research trends, network analysis, global, research.Abstract
Abstract
In this article, particularly the global research status of cadastre was evaluated
by using bibliometric analysis. This article is based on the analysis of research topics,
scientific production, collaboration among countries and authors. Furthermore, most
cited papers on cadastre research which obtained from database of Scopus during the
time period from 2012 to 2023. Land use changes, as a practical and advanced space
exploration technology, offered a lot of valuable data about the earth surface for global
analysis. This study is concentrated on the analysis of scientific outputs, research
directions, source journals, author performance and their contribution, the distribution
of research countries/territories as well as institutions and their collaboration and
temporal trends in keywords usage.
References
References
1. Bičík, I., Kupková, L., Jeleček, L., Kabrda, J., Štych, P., Janoušek, Z., Winklerová,
J., 2015. Land use changes in selected model areas, in: Springer Geogr. Springer,
pp. 171–193. https://doi.org/10.1007/978-3-319-17671-0_7
2. Cho, S.G., 2022. Agriculture, in: Stud. Econimic His. Springer, pp. 287–372.
https://doi.org/10.1007/978-981-15-3874-2_7
3. Cimprič, T., Lamovšek, A.Z., Lisec, A., 2013. An analysis of land development tax
for the conversion of agricultural land to urban use in Slovenia after 1979. Geod.
Vestn. 57, 561–577. https://doi.org/10.15292/geodetski-vestnik.2013.03.561-577
4. Demir, O., Inan, H.I., Biyik, C., Uzun, B., 2015. Land management for erosion
prevention: A case study for a Turkish nature reserve. Land Use Policy 47, 394–
400. https://doi.org/10.1016/j.landusepol.2015.01.036
5. Ilyushina, T.V., Noszczyk, T., Hernik, J., 2018. Cadastral system in the Russian
federation after the modern transformation. Surv. Rev. 50, 437–446.
https://doi.org/10.1080/00396265.2017.1308700
6. Khadanga, G., Jain, K., 2020. Agriculture Parcel Boundary Detection from
Remotely Sensed Images, in: Chaudhuri B.B., Chaudhuri B.B., Nakagawa M.,
Khanna P., Kumar S. (Eds.), Adv. Intell. Sys. Comput. Presented at the Advances
in Intelligent Systems and Computing, Springer Science and Business Media
Deutschland GmbH, pp. 307–312. https://doi.org/10.1007/978-981-32-9088-4_26
7. Khlystun, V.N., 2019. Development of Land Relations in the Agroindustrial
Complex. Her. Russ. Acad. Sci. 89, 325–332.
https://doi.org/10.1134/S1019331619040038
8. Kijowska-Strugała, M., Bucała-Hrabia, A., Demczuk, P., 2018. Long-term impact
of land use changes on soil erosion in an agricultural catchment (in the Western
Polish Carpathians). Land Degrad. Dev. 29, 1871–1884.
https://doi.org/10.1002/ldr.2936
9. Tello, E., Badia-Miró, M., 2018. Land-use and rural inequality profiles in the
province of Barcelona in mid-nineteenth century. Hist. Agrar. 157–188.
https://doi.org/10.26882/histagrar.076e05b
10. Yomralioglu, T., Cete, M., 2017. Cadastre or land administration: A case study of
Turkey, in: Cadastre: Geo-Information Innovations in Land Administration.
Springer International Publishing, pp. 23–31. https://doi.org/10.1007/978-3-319-
51216-7_3
11. Zhichkin, K., Nosov, V., Lakomiak, A., Zhichkina, L., 2020a. Cadastral valuation
of lands dedicated to perennial plantings: Features and practice, in: Apakashev R.,
Simisinov D., Glebov A. (Eds.), E3S Web Conf. Presented at the E3S Web of
Conferences, EDP Sciences. https://doi.org/10.1051/e3sconf/202017704002
12. Zhichkin, K., Nosov, V., Zhichkina, L., Moiseeva, O., Denisova, I., Shapovalov,
N., 2022. Land Plots Clustering and Its Impact on the Agricultural Land Cadastral
Valuation, in: Beskopylny A., Shamtsyan M. (Eds.), Lect. Notes Networks Syst.
Presented at the Lecture Notes in Networks and Systems,