Ta'lim innovatsiyasi va integratsiyasi
47-son_3-to’plam_Iyun -2025
277
ISSN:3030-3621
CTC:332.3
BASIC GLOBAL RESEARCH TRENDS ON CADASTRE: A
BIBLIOMETRIC ANALYSIS
Erkhinova Maftuna Lukhmon khizi
Assistant. Karshi State
Technical University
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 focuses on analyzing various aspects of
research. These include scientific outputs, research directions, source journals, author
performance
and
contributions,
the
distribution
of
research
across
countries/territories and institutions, collaboration patterns, and temporal trends in
keyword usage.
Key words:
land cadastre change, bibliometric analysis, research trends,
network analysis, global, research.
Introduction.
The key to understanding the development of modern cadastre is
realizing the importance of cadastres in the relationship between humankind and land.
With the advent of the digital age, the field of cadastral research has developed through
innovations in land management and ownership based on land parcels (2D) and floor
plans (3D) (1-5). Owing to information and communication technology (LCT)
advancements, cadastral research has advanced through collaboration with other fields
(Zhichkin et al., 2020a, pp. 6-7).Research shows that the development of cadastral
research is strongly correlated with the adaptation of advancements in the information
and communication industry in developing countries.(8).In particular, the scope of
cadastral research has been enlarged from laws and systems to include geographical-
spatial information using new technologies and services. With the help of technological
developments, this has changed the previously government-friendly role (Klimova et
al., 2021a).
2.Methodology.
In this paper, bibliometric and literature analyses were adopted
to explore land cadastre analysis at agriculture. More than four hundred Scopus
indexed documents were retrieved and analyzed using the Scopus database online tool.
Many studies that used this database alone were found in the literature (Malanski et al.,
Ta'lim innovatsiyasi va integratsiyasi
47-son_3-to’plam_Iyun -2025
278
ISSN:3030-3621
2021; Neelam & Sood, 2020; Sun & Yuan, 2020; Karmaoui, 2022a and 2022b; and
Karmaoui et al., 2021a). (Zhichkin et al., 2020b) This method allowed the exploration
of the most pertinent and updated studies in land cadastre. It also facilitated the
identification of influential authors, countries, affiliations, and funding agencies. Six
key terms were used and are formulated as processed by the Scopus tool: “((Land AND
land cadastre) AND (in register AND land accaunting AND analysis)) AND (for AND
agriculture)”.(Zhichkin et al., 2022) This research produced 400 document results (Fig.
1). To explore the most relevant publications, only the first 2000 papers of the period
2013–2022 were retrieved (2013 is the year with available publications in the field
using the abovementioned keywords). The extracted data is exported in CSV excel (It
can be also exported using text. file) including information, such as citation, abstract,
keywords, authors and their countries, affiliations, year of publication, funding details,
type of publication, and citation. This exported data was processed using specialized
software, the VOSViewer, to calculate the occurrence, the links, and trends of key
terms.(Zhichkin et al., 2020b)
Bibliometric analysis
In this step, the main types of analysis available in the software were carried-
out, co-occurrence, co-authorship, and citations. For each sort, the three existing
categories of visualization were processed: network visualization, density, and trends.
Classification of the key terms following their meanings. (Klimova et al., 2021b) A
classification of the key terms based on their meanings aims to highlight more details
and identify additional aspects not provided by VOSviewer. While that software allows
for the statistical linking of key terms in unnamed clusters, the proposed classification
organizes these words according to their inherent meanings. For example, all the key
terms that comprise “cadastre” will be gathered and classified based on their
occurrence and link. (Bičík et al., 2015) This allows to include the key terms: land
cadastre,water cadastre, forest cadastre, environmental cadastre, cadastre handling,
cadstre data acquisition, data fusion, database, metadata, open data, data visualization,
and cadastre data integration in one single category. (Kijowska-Strugała et al., 2018)
This categorization method was used, cadastre vocabulary, cadastre register
approaches, used tools, agricultural components, management aspect, space
vocabulary, resources, geographic information aspect, methods, and Mathematics and
computer science. Further analysis was performed to highlight and discuss examples
of studies using Cadastre particularly for agricultural suitability, agricultural
productivity, and for cropping pattern analysis (Cho, 2022).
Scopus database
Selected years
Research base
From 2012 to 2024 (1998 papers)
Earth and Planetary, Environmental and Agricultural Science
English
Language
Subject area
Ta'lim innovatsiyasi va integratsiyasi
47-son_3-to’plam_Iyun -2025
279
ISSN:3030-3621
Figure 1. Methodology flowchart for the research
In this flowchart, the issues researched in this article are presented in an orderly
and systematic way according to the following 6 directions. These are research base,
selected years, language, subject area, key words, statistical analysis.
Results and Discussion.
Temporal Evolution of Annual Publications After the
first publication in SCI-E database in 2012, the annual output of research on cadastre
in Russian increased exponentially (Figure 2) with an average annual growth rate of
9.45%. Specifically, we divided the annual output into three rising periods: 1) ready-
to-grow period: steady with slight rising from 2012 to 2024 with 58 publications
totally; 2) steady growth period: publications were risen to 563 during 2001–2010, with
an average annual growth rate of 87%; 3) explosive growth period: there were 1,957
publications from 2012 to 2020, with nearly 200 papers published per year. (Khadanga
and Jain, 2020) The remarkable growth occurred after 2012, during which time 71.8%
of the total outputs were published.
0
1
2
3
4
5
6
7
8
9
Ta'lim innovatsiyasi va integratsiyasi
47-son_3-to’plam_Iyun -2025
280
ISSN:3030-3621
Figure 2. In this figure 2, the scientists who have conducted the most research in the
filed of cadastre in the world are cited in the range of increase and decrease. These
are the following scholars: Podhrazska J, Janus J, Slamova M, Zahichkina L, Bozek
P, Kour-Bera K, Nosov V, szturc J, Kavasek P.
Figure 4. In this figure 4 show about cadastre researching types, for example: article,
Conference paper, book chapter, review, conference rewiew, book, erratum, note.
Among them, the article holds the highest index.
This trend suggests that researchers began focusing more on scientific research
about deserts during this period, resulting in simultaneous growth in both outputs and
citations, given the relatively small number of publications at the time (Mekush et al.,
2021). However, the notable decrease in citations after 2004 coincided with a rapid
increase in the annual production of publications.
0
50
100
150
200
250
300
350
0
1
2
3
4
5
6
7
8
9
Ta'lim innovatsiyasi va integratsiyasi
47-son_3-to’plam_Iyun -2025
281
ISSN:3030-3621
The output numbers are listed in parentheses. Frontiers in Earth Science |
www.frontiersin.org 4 November 2021 | Volume 9 | Article 777626 Shi et al.
Bibliometrics of Russian’s cadastre their influence as they are replaced by more recent
publications (Cimprič et al., 2013). Therefore, what should be noted is that our analysis
showed only the current citations of newly published papers and could not show their
peak number of citations. Altogether, because of the continuing growth of outputs in
cadastre research in Russian, it is not surprising that the average number of citations
per output decreased gradually.
Conclusion.
Using a bibliometric method, our study was the first to analyze the
publications of research on deserts in Russian over the past 12 years. It provided a
qualitative and quantitative overview of past work in this field and highlighted future
prospects (Ilyushina et al., 2018). The results identified three agricultural land cadastres
as the most studied, with a focus on land. The number of publications produced
annually increased exponentially, especially after 2012. This growth coincided with
the general trend in science worldwide, including in Russia. In addition, we predict that
the number of annual publications will continue to increase in the next several years.
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
Ta'lim innovatsiyasi va integratsiyasi
47-son_3-to’plam_Iyun -2025
282
ISSN:3030-3621
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.29369.
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,
