Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Vladimir Batagelj
Since
Specialization
Citations
This map shows the geographic impact of Vladimir Batagelj's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vladimir Batagelj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Batagelj more than expected).
Fields of papers citing papers by Vladimir Batagelj
This network shows the impact of papers produced by Vladimir Batagelj. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vladimir Batagelj. The network helps show where Vladimir Batagelj may publish in the future.
Co-authorship network of co-authors of Vladimir Batagelj
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Batagelj.
A scholar is included among the top collaborators of Vladimir Batagelj based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Vladimir Batagelj. Vladimir Batagelj is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Aalst, Wil M. P. van der, Vladimir Batagelj, Dmitry I. Ignatov, et al.. (2020). Analysis of Images, Social Networks and Texts. Communications in computer and information science.3 indexed citations
Breznik, Kristijan & Vladimir Batagelj. (2012). RETIRED MATCHES AMONG MALE PROFESSIONAL TENNIS PLAYERS. SHILAP Revista de lepidopterología.10 indexed citations
Batagelj, Vladimir, et al.. (2007). Project CALIBRATE – Calibrating eLearning in Schools. Organizacija. 40(6).
6.
Kejžar, Nataša, et al.. (2006). PROBABILISTIC INDUCTIVE CLASSES OF GRAPHS.6 indexed citations
7.
Batagelj, Vladimir, et al.. (2006). Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization). Springer eBooks.7 indexed citations
8.
Bren, Matevž & Vladimir Batagelj. (2006). The Metric Index. Croatica Chemica Acta. 79(3). 399–410.2 indexed citations
9.
Doreian, Patrick, Vladimir Batagelj, Anuška Ferligoj, & Mark Granovetter. (2004). Generalized Blockmodeling (Structural Analysis in the Social Sciences). Cambridge University Press eBooks.25 indexed citations
Batagelj, Vladimir & Matjaž Zaveršnik. (2003). Short Cycles Connectivity. Discrete Mathematics.1 indexed citations
12.
Batagelj, Vladimir & Matjaž Zaveršnik. (2002). Generalized Cores. arXiv (Cornell University).93 indexed citations
13.
Mrvar, Andrej, et al.. (2002). Analiza rodoslova dubrovačkog vlasteoskog kruga pomoću programa Pajek. University of Zagreb University Computing Centre (SRCE). 105–126.2 indexed citations
14.
Mrvar, Andrej, et al.. (2002). Genealogical Analysis of the Ragusan Patriciate with the Assistance of the Pajek Computer Program. 105–126.1 indexed citations
15.
Batagelj, Vladimir. (1997). Notes on blockmodeling. Social Networks. 19(2). 143–155.32 indexed citations
16.
Ferligoj, Anuška, Patrick Doreian, & Vladimir Batagelj. (1996). Optimizational Approach to Blockmodeling. Hrčak Portal of scientific journals of Croatia (University Computing Centre). 4(4). 225–233.5 indexed citations
17.
Batagelj, Vladimir, et al.. (1992). Automatic clustering of languages. Computational Linguistics. 18(3). 339–352.10 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.