World's Best Scientists 2026 revealed!
Vladimir Batagelj

Vladimir Batagelj

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Computer Science
Slovenia
2026

D-Index & Metrics

Computer Science

D-Index
48
Citations
20010
World Ranking
6009
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in Slovenia Leader Award
  • 2025 - Research.com Computer Science in Slovenia Leader Award
  • 2022 - Research.com Computer Science in Slovenia Leader Award

Overview

Vladimir Batagelj is affiliated with the University of Ljubljana in Slovenia and has a publication record concentrated primarily in the field of Computer Science. Their work spans multiple subfields, including Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems, Signal Processing, and Statistics, Probability and Uncertainty.

The main research topics addressed by Batagelj include:

  • Complex Network Analysis Techniques
  • Scientometrics and Bibliometrics Research
  • Web Visibility and Informetrics
  • VLSI and FPGA Design Techniques
  • Semantic Web and Ontologies
  • Data Visualization and Analytics
  • Advanced Database Systems and Queries

Batagelj has authored recent publications covering social network analysis and bibliographic networks. These include:

  • "Towards a systematic description of the field using keywords analysis: main topics in social networks" (2020, Scientometrics)
  • "Journals publishing social network analysis" (2021, Scientometrics)
  • "iMetrics: the development of the discipline with many names" (2020, Scientometrics)
  • "Collaboration between authors in the field of social network analysis" (2022, Scientometrics)
  • "Temporal bibliographic networks" (2020, Journal of Informetrics)

Frequent publication venues for Batagelj comprise:

  • Scientometrics
  • arXiv (Cornell University)
  • Uporabna informatika
  • Journal of Informetrics
  • Advances in Data Analysis and Classification

Co-authorship collaborations include multiple works with researchers such as Daria Maltseva, Wil M. P. van der Aalst, Dmitry I. Ignatov, Michael Khachay, and Andrey Kutuzov.

Batagelj also contributed to several book publications through Springer Science+Business Media, including:

  • "Analysis of Images, Social Networks and Texts" (2021)
  • "Analysis of Images, Social Networks and Texts" (2020)
  • "Recent Trends in Analysis of Images, Social Networks and Texts" (2021)

Best Publications

  • Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software

    Wouter De Nooy;Andrej Mrvar;Vladimir Batagelj

  • Exploratory Social Network Analysis with Pajek

    Wouter de Nooy;Andrej Mrvar;Vladimir Batagelj

  • Pajek - Program for Large Network Analysis

    Vladimir Batagelj;Andrej Mrvar

  • Pajek - Analysis and Visualization of Large Networks

    Vladimir Batagelj;Andrej Mrvar

  • An O(m) Algorithm for Cores Decomposition of Networks

    V. Batagelj;M. Zaversnik

  • Centrality in Social Networks

    Vladimir Batagelj

  • Exploratory Social Network Analysis with Pajek: Index of Pajek and R Commands

    Wouter de Nooy;Andrej Mrvar;Vladimir Batagelj

  • Fast algorithms for determining (generalized) core groups in social networks

    Vladimir Batagelj;Matjaž Zaveršnik

  • Efficient generation of large random networks.

    Vladimir Batagelj;Ulrik Brandes

  • Efficient Algorithms for Citation Network Analysis

    Vladimir Batagelj

  • Generalized blockmodeling of two-mode network data

    Patrick Doreian;Vladimir Batagelj;Anuška Ferligoj

  • Comparing Resemblance Measures

    Vladimir Batagelj;Matevz Bren

  • Some analyses of Erdős collaboration graph

    Vladimir Batagelj;Andrej Mrvar

  • Analysis and visualization of large networks with program package Pajek

    Andrej Mrvar;Vladimir Batagelj

  • On bibliographic networks

    Vladimir Batagelj;Monika Cerinšek

  • Pajek Program for Analysis and Visualization of Large Networks

    Vladimir Batagelj;Andrej Mrvar

  • Direct and indirect methods for structural equivalence

    Vladimir Batagelj;Anuška Ferligoj;Patrick Doreian

  • An O(m) Algorithm for Cores Decomposition of Networks

    Vladimir Batagelj

  • A subquadratic triad census algorithm for large sparse networks with small maximum degree

    Vladimir Batagelj;Andrej Mrvar

  • Direct multicriteria clustering algorithms

    A. Ferligoj;V. Batagelj

  • ANALYSIS AND VISUALIZATION OF LARGE NETWORKS

    Vladimir Batagelj;Andrej Mrvar

Frequent Co-Authors

Patrick Doreian
Patrick Doreian University of Pittsburgh
Giuseppe Liotta
Giuseppe Liotta University of Perugia
Walter Didimo
Walter Didimo University of Perugia
Félix de Moya-Anegón
Félix de Moya-Anegón Spanish National Research Council
Gerd Stumme
Gerd Stumme University of Kassel
Zoran Nikoloski
Zoran Nikoloski Max Planck Institute of Molecular Plant Physiology
David Krackhardt
David Krackhardt Carnegie Mellon University
Brian Francis
Brian Francis Lancaster University
Stanley Wasserman
Stanley Wasserman Indiana University
Peter Ghazal
Peter Ghazal Cardiff University

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