Matjaž Zaveršnik

1.2k total citations
4 papers, 289 citations indexed

About

Matjaž Zaveršnik is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Matjaž Zaveršnik has authored 4 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Statistical and Nonlinear Physics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Matjaž Zaveršnik's work include Complex Network Analysis Techniques (3 papers), Interconnection Networks and Systems (3 papers) and VLSI and FPGA Design Techniques (2 papers). Matjaž Zaveršnik is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Interconnection Networks and Systems (3 papers) and VLSI and FPGA Design Techniques (2 papers). Matjaž Zaveršnik collaborates with scholars based in Slovenia. Matjaž Zaveršnik's co-authors include Vladimir Batagelj and has published in prestigious journals such as Discrete Mathematics, Advances in Data Analysis and Classification and arXiv (Cornell University).

In The Last Decade

Matjaž Zaveršnik

3 papers receiving 273 citations

Peers

Matjaž Zaveršnik
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 165
  • Artificial Intelligence 98
  • Computer Networks and Communications 76
  • Information Systems 67
  • Computer Vision and Pattern Recognition 57
Replace Liutong Xu with:
Liutong Xu China
Matthew J. Rattigan United States
Christos Giatsidis France
Mansurul Bhuiyan United States
Anahí Gajardo Chile
Marc Maier United States
Christine Largeron France
Arlei Silva United States
Kouzou Ohara Japan
David Domínguez-Sal Spain
Liutong Xu China View profile →
Citations per field, relative to Matjaž Zaveršnik
Matjaž Zaveršnik · 1×
Citations per year, relative to Matjaž Zaveršnik
Matjaž Zaveršnik · 1×

Countries citing papers authored by Matjaž Zaveršnik

Since Specialization
Citations

This map shows the geographic impact of Matjaž Zaveršnik'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 Matjaž Zaveršnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matjaž Zaveršnik more than expected).

Fields of papers citing papers by Matjaž Zaveršnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matjaž Zaveršnik. 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 Matjaž Zaveršnik. The network helps show where Matjaž Zaveršnik may publish in the future.

Co-authorship network of co-authors of Matjaž Zaveršnik

This figure shows the co-authorship network connecting the top 25 collaborators of Matjaž Zaveršnik. A scholar is included among the top collaborators of Matjaž Zaveršnik 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 Matjaž Zaveršnik. Matjaž Zaveršnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1 162
2 33
3
Short Cycles Connectivity
1
4
Generalized Cores
93

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.

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