Anuška Ferligoj

2.8k citations
67 papers · 1.6k · h-index 26

Impact in

Papers in

Anuška Ferligoj

65 papers receiving 1.5k citations

Peers

Anuška Ferligoj
Comparison fields: 5 of 133
  • Statistical and Nonlinear Physics 527
  • Statistics, Probability and Uncertainty 257
  • Communication 131
  • Sociology and Political Science 446
  • Management of Technology and Innovation 61
Replace Arnout van de Rijt with:
Arnout van de Rijt Netherlands
Patrick Doreian United States
Debora Shaw United States
Isidro F. Aguillo Spain
José Luís Ortega Spain
Hildrun Kretschmer Germany
Liwen Vaughan Canada
Samuel Arbesman United States
Vicente P. Guerrero‐Bote Spain
Staša Milojević United States
Anuška Ferligoj relative to Arnout van de Rijt Netherlands Arnout van de Rijt's profile →
Citations per field
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Arnout van de Rijt · 1×
Citations per year

Countries citing papers authored by Anuška Ferligoj

Since Specialization
Citations

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

Fields of papers citing papers by Anuška Ferligoj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anuška Ferligoj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anuška Ferligoj Line = papers co-authored together Anuška Ferligoj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004137
2 199284
3 199977
4 201173
5 201572
6 201772
7 199262
8 199259
9 201758
10 198251
11 200350
12 200250
13 199849
14 200549
15 201143
16 199340
17 199440
18 202037
19 201036
20 201235

About Anuška Ferligoj

Anuška Ferligoj is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Statistics, Probability and Uncertainty, Information Systems and Communication, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), scientometrics and bibliometrics research (14 papers), Social Capital and Networks (11 papers), Opinion Dynamics and Social Influence (11 papers), Web visibility and informetrics (5 papers), Mental Health Research Topics (4 papers), Data Visualization and Analytics (3 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (527 citations), Statistics, Probability and Uncertainty (257 citations), Communication (131 citations), Sociology and Political Science (446 citations) and Management of Technology and Innovation (61 citations). Anuška Ferligoj has collaborated with scholars based in Slovenia, United States and Russia. Frequent co-authors include Vladimir Batagelj, Patrick Doreian, Luka Kronegger, Valentina Hlebec, Tina Kogovšek, Franc Mali, Irene Hanson Frieze, Anja Žnidaršič, Flaminio Squazzoni and Germà Coenders. Their work appears in journals such as Social Networks, Scientometrics, PLoS ONE, Quality & Quantity and Journal of Classification.

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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