Robert Repnik

633 citations
57 papers · 504 · h-index 10

Impact in

Papers in

Robert Repnik

51 papers receiving 492 citations

Peers

Robert Repnik
Comparison fields: 5 of 85
  • Statistical and Nonlinear Physics 199
  • Modeling and Simulation 41
  • Computer Networks and Communications 152
  • Cognitive Neuroscience 72
  • Electronic, Optical and Magnetic Materials 54
Replace Mitja Slavinec with:
Mitja Slavinec Slovenia
Daniel J. Velleman United States
Jianjun Wang China
Rui Hu China
Thomas W. Carr United States
Benedetto Di Paola Italy
Colin Adams United States
Seon Hee Park South Korea
Ni Zhang China
Peter Hilton United States
Robert Repnik relative to Mitja Slavinec Slovenia Mitja Slavinec's profile →
Citations per field
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Mitja Slavinec · 1×
Citations per year

Countries citing papers authored by Robert Repnik

Since Specialization
Citations

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

Fields of papers citing papers by Robert Repnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Repnik, 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 Robert Repnik Line = papers co-authored together Robert Repnik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019114
2 201988
3 201927
4 200327
5 201926
6 201925
7 201822
8 201316
9 201814
10 20219
11 20209
12 20198
13 20157
14 20227
15 20207
16
Advanced types of electronic testing of student's performance
20126
17 20196
18 20216
19 20006
20 20185

About Robert Repnik

Robert Repnik is a scholar working on Statistical and Nonlinear Physics, Education, Electronic, Optical and Magnetic Materials, Information Systems and Computer Networks and Communications, having authored 57 papers that have together received 504 indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (14 papers), Science Education and Pedagogy (10 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Experimental and Theoretical Physics Studies (7 papers), Experimental Learning in Engineering (6 papers), Mobile Learning in Education (6 papers), Chaos control and synchronization (5 papers) and Photonic Crystals and Applications (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (199 citations), Modeling and Simulation (41 citations), Computer Networks and Communications (152 citations), Cognitive Neuroscience (72 citations) and Electronic, Optical and Magnetic Materials (54 citations). Robert Repnik has collaborated with scholars based in Slovenia, Austria and Iran. Frequent co-authors include Matjaž Perc, Amin Yousefpour, Hadi Jahanshahi, Shaobo He, Sajad Jafari, Hamed Azarnoush, Boshra Hatef, Fatemeh Parastesh, Samo Kralj and Vladimir Grubelnik. Their work appears in journals such as Chaos Solitons & Fractals, Applied Mathematics and Computation, Physical Review Physics Education Research, Journal of Physics Condensed Matter and Optical Materials.

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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