Ivan Chorbev

77 papers receiving 891 citations

Peers

Ivan Chorbev
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 260
  • Human-Computer Interaction 57
  • Computer Networks and Communications 157
  • Artificial Intelligence 190
  • Physical Therapy, Sports Therapy and Rehabilitation 23
Replace Thanos G. Stavropoulos with:
Thanos G. Stavropoulos Greece
Bessam Abdulrazak Canada
Ângelo Costa Portugal
Mounir Mokhtari France
Martin Becker Germany
Hariton Costin Romania
Joseph Rafferty United Kingdom
Sten Hanke Austria
Niall Twomey United Kingdom
Javier Medina-Quero Spain
Ivan Chorbev relative to Thanos G. Stavropoulos Greece Thanos G. Stavropoulos's profile →
Citations per field
00.5×1.7×
Thanos G. Stavropoulos · 1×
Citations per year

Countries citing papers authored by Ivan Chorbev

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Chorbev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Multi-class SVM Classifier Utilizing Binary Decision Tree
2009159
2 2017141
3 201851
4 201940
5 202040
6 202239
7 201838
8 202032
9 201123
10 202023
11 202018
12 202118
13 202115
14 200914
15 201714
16 201714
17 201613
18 202113
19 201612
20 202011

About Ivan Chorbev

Ivan Chorbev is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Human-Computer Interaction and Artificial Intelligence, having authored 77 papers that have together received 935 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Context-Aware Activity Recognition Systems (13 papers), Mobile Health and mHealth Applications (10 papers), Data Mining Algorithms and Applications (4 papers), ECG Monitoring and Analysis (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Wireless Body Area Networks (4 papers) and Constraint Satisfaction and Optimization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Human-Computer Interaction (57 citations), Computer Networks and Communications (157 citations), Artificial Intelligence (190 citations) and Physical Therapy, Sports Therapy and Rehabilitation (23 citations). Ivan Chorbev has collaborated with scholars based in North Macedonia, Portugal and Bulgaria. Frequent co-authors include Dejan Gjorgjevikj, Petre Lameski, Eftim Zdravevski, Nuno M. García, Vladimir Trajkovik, Nuno Gonçalo Coelho Costa Pombo, Rossitza Goleva, Andrea Kulakov, Martin Mihajlov and Ivica Dimitrovski. Their work appears in journals such as IEEE Access, Sensors, International Journal of Environmental Research and Public Health, Briefings in Bioinformatics and International Journal of Telemedicine and Applications.

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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