Ivan Chorbev
Impact in
-
- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 10%
Papers in ⓘ
- Co-authors
- Dejan Gjorgjevikj (1 shared paper)Eftim Zdravevski (17 shared papers)Petre Lameski (16 shared papers)Nuno M. García (15 shared papers)Vladimir Trajkovik (11 shared papers)Nuno Pombo (4 shared papers)Rossitza Goleva (2 shared papers)Andrea Kulakov (1 shared paper)
- Journals
- IEEE Access (4 papers)Sensors (4 papers)International Journal of Environmental Research and Public Health (2 papers)Briefings in Bioinformatics (2 papers)International Journal of Telemedicine and Applications (1 paper)
- Partner nations
- North MacedoniaPortugalSpain
In The Last Decade
Ivan Chorbev
52 papers receiving 664 citations
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 205
- Human-Computer Interaction 38
- Artificial Intelligence 159
- Computer Networks and Communications 105
- Health Information Management 18
Countries citing papers authored by Ivan Chorbev
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
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.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Multi-class SVM Classifier Utilizing Binary Decision Tree | 2009 | 143 |
| 2 | 2017 | 135 | |
| 3 | 2018 | 46 | |
| 4 | 2018 | 36 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 28 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 19 | |
| 9 | 2011 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2016 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2009 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2008 | 9 |
About Ivan Chorbev
Ivan Chorbev is a scholar working on Human-Computer Interaction, Neuropsychology and Physiological Psychology, Computer Networks and Communications, General Health Professions and Occupational Therapy, having authored 55 papers that have together received 700 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (10 papers), IoT and Edge/Fog Computing (9 papers), Context-Aware Activity Recognition Systems (6 papers), ECG Monitoring and Analysis (4 papers), Multimedia Communication and Technology (3 papers), Obesity, Physical Activity, Diet (3 papers), Constraint Satisfaction and Optimization (3 papers) and Technology Use by Older Adults (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (205 citations), Human-Computer Interaction (38 citations), Artificial Intelligence (159 citations), Computer Networks and Communications (105 citations) and Health Information Management (18 citations). Ivan Chorbev has collaborated with scholars based in North Macedonia, Portugal and Spain. Frequent co-authors include Dejan Gjorgjevikj, Eftim Zdravevski, Petre Lameski, Nuno M. García, Vladimir Trajkovik, Nuno Pombo, Rossitza Goleva, Andrea Kulakov, Martin Mihajlov and Ivan Miguel Pires. 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.