Ivan Gligorijević
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Maarten De VosBogdan MijovićJoachim TaelmanSabine Van HuffelA. SpaepenPavle MijovićSteven VandeputDimiter Prodanov
- Topics
- EEG and Brain-Computer Interfaces (12 papers)Muscle activation and electromyography studies (5 papers)Human-Automation Interaction and Safety (5 papers)
- Partner nations
- BelgiumSerbiaNetherlands
In The Last Decade
Ivan Gligorijević
22 papers receiving 544 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 247
- Signal Processing 226
- Biomedical Engineering 140
- Cardiology and Cardiovascular Medicine 119
- Cellular and Molecular Neuroscience 78
Countries citing papers authored by Ivan Gligorijević
This map shows the geographic impact of Ivan Gligorijević'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 Gligorijević with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Gligorijević more than expected).
Fields of papers citing papers by Ivan Gligorijević
This network shows the impact of papers produced by Ivan Gligorijević. 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 Gligorijević. The network helps show where Ivan Gligorijević may publish in the future.
Co-authorship network of co-authors of Ivan Gligorijević
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Gligorijević. A scholar is included among the top collaborators of Ivan Gligorijević 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 Ivan Gligorijević. Ivan Gligorijević is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 19 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 20 | |
| 10 | 29 | |
| 11 | 50 | |
| 12 | 6 | |
| 13 | Correcting electrode displacement errors in motor unit tracking using high density surface electromyography (HDsEMG) | 1 |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 40 | |
| 18 | 289 | |
| 19 | 13 | |
| 20 | Statistical analysis of neural spike trains for evaluation of functional differences in brain activity | 3 |
About Ivan Gligorijević
Ivan Gligorijević is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 566 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (5 papers) and Human-Automation Interaction and Safety (5 papers). The work is most often cited by research in Signal Processing (226 citations), Cognitive Neuroscience (247 citations) and Computational Mathematics (6 citations). Ivan Gligorijević has collaborated with scholars based in Belgium, Serbia and Netherlands. Frequent co-authors include Maarten De Vos, Bogdan Mijović, Joachim Taelman, Sabine Van Huffel, Sabine Van Huffel, A. Spaepen, Pavle Mijović, Steven Vandeput, Dimiter Prodanov and Carmen Bartic. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Behavioural Brain Research and Muscle & Nerve.
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.