George Dimitrov
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Cellular and Molecular Neuroscience top 10%
- Social Psychology
- Ophthalmology top 10%
- Co-authors
- N.A. DimitrovaL MitraniS MateeffN YakimoffE. SchulteCatherine Dißelhorst-KlugGünter RauT.I. Arabadzhiev
- Topics
- Neuroscience and Neural Engineering (10 papers)Muscle activation and electromyography studies (7 papers)Visual perception and processing mechanisms (6 papers)
In The Last Decade
George Dimitrov
22 papers receiving 439 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 269
- Biomedical Engineering 239
- Cellular and Molecular Neuroscience 163
- Social Psychology 29
- Ophthalmology 29
Countries citing papers authored by George Dimitrov
This map shows the geographic impact of George Dimitrov'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 George Dimitrov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Dimitrov more than expected).
Fields of papers citing papers by George Dimitrov
This network shows the impact of papers produced by George Dimitrov. 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 George Dimitrov. The network helps show where George Dimitrov may publish in the future.
Co-authorship network of co-authors of George Dimitrov
This figure shows the co-authorship network connecting the top 25 collaborators of George Dimitrov. A scholar is included among the top collaborators of George Dimitrov 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 George Dimitrov. George Dimitrov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 52 | |
| 4 | 5 | |
| 5 | 22 | |
| 6 | 87 | |
| 7 | 25 | |
| 8 | 2 | |
| 9 | Effect of stimulus (postsynaptic current) shape on fibre excitation. | 3 |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 39 | |
| 15 | 24 | |
| 16 | Dependence of the delay time for smooth pursuit eye movements in man on the velocity of the visual target. | 1 |
| 17 | 29 | |
| 18 | Extracellular potential field generated by activated short muscle fibres. | 9 |
| 19 | 6 | |
| 20 | Influence of the asymmetry in the distribution of the depolarization level on the extracellular potential field generated by an excitable fibre. | 11 |
About George Dimitrov
George Dimitrov is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 449 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), Muscle activation and electromyography studies (7 papers) and Visual perception and processing mechanisms (6 papers). The work is most often cited by research in Cognitive Neuroscience (269 citations), Cellular and Molecular Neuroscience (163 citations) and Biomedical Engineering (239 citations). George Dimitrov has collaborated with scholars based in Bulgaria, Germany and Czechia. Frequent co-authors include N.A. Dimitrova, L Mitrani, S Mateeff, N Yakimoff, E. Schulte, Catherine Dißelhorst-Klug, Günter Rau, T.I. Arabadzhiev and T Radil-Weiss. Their work appears in journals such as Vision Research, Electroencephalography and Clinical Neurophysiology and Biological Cybernetics.
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.