Dimiter Prodanov
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
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- Fractional Differential Equations Solutions 18
- COVID-19 epidemiological studies 4
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- Neuroscience and Neural Engineering 13
- Co-authors
- Jean Delbeke (6 shared papers)Dries Braeken (5 shared papers)Enrico Marani (5 shared papers)Hans K. P. Feirabend (2 shared papers)Carmen Bartic (6 shared papers)Olena Viktorivna Bogdanova (1 shared paper)Jean Schoenen (1 shared paper)Volodymyr Borysovych Bogdanov (1 shared paper)
- Journals
- Frontiers in Neuroinformatics (5 papers)Chaos Solitons & Fractals (3 papers)Frontiers in Neuroscience (2 papers)Fractional Calculus and Applied Analysis (2 papers)IEEE Transactions on Biomedical Circuits and Systems (1 paper)
- Partner nations
- BelgiumBulgariaNetherlands
In The Last Decade
Dimiter Prodanov
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 409
- Modeling and Simulation 89
- Biophysics 91
- Cognitive Neuroscience 151
- Biomedical Engineering 304
Countries citing papers authored by Dimiter Prodanov
This map shows the geographic impact of Dimiter Prodanov'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 Dimiter Prodanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimiter Prodanov more than expected).
Fields of papers citing papers by Dimiter Prodanov
This network shows the impact of papers produced by Dimiter Prodanov. 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 Dimiter Prodanov. The network helps show where Dimiter Prodanov may publish in the future.
Co-authors
The 25 scholars most cited alongside Dimiter Prodanov, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 122 | |
| 2 | 2010 | 99 | |
| 3 | 2013 | 80 | |
| 4 | 2017 | 73 | |
| 5 | 2014 | 68 | |
| 6 | 2012 | 57 | |
| 7 | 2007 | 38 | |
| 8 | 2005 | 37 | |
| 9 | 2006 | 37 | |
| 10 | 2019 | 33 | |
| 11 | 2018 | 29 | |
| 12 | 2017 | 25 | |
| 13 | 1999 | 24 | |
| 14 | 2012 | 21 | |
| 15 | 2003 | 21 | |
| 16 | 2005 | 21 | |
| 17 | 2000 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2017 | 17 |
About Dimiter Prodanov
Dimiter Prodanov is a scholar working on Modeling and Simulation, Cellular and Molecular Neuroscience, Biophysics, Applied Mathematics and Numerical Analysis, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (18 papers), Neuroscience and Neural Engineering (13 papers), Cell Image Analysis Techniques (9 papers), EEG and Brain-Computer Interfaces (8 papers), Iterative Methods for Nonlinear Equations (7 papers), Statistical Mechanics and Entropy (6 papers), Algebraic and Geometric Analysis (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (409 citations), Modeling and Simulation (89 citations), Biophysics (91 citations), Cognitive Neuroscience (151 citations) and Biomedical Engineering (304 citations). Dimiter Prodanov has collaborated with scholars based in Belgium, Bulgaria and Netherlands. Frequent co-authors include Jean Delbeke, Dries Braeken, Enrico Marani, Hans K. P. Feirabend, Carmen Bartic, Olena Viktorivna Bogdanova, Jean Schoenen, Volodymyr Borysovych Bogdanov, Sylvie Multon and Nico J. D. Nagelkerke. Their work appears in journals such as Frontiers in Neuroinformatics, Chaos Solitons & Fractals, Frontiers in Neuroscience, Fractional Calculus and Applied Analysis and IEEE Transactions on Biomedical Circuits and Systems.
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.