М. Б. Штарк
- Cognitive Neuroscience top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Neurology
- Experimental and Cognitive Psychology
- Co-authors
- O. I. EpsteinА. А. СавеловVladimir O. PustylnyakOlga BazanovaEvgeniy G. VerevkinOlga G. DonskayaArcady A. PutilovOlga O. Sokolova
- Topics
- Functional Brain Connectivity Studies (29 papers)S100 Proteins and Annexins (20 papers)EEG and Brain-Computer Interfaces (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchAnnals of the New York Academy of Sciences
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
М. Б. Штарк
83 papers receiving 380 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 172
- Molecular Biology 105
- Cellular and Molecular Neuroscience 85
- Neurology 50
- Experimental and Cognitive Psychology 43
Countries citing papers authored by М. Б. Штарк
This map shows the geographic impact of М. Б. Штарк'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 М. Б. Штарк with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites М. Б. Штарк more than expected).
Fields of papers citing papers by М. Б. Штарк
This network shows the impact of papers produced by М. Б. Штарк. 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 М. Б. Штарк. The network helps show where М. Б. Штарк may publish in the future.
Co-authorship network of co-authors of М. Б. Штарк
This figure shows the co-authorship network connecting the top 25 collaborators of М. Б. Штарк. A scholar is included among the top collaborators of М. Б. Штарк 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 М. Б. Штарк. М. Б. Штарк 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | Biofeedback (conceptual and mathematical models, software and hardware environments) | 2 |
| 19 | 7 | |
| 20 | [Antigenic spectrum of different areas of the rat brain]. | 2 |
About М. Б. Штарк
М. Б. Штарк is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 92 papers that have together received 408 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (29 papers), S100 Proteins and Annexins (20 papers) and EEG and Brain-Computer Interfaces (20 papers). The work is most often cited by research in Cognitive Neuroscience (172 citations), Neurology (50 citations) and Cellular and Molecular Neuroscience (85 citations). М. Б. Штарк has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include O. I. Epstein, А. А. Савелов, Vladimir O. Pustylnyak, Olga Bazanova, Evgeniy G. Verevkin, Olga G. Donskaya, Arcady A. Putilov, Olga O. Sokolova, Estate M. Sokhadze and Alla A. Kicha. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Annals of the New York Academy of Sciences.
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.