Mikhail Galkin
- Artificial Intelligence
- Epidemiology
- Neurology
- Information Systems
- Management Science and Operations Research
- Co-authors
- Sören AuerMaría-Esther VidalSimon ScerriAndrey GolanovChristoph LangeDmitry MouromtsevД. С. ПавловFlorian Matthes
- Topics
- Meningioma and schwannoma management (28 papers)Glioma Diagnosis and Treatment (10 papers)Neurofibromatosis and Schwannoma Cases (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaProgress in brain researchIEEE Journal of Biomedical and Health Informatics
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
Mikhail Galkin
32 papers receiving 165 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 87
- Epidemiology 32
- Neurology 28
- Information Systems 26
- Management Science and Operations Research 24
Countries citing papers authored by Mikhail Galkin
This map shows the geographic impact of Mikhail Galkin'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 Mikhail Galkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Galkin more than expected).
Fields of papers citing papers by Mikhail Galkin
This network shows the impact of papers produced by Mikhail Galkin. 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 Mikhail Galkin. The network helps show where Mikhail Galkin may publish in the future.
Co-authorship network of co-authors of Mikhail Galkin
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Galkin. A scholar is included among the top collaborators of Mikhail Galkin 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 Mikhail Galkin. Mikhail Galkin 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. | 0 |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies. | 15 |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 7 |
About Mikhail Galkin
Mikhail Galkin is a scholar working on Neurology, Genetics and Epidemiology, having authored 48 papers that have together received 177 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (28 papers), Glioma Diagnosis and Treatment (10 papers) and Neurofibromatosis and Schwannoma Cases (10 papers). The work is most often cited by research in Artificial Intelligence (87 citations), Health Informatics (3 citations) and Management Science and Operations Research (24 citations). Mikhail Galkin has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Sören Auer, María-Esther Vidal, Simon Scerri, Andrey Golanov, Christoph Lange, Dmitry Mouromtsev, Д. С. Павлов, Florian Matthes, Elena Simperl and Maribel Acosta. Their work appears in journals such as SHILAP Revista de lepidopterología, Progress in brain research and IEEE Journal of Biomedical and Health Informatics.
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.