Maya Mincheva
- Molecular Biology
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Computational Theory and Mathematics top 10%
- Genetics
- Co-authors
- Marc R. RousselCarsten ConradiGheorghe CrăciunElisenda FeliuDavid SiegelCarsten WiufSantiago SchnellBrian Ingalls
- Topics
- Gene Regulatory Network Analysis (18 papers)Protein Structure and Dynamics (10 papers)Nonlinear Dynamics and Pattern Formation (7 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Maya Mincheva
20 papers receiving 304 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 238
- Computer Networks and Communications 58
- Statistical and Nonlinear Physics 36
- Computational Theory and Mathematics 36
- Genetics 25
Countries citing papers authored by Maya Mincheva
This map shows the geographic impact of Maya Mincheva'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 Maya Mincheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Mincheva more than expected).
Fields of papers citing papers by Maya Mincheva
This network shows the impact of papers produced by Maya Mincheva. 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 Maya Mincheva. The network helps show where Maya Mincheva may publish in the future.
Co-authorship network of co-authors of Maya Mincheva
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Mincheva. A scholar is included among the top collaborators of Maya Mincheva 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 Maya Mincheva. Maya Mincheva 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 | 4 | |
| 3 | 7 | |
| 4 | 42 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 33 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 26 | |
| 17 | 64 | |
| 18 | 26 | |
| 19 | 21 | |
| 20 | 12 |
About Maya Mincheva
Maya Mincheva is a scholar working on Computer Networks and Communications, Molecular Biology and Modeling and Simulation, having authored 21 papers that have together received 317 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (18 papers), Protein Structure and Dynamics (10 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). The work is most often cited by research in Modeling and Simulation (20 citations), Molecular Biology (238 citations) and Computational Mathematics (2 citations). Maya Mincheva has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Marc R. Roussel, Carsten Conradi, Gheorghe Crăciun, Elisenda Feliu, David Siegel, Carsten Wiuf, Santiago Schnell, Brian Ingalls, Matthew Hartley and Casian Pantea. Their work appears in journals such as The Journal of Chemical Physics, Proceedings of the IEEE and PLoS Computational Biology.
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.