Ivan R. Minev
- Biomedical Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Polymers and Plastics top 5%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Co-authors
- Stéphanie P. LacourJames W. FawcettEvangelos DelivopoulosDaniel ChewChristoph TonderaIngrid GrazDzmitry AfanasenkauPavel Musienko
- Topics
- Neuroscience and Neural Engineering (19 papers)Advanced Sensor and Energy Harvesting Materials (17 papers)Conducting polymers and applications (7 papers)
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Ivan R. Minev
34 papers receiving 914 citations
Peers
Comparison fields: 5 of 85
- Biomedical Engineering 604
- Cellular and Molecular Neuroscience 373
- Polymers and Plastics 241
- Cognitive Neuroscience 205
- Electrical and Electronic Engineering 171
Countries citing papers authored by Ivan R. Minev
This map shows the geographic impact of Ivan R. Minev'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 Ivan R. Minev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan R. Minev more than expected).
Fields of papers citing papers by Ivan R. Minev
This network shows the impact of papers produced by Ivan R. Minev. 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 Ivan R. Minev. The network helps show where Ivan R. Minev may publish in the future.
Co-authorship network of co-authors of Ivan R. Minev
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan R. Minev. A scholar is included among the top collaborators of Ivan R. Minev 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 Ivan R. Minev. Ivan R. Minev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 43 | |
| 9 | 10 | |
| 10 | 107 | |
| 11 | 27 | |
| 12 | 78 | |
| 13 | 37 | |
| 14 | 37 | |
| 15 | 12 | |
| 16 | 68 | |
| 17 | 98 | |
| 18 | 57 | |
| 19 | 6 | |
| 20 | 16 |
About Ivan R. Minev
Ivan R. Minev is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Polymers and Plastics, having authored 34 papers that have together received 926 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (19 papers), Advanced Sensor and Energy Harvesting Materials (17 papers) and Conducting polymers and applications (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (373 citations), Polymers and Plastics (241 citations) and Biomedical Engineering (604 citations). Ivan R. Minev has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Stéphanie P. Lacour, James W. Fawcett, Evangelos Delivopoulos, Daniel Chew, Christoph Tondera, Ingrid Graz, Dzmitry Afanasenkau, Pavel Musienko, Adam Robinson and Yixin Zhang. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.