Nikolay Kochev
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Materials Chemistry
- Organic Chemistry
- Biomedical Engineering
- Co-authors
- Nina JeliazkovaVedrin JeliazkovLars CarlssonThomas J. AshbyOla EngkvistJiangming SunHugo CeulemansIvan Georgiev
- Topics
- Computational Drug Discovery Methods (13 papers)Analytical Chemistry and Chromatography (8 papers)Metabolomics and Mass Spectrometry Studies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoNature Nanotechnology
- Partner nations
- BulgariaSwedenUnited Kingdom
In The Last Decade
Nikolay Kochev
26 papers receiving 512 citations
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 278
- Molecular Biology 232
- Materials Chemistry 189
- Organic Chemistry 51
- Biomedical Engineering 50
Countries citing papers authored by Nikolay Kochev
This map shows the geographic impact of Nikolay Kochev'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 Nikolay Kochev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay Kochev more than expected).
Fields of papers citing papers by Nikolay Kochev
This network shows the impact of papers produced by Nikolay Kochev. 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 Nikolay Kochev. The network helps show where Nikolay Kochev may publish in the future.
Co-authorship network of co-authors of Nikolay Kochev
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Kochev. A scholar is included among the top collaborators of Nikolay Kochev 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 Nikolay Kochev. Nikolay Kochev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 52 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 22 | |
| 8 | 55 | |
| 9 | 2 | |
| 10 | Computational Prediction of Synthetic Accessibility of Organic Molecules with Ambit-Synthetic Accessibility Tool | 3 |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 133 | |
| 14 | 79 | |
| 15 | 35 | |
| 16 | 27 | |
| 17 | 31 | |
| 18 | Implementation and testing of routine procedure for mixture analysis by search in infrared spectral library | 2 |
| 19 | 8 | |
| 20 | 3 |
About Nikolay Kochev
Nikolay Kochev is a scholar working on Computational Theory and Mathematics, Biophysics and Analytical Chemistry, having authored 27 papers that have together received 526 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Computational Theory and Mathematics (278 citations), Biophysics (32 citations) and Materials Chemistry (189 citations). Nikolay Kochev has collaborated with scholars based in Bulgaria, Sweden and United Kingdom. Frequent co-authors include Nina Jeliazkova, Vedrin Jeliazkov, Lars Carlsson, Thomas J. Ashby, Ola Engkvist, Jiangming Sun, Hugo Ceulemans, Ivan Georgiev, Vladimir Chupakhin and Jörg K. Wegner. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Nature Nanotechnology.
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.