Goran Krilov
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Materials Chemistry top 10%
- Co-authors
- Richard A. FriesnerRobert AbelMarkus K. DahlgrenLingle WangJennifer L. KnightJoseph W. KausChuanjie WuDavid S. Cerutti
- Topics
- Protein Structure and Dynamics (12 papers)Spectroscopy and Quantum Chemical Studies (11 papers)Computational Drug Discovery Methods (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyThe Journal of Chemical Physics
- Partner nations
- United StatesIsraelCroatia
In The Last Decade
Goran Krilov
36 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.1k
- Computational Theory and Mathematics 948
- Organic Chemistry 771
- Atomic and Molecular Physics, and Optics 544
- Materials Chemistry 489
Countries citing papers authored by Goran Krilov
This map shows the geographic impact of Goran Krilov'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 Goran Krilov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Krilov more than expected).
Fields of papers citing papers by Goran Krilov
This network shows the impact of papers produced by Goran Krilov. 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 Goran Krilov. The network helps show where Goran Krilov may publish in the future.
Co-authorship network of co-authors of Goran Krilov
This figure shows the co-authorship network connecting the top 25 collaborators of Goran Krilov. A scholar is included among the top collaborators of Goran Krilov 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 Goran Krilov. Goran Krilov 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 | 1 | |
| 3 | 107 | |
| 4 | 33 | |
| 5 | 9 | |
| 6 | 345 | |
| 7 | 12 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 80 | |
| 15 | 26 | |
| 16 | 49 | |
| 17 | 62 | |
| 18 | 30 | |
| 19 | Complexity of Some Interesting (Chemical) Graphs | 9 |
| 20 | 5 |
About Goran Krilov
Goran Krilov is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Genetics, having authored 38 papers that have together received 3.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Computational Theory and Mathematics (948 citations), Molecular Biology (2.1k citations) and Organic Chemistry (771 citations). Goran Krilov has collaborated with scholars based in United States, Israel and Croatia. Frequent co-authors include Richard A. Friesner, Robert Abel, Markus K. Dahlgren, Lingle Wang, Jennifer L. Knight, Joseph W. Kaus, Chuanjie Wu, David S. Cerutti, Edward Harder and Jon R. Maple. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.
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.