Victor G. Kač
- Geometry and Topology top 0.01%
- Algebra and Number Theory top 0.01%
- Statistical and Nonlinear Physics top 0.02%
- Mathematical Physics top 0.02%
- Nuclear and High Energy Physics top 1%
- Co-authors
- Pokman CheungDale H. PetersonMinoru WakimotoIgor FrenkelAndrey RadulDavid KazhdanShun‐Jen ChengCorrado De Concini
- Topics
- Algebraic structures and combinatorial models (137 papers)Advanced Topics in Algebra (136 papers)Nonlinear Waves and Solitons (93 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Victor G. Kač
167 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Geometry and Topology 11.2k
- Algebra and Number Theory 8.2k
- Statistical and Nonlinear Physics 6.7k
- Mathematical Physics 4.5k
- Nuclear and High Energy Physics 1.9k
Countries citing papers authored by Victor G. Kač
This map shows the geographic impact of Victor G. Kač'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 Victor G. Kač with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor G. Kač more than expected).
Fields of papers citing papers by Victor G. Kač
This network shows the impact of papers produced by Victor G. Kač. 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 Victor G. Kač. The network helps show where Victor G. Kač may publish in the future.
Co-authorship network of co-authors of Victor G. Kač
This figure shows the co-authorship network connecting the top 25 collaborators of Victor G. Kač. A scholar is included among the top collaborators of Victor G. Kač 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 Victor G. Kač. Victor G. Kač 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 | 8 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | Classical Affine W-Algebras for glN and Associated Integrable Hamiltonian Hierarchies | 11 |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 40 | |
| 13 | 100 | |
| 14 | 51 | |
| 15 | Vertex algebras for beginnersbreakdown → | 590 |
| 16 | 22 | |
| 17 | 47 | |
| 18 | W_1+∞ and W(gl_N) with central charge N | 60 |
| 19 | 3 | |
| 20 | Infinite-dimensional Lie algebras, theta functions and modular formsbreakdown → | 425 |
About Victor G. Kač
Victor G. Kač is a scholar working on Algebra and Number Theory, Geometry and Topology and Statistical and Nonlinear Physics, having authored 177 papers that have together received 13.7k indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (137 papers), Advanced Topics in Algebra (136 papers) and Nonlinear Waves and Solitons (93 papers). The work is most often cited by research in Algebra and Number Theory (8.2k citations), Geometry and Topology (11.2k citations) and Statistical and Nonlinear Physics (6.7k citations). Victor G. Kač has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Pokman Cheung, Dale H. Peterson, Minoru Wakimoto, Igor Frenkel, Andrey Radul, David Kazhdan, Shun‐Jen Cheng, Corrado De Concini, Edward Frenkel and Claudio Procesi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nuclear Physics B and Physics Letters B.
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.