Ivan G. Todorov
- Mathematical Physics top 5%
- Algebra and Number Theory top 10%
- Applied Mathematics top 5%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Co-authors
- Vern I. PaulsenLyudmila TurowskaAli S. KavrukMark TomfordeAndreas WinterKate JuschenkoSimone SeveriniVictor S. Shulman
- Topics
- Advanced Operator Algebra Research (37 papers)Advanced Topics in Algebra (25 papers)Holomorphic and Operator Theory (17 papers)
- Journals
- IEEE Transactions on Information TheoryCommunications in Mathematical PhysicsTransactions of the American Mathematical Society
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Ivan G. Todorov
49 papers receiving 263 citations
Peers
Comparison fields: 5 of 26
- Mathematical Physics 200
- Algebra and Number Theory 124
- Applied Mathematics 81
- Artificial Intelligence 68
- Atomic and Molecular Physics, and Optics 65
Countries citing papers authored by Ivan G. Todorov
This map shows the geographic impact of Ivan G. Todorov'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 G. Todorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan G. Todorov more than expected).
Fields of papers citing papers by Ivan G. Todorov
This network shows the impact of papers produced by Ivan G. Todorov. 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 G. Todorov. The network helps show where Ivan G. Todorov may publish in the future.
Co-authorship network of co-authors of Ivan G. Todorov
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan G. Todorov. A scholar is included among the top collaborators of Ivan G. Todorov 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 G. Todorov. Ivan G. Todorov 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Perfect Strategies for Non-Local Games | 10 |
| 6 | 5 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | Interactions between Harmonic Analysis and Operator Theory | 5 |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 32 | |
| 14 | s-number of elementary operators on C*-algebras | 1 |
| 15 | 40 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | Synthetic properties of ternary masa-bimodules | 2 |
| 20 | On subspace lattices II. Continuity of Lat | 6 |
About Ivan G. Todorov
Ivan G. Todorov is a scholar working on Algebra and Number Theory, Mathematical Physics and Applied Mathematics, having authored 56 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Operator Algebra Research (37 papers), Advanced Topics in Algebra (25 papers) and Holomorphic and Operator Theory (17 papers). The work is most often cited by research in Algebra and Number Theory (124 citations), Mathematical Physics (200 citations) and Applied Mathematics (81 citations). Ivan G. Todorov has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Vern I. Paulsen, Lyudmila Turowska, Ali S. Kavruk, Mark Tomforde, Andreas Winter, Kate Juschenko, Simone Severini, Victor S. Shulman, George Eleftherakis and Douglas Farenick. Their work appears in journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics and Transactions of the American Mathematical Society.
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.