Anton Lokhmotov
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Arutyun AvetisyanA. MonakovDominik GreweGrigori FursinDavide Del VentoAllen D. MalonyZbigniew ChamskiMichael Gerndt
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Distributed and Parallel Computing Systems (3 papers)Advanced Data Storage Technologies (3 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Anton Lokhmotov
11 papers receiving 233 citations
Peers
Comparison fields: 5 of 49
- Hardware and Architecture 183
- Computer Networks and Communications 157
- Computational Theory and Mathematics 59
- Artificial Intelligence 46
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Anton Lokhmotov
This map shows the geographic impact of Anton Lokhmotov'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 Anton Lokhmotov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Lokhmotov more than expected).
Fields of papers citing papers by Anton Lokhmotov
This network shows the impact of papers produced by Anton Lokhmotov. 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 Anton Lokhmotov. The network helps show where Anton Lokhmotov may publish in the future.
Co-authorship network of co-authors of Anton Lokhmotov
This figure shows the co-authorship network connecting the top 25 collaborators of Anton Lokhmotov. A scholar is included among the top collaborators of Anton Lokhmotov 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 Anton Lokhmotov. Anton Lokhmotov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 39 | |
| 10 | Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems | 0 |
| 11 | Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures | 145 |
| 12 | 4 |
About Anton Lokhmotov
Anton Lokhmotov is a scholar working on Computational Mathematics, Hardware and Architecture and Software, having authored 12 papers that have together received 250 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Hardware and Architecture (183 citations), Computational Mathematics (12 citations) and Computer Networks and Communications (157 citations). Anton Lokhmotov has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Arutyun Avetisyan, A. Monakov, Dominik Grewe, Grigori Fursin, Davide Del Vento, Allen D. Malony, Zbigniew Chamski, Michael Gerndt, Marc Baboulin and Flavio Vella. Their work appears in journals such as ACM SIGPLAN Notices, Lecture notes in computer science and Current Drug Delivery.
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.