Alexey Gotsman

2.0k total citations
39 papers, 470 citations indexed

About

Alexey Gotsman is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Alexey Gotsman has authored 39 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 20 papers in Hardware and Architecture and 13 papers in Artificial Intelligence. Recurrent topics in Alexey Gotsman's work include Distributed systems and fault tolerance (32 papers), Parallel Computing and Optimization Techniques (18 papers) and Security and Verification in Computing (8 papers). Alexey Gotsman is often cited by papers focused on Distributed systems and fault tolerance (32 papers), Parallel Computing and Optimization Techniques (18 papers) and Security and Verification in Computing (8 papers). Alexey Gotsman collaborates with scholars based in Spain, United Kingdom and United States. Alexey Gotsman's co-authors include Byron Cook, Hongseok Yang, Mark Batty, Mike Dodds, Giovanni Bernardi, Moshe Y. Vardi, Andreas Podelski, Andrey Rybalchenko, Josh Berdine and Matthew Parkinson and has published in prestigious journals such as Journal of the ACM, Theoretical Computer Science and ACM SIGPLAN Notices.

In The Last Decade

Alexey Gotsman

35 papers receiving 452 citations

Peers

Alexey Gotsman
Comparison fields: 5 of 25
  • Computer Networks and Communications 330
  • Artificial Intelligence 237
  • Hardware and Architecture 163
  • Computational Theory and Mathematics 155
  • Information Systems 70
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Citations per field, relative to Alexey Gotsman
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Citations per year, relative to Alexey Gotsman
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Countries citing papers authored by Alexey Gotsman

Since Specialization
Citations

This map shows the geographic impact of Alexey Gotsman'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 Alexey Gotsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Gotsman more than expected).

Fields of papers citing papers by Alexey Gotsman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexey Gotsman. 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 Alexey Gotsman. The network helps show where Alexey Gotsman may publish in the future.

Co-authorship network of co-authors of Alexey Gotsman

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Gotsman. A scholar is included among the top collaborators of Alexey Gotsman 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 Alexey Gotsman. Alexey Gotsman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 7
3 0
4
UniStore: A fault-tolerant marriage of causal and strong consistency.
0
5 11
6 0
7 1
8 5
9 3
10 4
11 5
12 4
13 0
14 11
15
C/C++ Causal Cycles Confound Compositionality.
2
16 3
17 7
18 17
19 37
20 9

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.

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