Amitabh Trehan
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computational Theory and Mathematics
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Gopal PanduranganJared SaiaPeter RobinsonShay KuttenDavid PelegThomas P. HayesNavin RustagiAtish Das Sarma
- Topics
- Distributed systems and fault tolerance (12 papers)Peer-to-Peer Network Technologies (7 papers)Caching and Content Delivery (7 papers)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Amitabh Trehan
20 papers receiving 150 citations
Peers
Comparison fields: 5 of 25
- Computer Networks and Communications 137
- Artificial Intelligence 38
- Computational Theory and Mathematics 33
- Signal Processing 19
- Electrical and Electronic Engineering 12
Countries citing papers authored by Amitabh Trehan
This map shows the geographic impact of Amitabh Trehan'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 Amitabh Trehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amitabh Trehan more than expected).
Fields of papers citing papers by Amitabh Trehan
This network shows the impact of papers produced by Amitabh Trehan. 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 Amitabh Trehan. The network helps show where Amitabh Trehan may publish in the future.
Co-authorship network of co-authors of Amitabh Trehan
This figure shows the co-authorship network connecting the top 25 collaborators of Amitabh Trehan. A scholar is included among the top collaborators of Amitabh Trehan 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 Amitabh Trehan. Amitabh Trehan 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 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | Self-healing using virtual structures | 2 |
| 14 | 6 | |
| 15 | Self-healing Deterministic Expanders | 3 |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 15 | |
| 19 | 18 | |
| 20 | 15 |
About Amitabh Trehan
Amitabh Trehan is a scholar working on Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 23 papers that have together received 161 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (12 papers), Peer-to-Peer Network Technologies (7 papers) and Caching and Content Delivery (7 papers). The work is most often cited by research in Computer Networks and Communications (137 citations), Computational Theory and Mathematics (33 citations) and Signal Processing (19 citations). Amitabh Trehan has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Gopal Pandurangan, Jared Saia, Peter Robinson, Shay Kutten, David Peleg, Thomas P. Hayes, Navin Rustagi, Atish Das Sarma, Danny Dolev and Ron Lavi. Their work appears in journals such as Journal of the ACM, Theoretical Computer Science and Distributed Computing.
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.