Anurag Acharya
- Computer Networks and Communications top 1%
- Hardware and Architecture top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Co-authors
- Joel SaltzMustafa UysalGuy EdjlaliSanjeev SetiaAlan SussmanVipin ChaudharyChialin ChangPeter Lee
- Topics
- Advanced Data Storage Technologies (17 papers)Parallel Computing and Optimization Techniques (11 papers)Advanced Database Systems and Queries (8 papers)
- Partner nations
- United States
In The Last Decade
Anurag Acharya
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 1.0k
- Hardware and Architecture 406
- Information Systems 354
- Artificial Intelligence 327
- Signal Processing 163
Countries citing papers authored by Anurag Acharya
This map shows the geographic impact of Anurag Acharya'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 Anurag Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anurag Acharya more than expected).
Fields of papers citing papers by Anurag Acharya
This network shows the impact of papers produced by Anurag Acharya. 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 Anurag Acharya. The network helps show where Anurag Acharya may publish in the future.
Co-authorship network of co-authors of Anurag Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Acharya. A scholar is included among the top collaborators of Anurag Acharya 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 Anurag Acharya. Anurag Acharya 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | MAPbox: using parameterized behavior classes to confine untrusted applications | 64 |
| 6 | Exploiting result equivalence in caching dynamic web content | 35 |
| 7 | 15 | |
| 8 | An Evaluation of Architectural Alternatives for Rapidly Growing Datasets: Active Disks, Clusters, SMPs | 4 |
| 9 | A Study of Internet Round-trip Delay | 48 |
| 10 | Structure and Performance of Decision Support Algorithms on Active Disks | 6 |
| 11 | 240 | |
| 12 | 0 | |
| 13 | 32 | |
| 14 | Network-aware mobile programs | 8 |
| 15 | 2 | |
| 16 | 55 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | Collection-Oriented Match: Scaling Up the Data in Production Systems, | 7 |
| 20 | 13 |
About Anurag Acharya
Anurag Acharya is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Parallel Computing and Optimization Techniques (11 papers) and Advanced Database Systems and Queries (8 papers). The work is most often cited by research in Hardware and Architecture (406 citations), Computer Networks and Communications (1.0k citations) and Information Systems (354 citations). Anurag Acharya has collaborated with scholars based in United States. Frequent co-authors include Joel Saltz, Mustafa Uysal, Joel Saltz, Guy Edjlali, Sanjeev Setia, Alan Sussman, Vipin Chaudhary, Chialin Chang, Peter Lee and David Tarditi. Their work appears in journals such as Communications of the ACM, Clinical Chemistry and ACM SIGMOD Record.
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.