Swarup Acharya
- Computer Networks and Communications top 0.2%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Stanley B. ZdonikViswanath PoosalaPhillip B. GibbonsMichael J. FranklinRafael AlonsoSridhar RamaswamyS. MuthukrishnanMichael Franklin
- Topics
- Distributed systems and fault tolerance (14 papers)Advanced Data Storage Technologies (13 papers)Advanced Database Systems and Queries (11 papers)
- Journals
- ACM SIGMOD RecordBell Labs Technical JournalIEEE Personal Communications
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Swarup Acharya
32 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 2.7k
- Signal Processing 1.1k
- Artificial Intelligence 601
- Information Systems 356
- Computer Vision and Pattern Recognition 292
Countries citing papers authored by Swarup Acharya
This map shows the geographic impact of Swarup 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 Swarup Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swarup Acharya more than expected).
Fields of papers citing papers by Swarup Acharya
This network shows the impact of papers produced by Swarup 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 Swarup Acharya. The network helps show where Swarup Acharya may publish in the future.
Co-authorship network of co-authors of Swarup Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of Swarup Acharya. A scholar is included among the top collaborators of Swarup 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 Swarup Acharya. Swarup 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 | 4 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 34 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 63 | |
| 8 | Architecting Self-Tuning Optical Networks | 4 |
| 9 | 95 | |
| 10 | Aqua: A Fast Decision Support Systems Using Approximate Query Answers | 48 |
| 11 | 126 | |
| 12 | 91 | |
| 13 | 146 | |
| 14 | Broadcast Disks: Dissemination-based Data Management for Asymmetric Communication Environments | 16 |
| 15 | 249 | |
| 16 | Disseminating Updates on Broadcast Disks | 85 |
| 17 | Broadcast disksbreakdown → | 570 |
| 18 | 52 | |
| 19 | Broadcast Disks: Data Management for Asymmetric Communications Environments | 165 |
| 20 | 51 |
About Swarup Acharya
Swarup Acharya is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (14 papers), Advanced Data Storage Technologies (13 papers) and Advanced Database Systems and Queries (11 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Signal Processing (1.1k citations) and Hardware and Architecture (198 citations). Swarup Acharya has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Stanley B. Zdonik, Viswanath Poosala, Phillip B. Gibbons, Michael J. Franklin, Rafael Alonso, Sridhar Ramaswamy, Michael J. Franklin, S. Muthukrishnan, Michael Franklin and Hui Lei. Their work appears in journals such as ACM SIGMOD Record, Bell Labs Technical Journal and IEEE Personal Communications.
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.