Ashwin Lall
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
-
- Network Security and Intrusion Detection
- Advanced Database Systems and Queries
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
Papers in
-
- Data Management and Algorithms 13
-
- Advanced Database Systems and Queries 6
- Caching and Content Delivery 4
- Constraint Satisfaction and Optimization 4
- Error Correcting Code Techniques 4
- Co-authors
- Jun XuMitsunori OgiharaBenjamin Van DurmeAtish Das SarmaDanupon NanongkaiHui ZhangVyas SekarRichard J. Lipton
- Journals
- ACM SIGMETRICS Performance Evaluation Review (3 papers)Proceedings of the VLDB Endowment (3 papers)IEEE Access (1 paper)The VLDB Journal (1 paper)Journal of Network and Systems Management (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Ashwin Lall
35 papers receiving 686 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 272
- Computer Networks and Communications 418
- Artificial Intelligence 323
- Geography, Planning and Development 42
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Ashwin Lall
This map shows the geographic impact of Ashwin Lall'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 Ashwin Lall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Lall more than expected).
Fields of papers citing papers by Ashwin Lall
This network shows the impact of papers produced by Ashwin Lall. 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 Ashwin Lall. The network helps show where Ashwin Lall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashwin Lall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 27 | |
| 8 | 2015 | 6 | |
| 9 | 2015 | 8 | |
| 10 | 2015 | 13 | |
| 11 | 2014 | 4 | |
| 12 | 2012 | 1 | |
| 13 | 2011 | 34 | |
| 14 | Online Generation of Locality Sensitive Hash Signatures | 2010 | 28 |
| 15 | 2010 | 10 | |
| 16 | Probabilistic counting with randomized storage | 2009 | 23 |
| 17 | Streaming Pointwise Mutual Information | 2009 | 22 |
| 18 | 2009 | 25 | |
| 19 | The Bitwise Bloom Filter | 2007 | 0 |
| 20 | 2006 | 128 |
About Ashwin Lall
Ashwin Lall is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Transportation and Statistical and Nonlinear Physics, having authored 38 papers that have together received 701 indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (6 papers), Algorithms and Data Compression (6 papers), Caching and Content Delivery (4 papers), Constraint Satisfaction and Optimization (4 papers), Complex Network Analysis Techniques (4 papers), Error Correcting Code Techniques (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Signal Processing (272 citations), Computer Networks and Communications (418 citations), Artificial Intelligence (323 citations), Geography, Planning and Development (42 citations) and Computer Vision and Pattern Recognition (101 citations). Ashwin Lall has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Jun Xu, Mitsunori Ogihara, Benjamin Van Durme, Atish Das Sarma, Danupon Nanongkai, Hui Zhang, Vyas Sekar, Richard J. Lipton, Min Xie and Raymond Chi-Wing Wong. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Proceedings of the VLDB Endowment, IEEE Access, The VLDB Journal and Journal of Network and Systems Management.
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.