Ashwin Lall

1.1k citations
38 papers · 701 indexed · h-index 14

Impact in

Papers in

Ashwin Lall

35 papers receiving 686 citations

Peers

Ashwin Lall
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
Replace Holger Bast with:
Holger Bast Germany
Mingxi Wu United States
Jeffrey Considine United States
Yongluan Zhou Denmark
Michalis Potamias United States
Panagiotis Bouros Germany
Wenqing Lin China
Jaroslav Pokorný Czechia
Hans Hinterberger Switzerland
Ashwin Lall relative to Holger Bast Germany Holger Bast's profile →
Citations per field
00.5×10×14.5×
Holger Bast · 1×
Citations per year

Countries citing papers authored by Ashwin Lall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ashwin Lall Line = papers co-authored together Ashwin Lall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20217
4 20202
5 201922
6 201921
7 201827
8 20156
9 20158
10 201513
11 20144
12 20121
13 201134
14
Online Generation of Locality Sensitive Hash Signatures
201028
15 201010
16
Probabilistic counting with randomized storage
200923
17
Streaming Pointwise Mutual Information
200922
18 200925
19
The Bitwise Bloom Filter
20070
20 2006128

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.

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