Viswanath Poosala

4.7k citations
27 papers · 3.1k indexed · h-index 22

Viswanath Poosala

27 papers receiving 2.8k citations

Peers

Viswanath Poosala
Comparison fields: 5 of 62
  • Signal Processing 2.4k
  • Computer Networks and Communications 2.3k
  • Artificial Intelligence 1.5k
  • Information Systems 597
  • Computer Vision and Pattern Recognition 533
Replace Sunil Prabhakar with:
Sunil Prabhakar United States
Vassilis J. Tsotras United States
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Citations per field
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Citations per year

Countries citing papers authored by Viswanath Poosala

Since Specialization
Citations

This map shows the geographic impact of Viswanath Poosala'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 Viswanath Poosala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viswanath Poosala more than expected).

Fields of papers citing papers by Viswanath Poosala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viswanath Poosala. 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 Viswanath Poosala. The network helps show where Viswanath Poosala may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Viswanath Poosala, 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 Viswanath Poosala Line = papers co-authored together Viswanath Poosala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201119
2 201115
3 2002120
4 200095
5
Aqua: A Fast Decision Support Systems Using Approximate Query Answers
199948
6
Approximate Query Answering using Histograms.
199949
7
Histogram-Based Approximation of Set-Valued Query-Answers
1999122
8 1999126
9 199991
10 1999146
11
Optimal Histograms with Quality Guarantees
1998255
12
Bulletin of the Technical Committee on
19981
13
Selectivity Estimation Without the Attribute Value Independence Assumption
1997286
14
The New Jersey Data Reduction Report.
1997152
15
Histogram-based estimation techniques in database systems
199767
16
Fast Incremental Maintenance of Approximate Histograms
1997113
17
Estimation of Query-Result Distribution and its Application in Parallel-Join Load Balancing
199639
18 1996382
19
Histogram-Based Solutions to Diverse Database Estimation Problems.
199516
20 1995193

About Viswanath Poosala

Viswanath Poosala is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Geography, Planning and Development, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (23 papers), Advanced Database Systems and Queries (22 papers), Algorithms and Data Compression (6 papers), Web Data Mining and Analysis (4 papers), Semantic Web and Ontologies (3 papers), Data Mining Algorithms and Applications (3 papers), Geographic Information Systems Studies (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Signal Processing (2.4k citations), Computer Networks and Communications (2.3k citations), Artificial Intelligence (1.5k citations), Information Systems (597 citations) and Computer Vision and Pattern Recognition (533 citations). Viswanath Poosala has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Yannis Ioannidis, Phillip B. Gibbons, Swarup Acharya, Sridhar Ramaswamy, Peter J. Haas, Eugene J. Shekita, Yossi Matias, Kenneth C. Sevcik, H. V. Jagadish and S. Muthukrishnan. Their work appears in journals such as ACM SIGMOD Record, Bell Labs Technical Journal, ACM Transactions on Database Systems, Very Large Data Bases and IEEE Data(base) Engineering Bulletin.

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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