Gautam Das

197 papers receiving 6.1k citations

Gautam Das's Hit Papers

Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems 2018 · 259 citations
2590+7+15Years since publication100200300400

Peers

Gautam Das
Comparison fields: 5 of 178
  • Signal Processing 2.5k
  • Computer Graphics and Computer-Aided Design 441
  • Computer Networks and Communications 2.5k
  • Information Systems 2.0k
  • Artificial Intelligence 2.0k
Replace Sudipto Guha with:
Sudipto Guha United States
H. V. Jagadish United States
Kian‐Lee Tan Singapore
Nikos Mamoulis Hong Kong
Xuemin Lin Australia
Dimitrios Gunopulos United States
Yannis Manolopoulos Greece
Divyakant Agrawal United States
Nick Koudas Canada
Anthony K. H. Tung Singapore
Gautam Das relative to Sudipto Guha United States Sudipto Guha's profile →
Citations per field
00.5×1.6×
Sudipto Guha · 1×
Citations per year

Countries citing papers authored by Gautam Das

Since Specialization
Citations

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

Fields of papers citing papers by Gautam Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DBXplorer: a system for keyword-based search over relational databases
Hit paper breakdown →
2003432
2
Rule discovery from time series
1998377
3 2012337
4 1993290
5 2009267
6
Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems
Hit paper breakdown →
2018259
7 2008160
8 2003155
9 2007137
10
Automated Ranking of Database Query Results
2003130
11 2012112
12 2006105
13 200699
14 200298
15 199593
16 201586
17 200685
18 200480
19 201878
20 200178

About Gautam Das

Gautam Das is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 210 papers that have together received 6.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (86 papers), Advanced Database Systems and Queries (39 papers), Web Data Mining and Analysis (35 papers), Data Mining Algorithms and Applications (22 papers), Computational Geometry and Mesh Generation (19 papers), Data Stream Mining Techniques (17 papers), Caching and Content Delivery (16 papers) and Algorithms and Data Compression (12 papers). The work is most often cited by research in Signal Processing (2.5k citations), Computer Graphics and Computer-Aided Design (441 citations), Computer Networks and Communications (2.5k citations), Information Systems (2.0k citations) and Artificial Intelligence (2.0k citations). Gautam Das has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Surajit Chaudhuri, Sanjay Agrawal, Heikki Mannila, Senjuti Basu Roy, Dimitrios Gunopulos, Nick Koudas, Sihem Amer-Yahia, Eric H. Baehrecke, Bhupendra V. Shravage and Vivek Narasayya. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, Computational Geometry and ACM Transactions on Database Systems.

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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