Surajit Chaudhuri
About
In The Last Decade
Surajit Chaudhuri
235 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Networks and Communications 9.6k
- Signal Processing 7.9k
- Artificial Intelligence 5.5k
- Information Systems 5.2k
- Management Science and Operations Research 2.5k
Countries citing papers authored by Surajit Chaudhuri
This map shows the geographic impact of Surajit Chaudhuri'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 Surajit Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surajit Chaudhuri more than expected).
Fields of papers citing papers by Surajit Chaudhuri
This network shows the impact of papers produced by Surajit Chaudhuri. 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 Surajit Chaudhuri. The network helps show where Surajit Chaudhuri may publish in the future.
Co-authorship network of co-authors of Surajit Chaudhuri
This figure shows the co-authorship network connecting the top 25 collaborators of Surajit Chaudhuri. A scholar is included among the top collaborators of Surajit Chaudhuri 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 Surajit Chaudhuri. Surajit Chaudhuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters | 13 |
| 3 | Database Application Developer Tools Using Static Analysis and Dynamic Profiling. | 1 |
| 4 | Big Data and Enterprise Analytics. | 1 |
| 5 | Experiences with using Data Cleaning Technology for Bing Services. | 1 |
| 6 | Towards a Domain Independent Platform for Data Cleaning. | 6 |
| 7 | 51 | |
| 8 | Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? | 66 |
| 9 | Estimating Progress of Long Running SQL Queries. | 22 |
| 10 | Automated Ranking of Database Query Results | 130 |
| 11 | 157 | |
| 12 | Storage and Retrieval of XML Data Using Relational Databases | 5 |
| 13 | Integration of Data Mining and Relational Databases | 21 |
| 14 | Issues in Network Management in the Next Millennium | 1 |
| 15 | On Sampling and Relational Operators. | 4 |
| 16 | Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining | 19 |
| 17 | Evaluating Top-k Selection Queries | 172 |
| 18 | Maintenance of Materialized Views: Problems, Techniques, and Applications. | 200 |
| 19 | Including Group-By in Query Optimization | 138 |
| 20 | Temporal Relationships in Databases | 8 |
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.