Sudipto Guha
- Artificial Intelligence top 0.2%
- Computer Networks and Communications top 0.5%
- Signal Processing top 0.1%
- Information Systems top 0.5%
- Computational Theory and Mathematics top 0.2%
- Co-authors
- Rajeev RastogiKyuseok ShimMoses CharikarKamesh MunagalaNick KoudasSamir KhullerAndrew McGregorÉva Tardos
- Topics
- Data Management and Algorithms (28 papers)Optimization and Search Problems (28 papers)Advanced Database Systems and Queries (25 papers)
- Journals
- The Journal of Physical Chemistry BIEEE Transactions on Information TheorySensors and Actuators B Chemical
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Sudipto Guha
113 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 3.7k
- Computer Networks and Communications 2.7k
- Signal Processing 2.3k
- Information Systems 1.3k
- Computational Theory and Mathematics 1.2k
Countries citing papers authored by Sudipto Guha
This map shows the geographic impact of Sudipto Guha'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 Sudipto Guha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudipto Guha more than expected).
Fields of papers citing papers by Sudipto Guha
This network shows the impact of papers produced by Sudipto Guha. 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 Sudipto Guha. The network helps show where Sudipto Guha may publish in the future.
Co-authorship network of co-authors of Sudipto Guha
This figure shows the co-authorship network connecting the top 25 collaborators of Sudipto Guha. A scholar is included among the top collaborators of Sudipto Guha 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 Sudipto Guha. Sudipto Guha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Semi-Supervised Learning on Data Streams via Temporal Label Propagation | 22 |
| 2 | Stochastic Regret Minimization via Thompson Sampling | 5 |
| 3 | 37 | |
| 4 | 69 | |
| 5 | Iterated Allocations with Delayed Feedback | 1 |
| 6 | On Index Policies for Restless Bandit Problems | 3 |
| 7 | Space-Efficient Sampling | 22 |
| 8 | 20 | |
| 9 | 28 | |
| 10 | XWAVE: optimal and approximate extended wavelets | 21 |
| 11 | 15 | |
| 12 | Asymmetric k-center is log * n-hard to Approximate | 3 |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 268 | |
| 16 | 13 | |
| 17 | Improved approximations of crossings in graph drawings and VLSI layout areas | 2 |
| 18 | Efficient recovery from power outage | 30 |
| 19 | 103 | |
| 20 | 85 |
About Sudipto Guha
Sudipto Guha is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Networks and Communications, having authored 114 papers that have together received 7.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (28 papers), Optimization and Search Problems (28 papers) and Advanced Database Systems and Queries (25 papers). The work is most often cited by research in Signal Processing (2.3k citations), Computer Networks and Communications (2.7k citations) and Artificial Intelligence (3.7k citations). Sudipto Guha has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Rajeev Rastogi, Kyuseok Shim, Kyuseok Shim, Moses Charikar, Kamesh Munagala, Nick Koudas, Samir Khuller, Andrew McGregor, Éva Tardos and David B. Shmoys. Their work appears in journals such as The Journal of Physical Chemistry B, IEEE Transactions on Information Theory and Sensors and Actuators B Chemical.
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.