Sumeet Katariya

423 total citations
14 papers, 91 citations indexed

About

Sumeet Katariya is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Sumeet Katariya has authored 14 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Information Systems. Recurrent topics in Sumeet Katariya's work include Advanced Bandit Algorithms Research (4 papers), Optimization and Search Problems (3 papers) and Machine Learning and Algorithms (2 papers). Sumeet Katariya is often cited by papers focused on Advanced Bandit Algorithms Research (4 papers), Optimization and Search Problems (3 papers) and Machine Learning and Algorithms (2 papers). Sumeet Katariya collaborates with scholars based in United States, Belgium and Germany. Sumeet Katariya's co-authors include Nam Sung Kim, Stark C. Draper, Hamid Ghasemi, Nikhil Rao, Karthik Subbian, Chandan K. Reddy, Kevin Jamieson, Xianfeng Tang, Dongwon Lee and Atul Deshpande and has published in prestigious journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Proceedings of the ACM Web Conference 2022 and International Conference on Machine Learning.

In The Last Decade

Sumeet Katariya

13 papers receiving 85 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sumeet Katariya United States 6 35 34 23 18 18 14 91
Jim Schaad 3 12 0.3× 18 0.5× 11 0.5× 37 2.1× 2 0.1× 3 58
Khiem Le Vietnam 4 59 1.7× 17 0.5× 9 0.4× 77 4.3× 3 0.2× 12 106
Baptiste Rozière United States 5 7 0.2× 39 1.1× 5 0.2× 7 0.4× 6 0.3× 7 73
Benjamin Gaidioz Switzerland 9 19 0.5× 12 0.4× 26 1.1× 193 10.7× 8 0.4× 29 203
I. Vukotić United States 6 10 0.3× 27 0.8× 13 0.6× 109 6.1× 3 0.2× 26 127
Marguerite C. Murphy United States 4 11 0.3× 30 0.9× 28 1.2× 49 2.7× 2 0.1× 9 81
Hemanta K. Maji United States 6 21 0.6× 65 1.9× 3 0.1× 8 0.4× 3 0.2× 19 92
Shi Bai United States 5 8 0.2× 49 1.4× 4 0.2× 12 0.7× 6 0.3× 15 66
Meltem Sönmez Turan United States 4 16 0.5× 42 1.2× 8 0.3× 11 0.6× 11 55
Ciprian Teodorov France 5 11 0.3× 13 0.4× 8 0.3× 12 0.7× 2 0.1× 20 51

Countries citing papers authored by Sumeet Katariya

Since Specialization
Citations

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

Fields of papers citing papers by Sumeet Katariya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumeet Katariya

This figure shows the co-authorship network connecting the top 25 collaborators of Sumeet Katariya. A scholar is included among the top collaborators of Sumeet Katariya 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 Sumeet Katariya. Sumeet Katariya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kveton, Branislav, et al.. (2023). Towards Sequential Counterfactual Learning to Rank. 122–128. 1 indexed citations
2.
Kveton, Branislav, et al.. (2023). Meta-Learning for Simple Regret Minimization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6709–6717. 1 indexed citations
3.
Cui, Limeng, Xianfeng Tang, Sumeet Katariya, et al.. (2022). ALLIE: Active Learning on Large-scale Imbalanced Graphs. Proceedings of the ACM Web Conference 2022. 690–698. 12 indexed citations
4.
Rao, Nikhil, et al.. (2022). ANTHEM. VTechWorks (Virginia Tech). 161–171. 3 indexed citations
5.
Rao, Nikhil, et al.. (2021). Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. VTechWorks (Virginia Tech). 34. 3 indexed citations
6.
Rao, Nikhil, et al.. (2020). Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. 7–15. 12 indexed citations
7.
Katariya, Sumeet, et al.. (2017). Sequential Multiple Hypothesis Testing with Type I Error Control.. International Conference on Artificial Intelligence and Statistics. 1468–1476. 5 indexed citations
8.
Katariya, Sumeet, et al.. (2017). Stochastic Rank-1 Bandits. 392–401. 5 indexed citations
9.
Katariya, Sumeet, Branislav Kveton, Csaba Szepesvári, & Zheng Wen. (2016). DCM bandits: learning to rank with multiple clicks. International Conference on Machine Learning. 1215–1224. 2 indexed citations
10.
Jamieson, Kevin, Sumeet Katariya, Atul Deshpande, & Robert D. Nowak. (2015). Sparse Dueling Bandits. International Conference on Artificial Intelligence and Statistics. 416–424. 7 indexed citations
11.
Katariya, Sumeet, et al.. (2015). Drowsiness Detection Methods for Driver's: A Review. International Journal of Computer Applications. 122(19). 36–38. 2 indexed citations
12.
Katariya, Sumeet, et al.. (2014). Smart Street Lighting using a ZigBee & GSM Network for High Efficiency & Reliability. 3(4). 1 indexed citations
13.
Kim, Nam Sung, et al.. (2011). Analyzing the Impact of Joint Optimization of Cell Size, Redundancy, and ECC on Low-Voltage SRAM Array Total Area. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 20(12). 2333–2337. 11 indexed citations
14.

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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