Bhargav Kanagal
- Signal Processing top 5%
- Data Management and Algorithms 4
- Information Systems top 2%
- Recommender Systems and Techniques 5
- Artificial Intelligence top 5%
- Topic Modeling 5
- Bayesian Modeling and Causal Inference 3
- Stochastic Gradient Optimization Techniques 2
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- Advanced Bandit Algorithms Research 3
- Data Quality and Management 2
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- Advanced Database Systems and Queries 5
- Co-authors
- Amol DeshpandeSteffen RendleXiangnan HeVanja JosifovskiSandeep PandeyAmr AhmedJoshua AinslieAnirudh Ravula
- Journals
- Proceedings of the VLDB Endowment (1 paper)Proceedings - International Conference on Data Engineering (1 paper)
- Partner nations
- United StatesSwitzerlandSingapore
In The Last Decade
Bhargav Kanagal
15 papers receiving 543 citations
Peers
Comparison fields: 5 of 56
- Signal Processing 147
- Information Systems 269
- Artificial Intelligence 330
- Management Science and Operations Research 115
- Computer Networks and Communications 144
Countries citing papers authored by Bhargav Kanagal
This map shows the geographic impact of Bhargav Kanagal'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 Bhargav Kanagal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhargav Kanagal more than expected).
Fields of papers citing papers by Bhargav Kanagal
This network shows the impact of papers produced by Bhargav Kanagal. 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 Bhargav Kanagal. The network helps show where Bhargav Kanagal may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Bhargav Kanagal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 28 | |
| 3 | 2021 | 54 | |
| 4 | 2020 | 46 | |
| 5 | 2019 | 5 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 138 | |
| 8 | 2013 | 27 | |
| 9 | 2013 | 22 | |
| 10 | 2012 | 49 | |
| 11 | 2011 | 40 | |
| 12 | 2010 | 15 | |
| 13 | 2009 | 24 | |
| 14 | 2009 | 25 | |
| 15 | 2008 | 88 |
About Bhargav Kanagal
Bhargav Kanagal is a scholar working on Management Science and Operations Research, Signal Processing and Artificial Intelligence, having authored 15 papers that have together received 564 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Database Systems and Queries (5 papers), Recommender Systems and Techniques (5 papers), Data Management and Algorithms (4 papers), Bayesian Modeling and Causal Inference (3 papers), Advanced Bandit Algorithms Research (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Signal Processing (147 citations), Information Systems (269 citations) and Artificial Intelligence (330 citations). Bhargav Kanagal has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Amol Deshpande, Amol Deshpande, Steffen Rendle, Xiangnan He, Vanja Josifovski, Sandeep Pandey, Amr Ahmed, Joshua Ainslie, Anirudh Ravula and Ruining He. Their work appears in journals such as Proceedings of the VLDB Endowment and Proceedings - International Conference on Data Engineering.
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.