Rishabh Iyer
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Machine Learning and Algorithms
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
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- Complexity and Algorithms in Graphs
Papers in
-
- Machine Learning and Algorithms 9
- Natural Language Processing Techniques 8
- Speech Recognition and Synthesis 8
- Machine Learning and Data Classification 7
- Cryptography and Data Security 6
- Topic Modeling 6
- Domain Adaptation and Few-Shot Learning 5
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- Complexity and Algorithms in Graphs 11
- Co-authors
- Jeff Bilmes (18 shared papers)Mari Ostendorf (4 shared papers)Kai Wei (3 shared papers)Stefanie Jegelka (4 shared papers)Ganesh Ramakrishnan (11 shared papers)Sebastian Tschiatschek (1 shared paper)Pradeep Shenoy (1 shared paper)H. Gish (2 shared papers)
- Journals
- Computer Speech & Language (2 papers)IEEE Signal Processing Letters (1 paper)Sadhana (1 paper)IEEE Transactions on Information Theory (1 paper)Uncertainty in Artificial Intelligence (1 paper)
- Partner nations
- United StatesIndiaFinland
In The Last Decade
Rishabh Iyer
43 papers receiving 756 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 560
- Computational Theory and Mathematics 152
- Computer Vision and Pattern Recognition 188
- Signal Processing 85
- Software 23
Countries citing papers authored by Rishabh Iyer
This map shows the geographic impact of Rishabh Iyer'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 Rishabh Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishabh Iyer more than expected).
Fields of papers citing papers by Rishabh Iyer
This network shows the impact of papers produced by Rishabh Iyer. 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 Rishabh Iyer. The network helps show where Rishabh Iyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Rishabh Iyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Submodularity in Data Subset Selection and Active Learning | 2015 | 104 |
| 2 | 2013 | 101 | |
| 3 | Learning Mixtures of Submodular Functions for Image Collection Summarization | 2014 | 77 |
| 4 | 2022 | 71 | |
| 5 | 1997 | 50 | |
| 6 | 2002 | 50 | |
| 7 | 2013 | 42 | |
| 8 | 2021 | 42 | |
| 9 | Fast Multi-stage Submodular Maximization | 2014 | 27 |
| 10 | 2013 | 24 | |
| 11 | 1999 | 24 | |
| 12 | 1986 | 23 | |
| 13 | 2002 | 19 | |
| 14 | 2015 | 17 | |
| 15 | Submodular-Bregman and the Lovász-Bregman Divergences with Applications | 2012 | 11 |
| 16 | 2020 | 11 | |
| 17 | 1999 | 11 | |
| 18 | Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications | 2015 | 10 |
| 19 | 2015 | 10 | |
| 20 | Algorithms for optimizing the ratio of submodular functions | 2016 | 9 |
About Rishabh Iyer
Rishabh Iyer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 44 papers that have together received 814 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (11 papers), Machine Learning and Algorithms (9 papers), Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (8 papers), Machine Learning and Data Classification (7 papers), Cryptography and Data Security (6 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Artificial Intelligence (560 citations), Computational Theory and Mathematics (152 citations), Computer Vision and Pattern Recognition (188 citations), Signal Processing (85 citations) and Software (23 citations). Rishabh Iyer has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Jeff Bilmes, Mari Ostendorf, Kai Wei, Stefanie Jegelka, Ganesh Ramakrishnan, Sebastian Tschiatschek, Pradeep Shenoy, H. Gish, Kai Wei and Marie Meteer. Their work appears in journals such as Computer Speech & Language, IEEE Signal Processing Letters, Sadhana, IEEE Transactions on Information Theory and Uncertainty in Artificial Intelligence.
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.