Adit Krishnan
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
- Expert finding and Q&A systems
-
- Complex Network Analysis Techniques
Papers in
-
- Recommender Systems and Techniques 5
- Information Retrieval and Search Behavior 2
- Expert finding and Q&A systems 1
- Data Mining Algorithms and Applications 1
-
- Advanced Graph Neural Networks 4
- Co-authors
- Hari Sundaram (9 shared papers)Aravind Sankar (6 shared papers)Jiawei Han (1 shared paper)Xinyang Zhang (1 shared paper)Ashish Sharma (1 shared paper)Mahashweta Das (2 shared papers)Hao Yang (1 shared paper)Sayan Ranu (2 shared papers)
- Journals
- World Wide Web (1 paper)Knowledge and Information Systems (1 paper)Lecture notes in computer science (3 papers)International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (2 papers)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Adit Krishnan
15 papers receiving 289 citations
Peers
Comparison fields: 5 of 16
- Information Systems 186
- Statistical and Nonlinear Physics 62
- Artificial Intelligence 49
- Computer Vision and Pattern Recognition 11
- Health Informatics 1
Countries citing papers authored by Adit Krishnan
This map shows the geographic impact of Adit Krishnan'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 Adit Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adit Krishnan more than expected).
Fields of papers citing papers by Adit Krishnan
This network shows the impact of papers produced by Adit Krishnan. 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 Adit Krishnan. The network helps show where Adit Krishnan may publish in the future.
Co-authors
The 21 scholars most cited alongside Adit Krishnan, 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 | 2020 | 72 | |
| 2 | 2018 | 61 | |
| 3 | 2020 | 55 | |
| 4 | 2019 | 31 | |
| 5 | 2017 | 21 | |
| 6 | 2021 | 15 | |
| 7 | 2016 | 8 | |
| 8 | 2018 | 8 | |
| 9 | 2019 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 |
About Adit Krishnan
Adit Krishnan is a scholar working on Information Systems, Artificial Intelligence, Marketing, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 15 papers that have together received 290 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (4 papers), Customer churn and segmentation (2 papers), Information Retrieval and Search Behavior (2 papers), Complex Network Analysis Techniques (2 papers), Expert finding and Q&A systems (1 paper), Data Mining Algorithms and Applications (1 paper) and Digital Marketing and Social Media (1 paper). The work is most often cited by research in Information Systems (186 citations), Statistical and Nonlinear Physics (62 citations), Artificial Intelligence (49 citations), Computer Vision and Pattern Recognition (11 citations) and Health Informatics (1 citation). Adit Krishnan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Hari Sundaram, Aravind Sankar, Jiawei Han, Xinyang Zhang, Ashish Sharma, Mahashweta Das, Hao Yang, Sayan Ranu, Sameep Mehta and P Deepak. Their work appears in journals such as World Wide Web, Knowledge and Information Systems, Lecture notes in computer science, International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) and arXiv (Cornell University).
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.