Suhas Ranganath
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
-
- Expert finding and Q&A systems 5
- Recommender Systems and Techniques 3
-
- Topic Modeling 4
- Co-authors
- Jiliang Tang (7 shared papers)Suhang Wang (6 shared papers)Kai Shu (1 shared paper)Huan Liu (1 shared paper)Yilin Wang (1 shared paper)Huan Liu (7 shared papers)Xia Hu (7 shared papers)Pritam Gundecha (2 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Suhas Ranganath
19 papers receiving 297 citations
Peers
Comparison fields: 5 of 49
- Information Systems 189
- Transportation 37
- Computer Science Applications 23
- Artificial Intelligence 129
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Suhas Ranganath
This map shows the geographic impact of Suhas Ranganath'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 Suhas Ranganath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhas Ranganath more than expected).
Fields of papers citing papers by Suhas Ranganath
This network shows the impact of papers produced by Suhas Ranganath. 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 Suhas Ranganath. The network helps show where Suhas Ranganath may publish in the future.
Co-authors
The 25 scholars most cited alongside Suhas Ranganath, 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 | 2017 | 166 | |
| 2 | 2013 | 21 | |
| 3 | 2012 | 20 | |
| 4 | 2013 | 13 | |
| 5 | 2017 | 11 | |
| 6 | 2019 | 11 | |
| 7 | 2016 | 11 | |
| 8 | 2013 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2016 | 7 | |
| 11 | 2015 | 6 | |
| 12 | 2015 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2002 | 2 | |
| 18 | Interactive Signal Processing Education Applications for the Android Platform | 2019 | 1 |
| 19 | Facilitating Efficient Information Seeking in Social Media | 2017 | 1 |
About Suhas Ranganath
Suhas Ranganath is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Statistical and Nonlinear Physics and Media Technology, having authored 19 papers that have together received 305 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (6 papers), Expert finding and Q&A systems (5 papers), Experimental Learning in Engineering (4 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (3 papers), Innovative Teaching Methods (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Information Systems (189 citations), Transportation (37 citations), Computer Science Applications (23 citations), Artificial Intelligence (129 citations) and Computer Vision and Pattern Recognition (80 citations). Suhas Ranganath has collaborated with scholars based in United States and India. Frequent co-authors include Jiliang Tang, Suhang Wang, Kai Shu, Huan Liu, Yilin Wang, Huan Liu, Xia Hu, Pritam Gundecha, Mahesh K. Banavar and Andreas Spanias. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology, Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the International AAAI Conference on Web and Social Media.
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.