Praveen Chandar
- Information Systems top 5%
- Information Retrieval and Search Behavior 17
- Web Data Mining and Analysis 7
- Recommender Systems and Techniques 6
- Artificial Intelligence top 5%
- Topic Modeling 8
- Semantic Web and Ontologies 4
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing 5
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- Caching and Content Delivery 3
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- Statistical Methods in Clinical Trials 3
- Co-authors
- Ben CarteretteSamantha HansenJames O. McInerneyYasaman KhazaeniPhilipp GeyerQ. Vera LiaoMarco CrassoDakuo Wang
- Journals
- Information Systems Research (1 paper)Journal of Biomedical Informatics (1 paper)Text REtrieval Conference (3 papers)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Praveen Chandar
32 papers receiving 413 citations
Peers
Comparison fields: 5 of 61
- Information Systems 257
- Artificial Intelligence 239
- Computer Science Applications 39
- Management Science and Operations Research 79
- Signal Processing 43
Countries citing papers authored by Praveen Chandar
This map shows the geographic impact of Praveen Chandar'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 Praveen Chandar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praveen Chandar more than expected).
Fields of papers citing papers by Praveen Chandar
This network shows the impact of papers produced by Praveen Chandar. 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 Praveen Chandar. The network helps show where Praveen Chandar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Praveen Chandar, 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 | 2023 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 4 | |
| 5 | Stochastic Variational Inference for Dynamic Correlated Topic Models. | 2020 | 3 |
| 6 | 2019 | 6 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 70 | |
| 9 | 2018 | 11 | |
| 10 | Similarity-Based Recommendation of New Concepts to a Terminology. | 2017 | 7 |
| 11 | 2015 | 8 | |
| 12 | Simulation-based Evaluation of the Generalizability Index for Study Traits. | 2015 | 8 |
| 13 | Udel @ NTCIR-11 IMine Track. | 2014 | 1 |
| 14 | 2013 | 23 | |
| 15 | 2012 | 2 | |
| 16 | 2012 | 12 | |
| 17 | Implicit Feedback and Document Filtering for Retrieval Over Query Sessions. | 2011 | 1 |
| 18 | 2010 | 4 | |
| 19 | Minimal Test Collections for Relevance Feedback | 2009 | 1 |
| 20 | Ad Hoc and Diversity Retrieval at the University of Delaware. | 2009 | 2 |
About Praveen Chandar
Praveen Chandar is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Management Science and Operations Research and Statistics and Probability, having authored 33 papers that have together received 435 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (17 papers), Topic Modeling (8 papers), Web Data Mining and Analysis (7 papers), Recommender Systems and Techniques (6 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Semantic Web and Ontologies (4 papers), Caching and Content Delivery (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Information Systems (257 citations), Artificial Intelligence (239 citations), Computer Science Applications (39 citations), Management Science and Operations Research (79 citations) and Signal Processing (43 citations). Praveen Chandar has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Ben Carterette, Samantha Hansen, James O. McInerney, Yasaman Khazaeni, Philipp Geyer, Q. Vera Liao, Marco Crasso, Dakuo Wang, Muhammad Hussain and Michael Müller. Their work appears in journals such as Information Systems Research, Journal of Biomedical Informatics, Text REtrieval Conference, Proceedings of the 31st ACM International Conference on Information & Knowledge Management and PubMed.
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.