Praveen Paritosh
- Artificial Intelligence top 0.2%
- Management Science and Operations Research top 1%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Computer Science Applications top 1%
- Co-authors
- Jamie TaylorKurt BollackerColin EvansLora AroyoShivani KapaniaNithya SambasivanPeng DaiEd H.
- Topics
- Mobile Crowdsensing and Crowdsourcing (14 papers)Topic Modeling (9 papers)Data Stream Mining Techniques (5 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Science Applications
- Journals
- Engineering Applications of Artificial IntelligenceAI MagazineACM Transactions on Intelligent Systems and Technology
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Praveen Paritosh
32 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 2.9k
- Management Science and Operations Research 641
- Information Systems 605
- Computer Vision and Pattern Recognition 417
- Computer Science Applications 276
Countries citing papers authored by Praveen Paritosh
This map shows the geographic impact of Praveen Paritosh'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 Paritosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praveen Paritosh more than expected).
Fields of papers citing papers by Praveen Paritosh
This network shows the impact of papers produced by Praveen Paritosh. 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 Paritosh. The network helps show where Praveen Paritosh may publish in the future.
Co-authorship network of co-authors of Praveen Paritosh
This figure shows the co-authorship network connecting the top 25 collaborators of Praveen Paritosh. A scholar is included among the top collaborators of Praveen Paritosh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Praveen Paritosh. Praveen Paritosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AIbreakdown → | 375 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Characterizing Online Communities Using Coarse Discourse Structures. | 1 |
| 7 | 52 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 47 | |
| 13 | 5 | |
| 14 | 53 | |
| 15 | 52 | |
| 16 | Freebasebreakdown → | 2763 |
| 17 | Cognitive Processes in Quantitative Estimation: Analogical Anchors and Causal Adjustment | 3 |
| 18 | Qualitative Modeling and Similarity in Back of the Envelope Reasoning | 4 |
| 19 | A Sketch of a Theory of Quantity | 2 |
| 20 | Common Sense on the Envelope | 1 |
About Praveen Paritosh
Praveen Paritosh is a scholar working on Computer Science Applications, Artificial Intelligence and General Decision Sciences, having authored 32 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (14 papers), Topic Modeling (9 papers) and Data Stream Mining Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Management Science and Operations Research (641 citations) and Computer Science Applications (276 citations). Praveen Paritosh has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Jamie Taylor, Kurt Bollacker, Colin Evans, Lora Aroyo, Shivani Kapania, Nithya Sambasivan, Peng Dai, Ed H., Jeffrey M. Rzeszotarski and Stefano Mazzocchi. Their work appears in journals such as Engineering Applications of Artificial Intelligence, AI Magazine and ACM Transactions on Intelligent Systems and Technology.
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.