Rahul Pandey
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Computer Networks and Communications
- Co-authors
- Julian McAuleyJure LeskovecHemant PurohitCarlos CastilloValerie L. ShalinSubhas BarmanGaurav BahlMuhammad Imran
- Topics
- Sentiment Analysis and Opinion Mining (2 papers)Data Stream Mining Techniques (2 papers)Mobile Crowdsensing and Crowdsourcing (2 papers)
- Journals
- International Journal of Human-Computer StudiesSocial Network Analysis and MiningVikalpa The Journal for Decision Makers
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Rahul Pandey
10 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 319
- Information Systems 222
- Computer Vision and Pattern Recognition 79
- Sociology and Political Science 65
- Computer Networks and Communications 43
Countries citing papers authored by Rahul Pandey
This map shows the geographic impact of Rahul Pandey'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 Rahul Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Pandey more than expected).
Fields of papers citing papers by Rahul Pandey
This network shows the impact of papers produced by Rahul Pandey. 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 Rahul Pandey. The network helps show where Rahul Pandey may publish in the future.
Co-authorship network of co-authors of Rahul Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Pandey. A scholar is included among the top collaborators of Rahul Pandey 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 Rahul Pandey. Rahul Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | EMAssistant: A Learning Analytics System for Social and Web Data Filtering to Assist Trainees and Volunteers of Emergency Services. | 2 |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | Inferring Networks of Substitutable and Complementary Productsbreakdown → | 402 |
| 11 | 2 |
About Rahul Pandey
Rahul Pandey is a scholar working on Computer Science Applications, Communication and Applied Psychology, having authored 11 papers that have together received 465 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (2 papers), Data Stream Mining Techniques (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Computational Mathematics (7 citations), Artificial Intelligence (319 citations) and Information Systems (222 citations). Rahul Pandey has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Julian McAuley, Jure Leskovec, Hemant Purohit, Carlos Castillo, Valerie L. Shalin, Subhas Barman, Gaurav Bahl, Muhammad Imran, S. Manikutty and N. Ravichandran. Their work appears in journals such as International Journal of Human-Computer Studies, Social Network Analysis and Mining and Vikalpa The Journal for Decision Makers.
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.