Pawan Lingras
Impact in
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic
- Transportation top 1%
- Transportation Planning and Optimization
Papers in
-
- Rough Sets and Fuzzy Logic 56
-
- Advanced Clustering Algorithms Research 15
- Neural Networks and Applications 11
- Fuzzy Logic and Control Systems 8
- Co-authors
- Satish C. Sharma (15 shared papers)Yiyu Yao (8 shared papers)Ming Zhong (8 shared papers)Cory J. Butz (12 shared papers)Georg Peters (2 shared papers)Duoqian Miao (2 shared papers)Fernando Crespo (1 shared paper)Richard W. Weber (1 shared paper)
In The Last Decade
Pawan Lingras
113 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 126
- Computational Theory and Mathematics 1.1k
- Transportation 437
- Building and Construction 593
- Signal Processing 445
- Information Systems 774
Countries citing papers authored by Pawan Lingras
This map shows the geographic impact of Pawan Lingras'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 Pawan Lingras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Lingras more than expected).
Fields of papers citing papers by Pawan Lingras
This network shows the impact of papers produced by Pawan Lingras. 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 Pawan Lingras. The network helps show where Pawan Lingras may publish in the future.
Co-authors
The 25 scholars most cited alongside Pawan Lingras, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 312 | |
| 2 | 2004 | 142 | |
| 3 | 2012 | 139 | |
| 4 | 2007 | 105 | |
| 5 | 1998 | 98 | |
| 6 | 1998 | 92 | |
| 7 | 2009 | 88 | |
| 8 | 2004 | 81 | |
| 9 | 2016 | 67 | |
| 10 | 1998 | 61 | |
| 11 | 2019 | 60 | |
| 12 | 2001 | 59 | |
| 13 | 2002 | 52 | |
| 14 | 2002 | 49 | |
| 15 | 2001 | 48 | |
| 16 | 2000 | 46 | |
| 17 | 2005 | 43 | |
| 18 | 1998 | 43 | |
| 19 | 1995 | 40 | |
| 20 | 1999 | 39 |
About Pawan Lingras
Pawan Lingras is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Signal Processing and Building and Construction, having authored 122 papers that have together received 2.5k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (56 papers), Data Mining Algorithms and Applications (43 papers), Traffic Prediction and Management Techniques (20 papers), Data Management and Algorithms (18 papers), Transportation Planning and Optimization (15 papers), Advanced Clustering Algorithms Research (15 papers), Neural Networks and Applications (11 papers) and Fuzzy Logic and Control Systems (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Transportation (437 citations), Building and Construction (593 citations), Signal Processing (445 citations) and Information Systems (774 citations). Pawan Lingras has collaborated with scholars based in Canada, India and China. Frequent co-authors include Satish C. Sharma, Yiyu Yao, Ming Zhong, Cory J. Butz, Georg Peters, Duoqian Miao, Fernando Crespo, Richard W. Weber, Miroslav Šnorek and Fei Xu. Their work appears in journals such as Information Sciences, International Journal of Approximate Reasoning, Transportation Planning and Technology, Journal of Transportation Engineering and International Journal of Computational Intelligence Systems.
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.