Pawan Lingras

4.2k total citations
121 papers, 2.5k citations indexed

About

Pawan Lingras is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Pawan Lingras has authored 121 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computational Theory and Mathematics, 52 papers in Artificial Intelligence and 48 papers in Information Systems. Recurrent topics in Pawan Lingras's work include Rough Sets and Fuzzy Logic (56 papers), Data Mining Algorithms and Applications (43 papers) and Traffic Prediction and Management Techniques (20 papers). Pawan Lingras is often cited by papers focused on Rough Sets and Fuzzy Logic (56 papers), Data Mining Algorithms and Applications (43 papers) and Traffic Prediction and Management Techniques (20 papers). Pawan Lingras collaborates with scholars based in Canada, India and China. Pawan Lingras's co-authors include Satish C. Sharma, Yiyu Yao, Ming Zhong, Cory J. Butz, Georg Peters, Duoqian Miao, Richard W. Weber, Fernando Crespo, Fei Xu and Miroslav Šnorek and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Pawan Lingras

112 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pawan Lingras Canada 28 1.1k 975 771 587 443 121 2.5k
Youcef Djenouri Norway 34 510 0.5× 1.8k 1.8× 1.2k 1.6× 384 0.7× 532 1.2× 142 3.4k
Xin Yang China 25 934 0.8× 1.1k 1.1× 512 0.7× 232 0.4× 281 0.6× 88 2.8k
El‐Ghazali Talbi France 30 1.0k 0.9× 1.4k 1.4× 570 0.7× 252 0.4× 69 0.2× 101 3.9k
Zhiqiu Huang China 23 203 0.2× 749 0.8× 999 1.3× 293 0.5× 210 0.5× 241 2.1k
Beatrice Lazzerini Italy 28 243 0.2× 1.4k 1.4× 236 0.3× 214 0.4× 137 0.3× 183 3.0k
Lamjed Ben Saïd Tunisia 23 882 0.8× 1.0k 1.1× 206 0.3× 155 0.3× 94 0.2× 176 2.3k
William Zhu China 33 3.7k 3.3× 2.2k 2.3× 1.6k 2.1× 130 0.2× 585 1.3× 176 5.4k
John F. Roddick Australia 24 395 0.4× 1.3k 1.3× 1.2k 1.5× 146 0.2× 1.1k 2.6× 118 3.1k
Eneko Osaba Spain 23 551 0.5× 1.3k 1.3× 183 0.2× 286 0.5× 60 0.1× 108 2.5k
Tianlong Gu China 24 733 0.7× 1.3k 1.3× 645 0.8× 99 0.2× 74 0.2× 62 2.5k

Countries citing papers authored by Pawan Lingras

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pawan Lingras

This figure shows the co-authorship network connecting the top 25 collaborators of Pawan Lingras. A scholar is included among the top collaborators of Pawan Lingras 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 Pawan Lingras. Pawan Lingras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Savage, David W., et al.. (2023). A Survey on Technologies Used During out of Hospital Cardiac Arrest. 477–488. 1 indexed citations
3.
Mago, Vijay, et al.. (2022). AEDNav: indoor navigation for locating automated external defibrillator. BMC Medical Informatics and Decision Making. 22(S2). 159–159. 3 indexed citations
4.
Choudhury, Salimur, et al.. (2020). SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest. BMC Medical Informatics and Decision Making. 20(S11). 313–313. 4 indexed citations
5.
Yu, Hong, Yun Chen, Pawan Lingras, & Guoyin Wang. (2019). A three-way cluster ensemble approach for large-scale data. International Journal of Approximate Reasoning. 115. 32–49. 59 indexed citations
6.
Lingras, Pawan, et al.. (2013). Rough Sets and Knowledge Technology: 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations
7.
Peters, Georg, Fernando Crespo, Pawan Lingras, & Richard W. Weber. (2012). Soft clustering – Fuzzy and rough approaches and their extensions and derivatives. International Journal of Approximate Reasoning. 54(2). 307–322. 138 indexed citations
8.
Lingras, Pawan & Cory J. Butz. (2011). Conservative and aggressive rough SVR modeling. Theoretical Computer Science. 412(42). 5885–5901. 6 indexed citations
9.
Butz, Cory J., et al.. (2010). Join tree propagation utilizing both arc reversal and variable elimination. International Journal of Approximate Reasoning. 52(7). 948–959.
10.
Butz, Cory J., et al.. (2009). A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. The Florida AI Research Society. 3 indexed citations
11.
Joshi, Manish, Virendrakumar C. Bhavsar, & Pawan Lingras. (2009). An Algorithm for the Estimation of a Time Period of 2-Sequences.. Indian International Conference on Artificial Intelligence. 71–88. 1 indexed citations
12.
Lingras, Pawan, et al.. (2004). Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets. Saint Mary's University Institutional Repository (Saint Mary's University). 2(3). 217–225. 38 indexed citations
13.
Lingras, Pawan & Rui Yan. (2004). Interval clustering using fuzzy and rough set theory. 780–784 Vol.2. 8 indexed citations
14.
Lingras, Pawan, et al.. (2003). Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches.. Indian International Conference on Artificial Intelligence. 1074–1087. 7 indexed citations
15.
Lingras, Pawan, et al.. (2003). Clustering of Web Users: K-Means vs. Fuzzy C-Means.. Indian International Conference on Artificial Intelligence. 1062–1073. 2 indexed citations
16.
Wong, S. K. M., Pawan Lingras, & Yiyu Yao. (1991). Propagation of preference relations in qualitative inference networks. International Joint Conference on Artificial Intelligence. 1204–1209. 2 indexed citations
17.
Yao, Yiyu, S. K. M. Wong, & Pawan Lingras. (1991). A decision-theoretic roguth set model. Elsevier eBooks. 17–24. 3 indexed citations
18.
Lingras, Pawan, et al.. (1988). An Optimistic Rule for Accumulation of Evidence.. 60–69. 1 indexed citations
19.
Sharma, Satish C., et al.. (1987). HIGHWAY ECONOMIC ANALYSIS EXPERIENCES WITH THE 1985 HIGHWAY CAPACITY MANUAL. Transportation Research Record Journal of the Transportation Research Board. 1 indexed citations
20.
Sharma, Satish C., et al.. (1986). ROAD CLASSIFICATION ACCORDING TO DRIVER POPULATION. Transportation Research Record Journal of the Transportation Research Board. 26 indexed citations

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.

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