Padma Polash Paul

847 total citations
42 papers, 563 citations indexed

About

Padma Polash Paul is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Padma Polash Paul has authored 42 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 19 papers in Signal Processing and 17 papers in Information Systems. Recurrent topics in Padma Polash Paul's work include Biometric Identification and Security (18 papers), Face recognition and analysis (16 papers) and User Authentication and Security Systems (15 papers). Padma Polash Paul is often cited by papers focused on Biometric Identification and Security (18 papers), Face recognition and analysis (16 papers) and User Authentication and Security Systems (15 papers). Padma Polash Paul collaborates with scholars based in Canada, United Kingdom and United States. Padma Polash Paul's co-authors include Marina L. Gavrilova, Madeena Sultana, Faisal Ahmed, Reda Alhajj, Yingxu Wang, Stanislav Klimenko, Patrick S. P. Wang, Md. Rabiul Islam, Sorin Adam Matei and Guy Lamouche and has published in prestigious journals such as Journal of Thrombosis and Haemostasis, IEEE Transactions on Systems Man and Cybernetics Systems and Computers in Industry.

In The Last Decade

Padma Polash Paul

42 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Padma Polash Paul Canada 13 339 244 207 116 104 42 563
Fabio Narducci Italy 15 432 1.3× 212 0.9× 158 0.8× 79 0.7× 41 0.4× 48 690
Florian Kirchbuchner Germany 21 963 2.8× 648 2.7× 140 0.7× 229 2.0× 91 0.9× 61 1.3k
Abdul Serwadda United States 14 179 0.5× 443 1.8× 516 2.5× 84 0.7× 68 0.7× 43 745
Ben Zhang China 10 242 0.7× 114 0.5× 95 0.5× 81 0.7× 24 0.2× 27 543
Puneet Gupta India 16 237 0.7× 294 1.2× 85 0.4× 92 0.8× 239 2.3× 47 690
Antitza Dantcheva France 17 947 2.8× 460 1.9× 141 0.7× 139 1.2× 171 1.6× 51 1.2k
Rim Slama France 10 425 1.3× 109 0.4× 30 0.1× 121 1.0× 105 1.0× 24 625
Saiyed Umer India 15 480 1.4× 282 1.2× 134 0.6× 95 0.8× 33 0.3× 56 816
Chenhao Lin China 11 290 0.9× 280 1.1× 123 0.6× 216 1.9× 32 0.3× 48 650

Countries citing papers authored by Padma Polash Paul

Since Specialization
Citations

This map shows the geographic impact of Padma Polash Paul'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 Padma Polash Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padma Polash Paul more than expected).

Fields of papers citing papers by Padma Polash Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Padma Polash Paul. 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 Padma Polash Paul. The network helps show where Padma Polash Paul may publish in the future.

Co-authorship network of co-authors of Padma Polash Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Padma Polash Paul. A scholar is included among the top collaborators of Padma Polash Paul 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 Padma Polash Paul. Padma Polash Paul 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
1.
Lamouche, Guy, et al.. (2023). Engineering of Additive Manufacturing Features for Data-Driven Solutions. SpringerBriefs in applied sciences and technology. 5 indexed citations
2.
Agbani, Ejaife O., Lorraine Chow, Leslie Skeith, et al.. (2023). Overexpression of facilitative glucose transporter-3 and membrane procoagulation in maternal platelets of preeclamptic pregnancy. Journal of Thrombosis and Haemostasis. 21(7). 1903–1919. 5 indexed citations
3.
Paul, Padma Polash, et al.. (2023). Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing. Computers in Industry. 154. 104037–104037. 10 indexed citations
4.
Lamouche, Guy, et al.. (2023). Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams. IFAC-PapersOnLine. 56(2). 4733–4739. 3 indexed citations
5.
Sultana, Madeena, Padma Polash Paul, & Marina L. Gavrilova. (2016). Identifying Users from Online Interactions in Twitter.. 26. 111–124. 1 indexed citations
6.
Ahmed, Faisal, Padma Polash Paul, & Marina L. Gavrilova. (2016). Adaptive Pooling of the Most Relevant Spatio-Temporal Features for Action Recognition. 23. 177–180. 1 indexed citations
7.
Ahmed, Faisal, Padma Polash Paul, & Marina L. Gavrilova. (2015). Evolutionary fusion of local texture patterns for facial expression recognition. 9. 1031–1035. 4 indexed citations
8.
Sultana, Madeena, Padma Polash Paul, & Marina L. Gavrilova. (2015). A Novel Index-Based Rank Fusion Method for Occluded Ear Recognition. 23. 337–344. 3 indexed citations
9.
Ahmed, Faisal, Padma Polash Paul, & Marina L. Gavrilova. (2015). Kinect-based gait recognition using sequences of the most relevant joint relative angles. Digital Library (University of West Bohemia). 23. 147–156. 23 indexed citations
10.
Sultana, Madeena, Padma Polash Paul, & Marina L. Gavrilova. (2015). Social Behavioral Biometrics: An Emerging Trend. International Journal of Pattern Recognition and Artificial Intelligence. 29(8). 1556013–1556013. 29 indexed citations
11.
Danda, Sumita, et al.. (2014). Evidence of Germline Mosaicism for a Novel <b><i>BCOR</i></b> Mutation in Two Indian Sisters with Oculo-Facio-Cardio-Dental Syndrome. Molecular Syndromology. 5(5). 251–256. 14 indexed citations
12.
Sultana, Madeena, Padma Polash Paul, & Marina L. Gavrilova. (2014). A Concept of Social Behavioral Biometrics: Motivation, Current Developments, and Future Trends. 271–278. 31 indexed citations
13.
Sultana, Madeena, Padma Polash Paul, & Marina L. Gavrilova. (2014). Mining Social Behavioral Biometrics in Twitter. 3. 293–299. 5 indexed citations
14.
Paul, Padma Polash, Marina L. Gavrilova, & Reda Alhajj. (2014). Decision Fusion for Multimodal Biometrics Using Social Network Analysis. IEEE Transactions on Systems Man and Cybernetics Systems. 44(11). 1522–1533. 53 indexed citations
15.
Paul, Padma Polash & Marina L. Gavrilova. (2013). Cancelable fusion using social network analysis. 1469–1471. 2 indexed citations
16.
Paul, Padma Polash, et al.. (2013). Situation Awareness through Multimodal Biometric Template Security in Real-Time Environments. 82–88. 2 indexed citations
17.
Paul, Padma Polash & Marina L. Gavrilova. (2011). PCA Based Geometric Modeling for Automatic Face Detection. 33–38. 17 indexed citations
18.
Paul, Padma Polash, et al.. (2011). Face Detection Using Skin Color Recursive Clustering and Recognition Using Multilinear PCA. 27. 100–105. 6 indexed citations
19.
Paul, Padma Polash, et al.. (2010). ROTATION INVARIANT MULTIVIEW FACE DETECTION USING SKIN COLOR REGRESSIVE MODEL AND SUPPORT VECTOR REGRESSION. International Journal of Pattern Recognition and Artificial Intelligence. 24(8). 1261–1280. 16 indexed citations
20.
Paul, Padma Polash, et al.. (2006). A Real-Time Face Recognition Approach from Video Sequence using Skin Color Model and Eigenface Method. 2277. 2181–2185. 6 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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