Pradeep Kumar

2.8k total citations
65 papers, 2.0k citations indexed

About

Pradeep Kumar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Pradeep Kumar has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 24 papers in Human-Computer Interaction and 23 papers in Cognitive Neuroscience. Recurrent topics in Pradeep Kumar's work include EEG and Brain-Computer Interfaces (20 papers), Hand Gesture Recognition Systems (17 papers) and Handwritten Text Recognition Techniques (12 papers). Pradeep Kumar is often cited by papers focused on EEG and Brain-Computer Interfaces (20 papers), Hand Gesture Recognition Systems (17 papers) and Handwritten Text Recognition Techniques (12 papers). Pradeep Kumar collaborates with scholars based in India, Canada and United States. Pradeep Kumar's co-authors include Partha Pratim Roy, Debi Prosad Dogra, Rajkumar Saini, Balasubramanian Raman, Christopher J. Schenk, Anshul Mittal, B.B. Chaudhuri, Erik Scheme, Ravi Saini and Priyanka Singh and has published in prestigious journals such as Environmental Science & Technology, Sensors and Information Sciences.

In The Last Decade

Pradeep Kumar

60 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Kumar India 26 854 621 610 370 359 65 2.0k
Suranga Nanayakkara Singapore 24 939 1.1× 423 0.7× 935 1.5× 171 0.5× 92 0.3× 168 1.9k
Hongan Wang China 25 687 0.8× 837 1.3× 469 0.8× 112 0.3× 107 0.3× 203 2.4k
Eduardo Velloso Australia 26 1.6k 1.8× 757 1.2× 842 1.4× 126 0.3× 136 0.4× 119 2.5k
Erin Solovey United States 21 1.0k 1.2× 488 0.8× 743 1.2× 209 0.6× 152 0.4× 63 2.0k
Rajeev Sharma United States 19 1.4k 1.7× 1.2k 2.0× 319 0.5× 254 0.7× 190 0.5× 76 2.4k
Rajkumar Saini India 20 337 0.4× 388 0.6× 372 0.6× 155 0.4× 84 0.2× 66 1.2k
Mike Fraser United Kingdom 25 1.4k 1.6× 653 1.1× 473 0.8× 241 0.7× 111 0.3× 100 2.3k
Rainer Malaka Germany 25 579 0.7× 407 0.7× 224 0.4× 121 0.3× 233 0.6× 171 1.7k
Chun Yu China 26 1.3k 1.5× 451 0.7× 967 1.6× 102 0.3× 43 0.1× 151 2.0k
Masanori Sugimoto Japan 19 521 0.6× 377 0.6× 239 0.4× 60 0.2× 172 0.5× 166 1.5k

Countries citing papers authored by Pradeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar. 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 Pradeep Kumar. The network helps show where Pradeep Kumar may publish in the future.

Co-authorship network of co-authors of Pradeep Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Kumar. A scholar is included among the top collaborators of Pradeep Kumar 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 Pradeep Kumar. Pradeep Kumar 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.
Sathyan, Sanish, et al.. (2024). Validation of a Malayalam Version of the Apathy Evaluation Scale. Indian Journal of Psychological Medicine. 1620576077–1620576077.
2.
Saini, Ravi & Pradeep Kumar. (2023). Green synthesis of TiO2 nanoparticles using Tinospora cordifolia plant extract & its potential application for photocatalysis and antibacterial activity. Inorganic Chemistry Communications. 156. 111221–111221. 53 indexed citations
3.
Kumar, Pradeep & Erik Scheme. (2021). A Deep Spatio-Temporal Model for EEG-Based Imagined Speech Recognition. 995–999. 13 indexed citations
4.
Kumar, Pradeep, et al.. (2021). A Robust Biometric Authentication System for Handheld Electronic Devices by Intelligently Combining 3D Finger Motions and Cerebral Responses. IEEE Transactions on Consumer Electronics. 67(1). 58–67. 19 indexed citations
5.
Kumar, Pradeep, et al.. (2021). A Survey on Neuromarketing Using EEG Signals. IEEE Transactions on Cognitive and Developmental Systems. 13(4). 732–749. 45 indexed citations
6.
Chakladar, Debashis Das, Pradeep Kumar, Partha Pratim Roy, et al.. (2021). A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG. Information Fusion. 71. 17–27. 39 indexed citations
7.
Mittal, Anshul, Pradeep Kumar, Partha Pratim Roy, Balasubramanian Raman, & B.B. Chaudhuri. (2019). A Modified LSTM Model for Continuous Sign Language Recognition Using Leap Motion. IEEE Sensors Journal. 19(16). 7056–7063. 162 indexed citations
8.
Kumar, Pradeep, et al.. (2019). A spatio-temporal model for EEG-based person identification. Multimedia Tools and Applications. 78(19). 28157–28177. 37 indexed citations
9.
Kumar, Pradeep, et al.. (2018). Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm. IEEE Transactions on Fuzzy Systems. 27(5). 956–965. 67 indexed citations
10.
Saini, Rajkumar, Pradeep Kumar, Partha Pratim Roy, & Debi Prosad Dogra. (2018). A novel framework of continuous human-activity recognition using Kinect. Neurocomputing. 311. 99–111. 46 indexed citations
11.
Kumar, Pradeep, et al.. (2017). A multimodal framework for sensor based sign language recognition. Neurocomputing. 259. 21–38. 147 indexed citations
12.
Kumar, Pradeep, et al.. (2017). Real-time recognition of sign language gestures and air-writing using leap motion. 157–160. 52 indexed citations
13.
Kumar, Pradeep, et al.. (2017). Prediction of advertisement preference by fusing EEG response and sentiment analysis. Neural Networks. 92. 77–88. 82 indexed citations
14.
Kumar, Pradeep, Rajkumar Saini, Partha Pratim Roy, & Debi Prosad Dogra. (2016). 3D text segmentation and recognition using leap motion. Multimedia Tools and Applications. 76(15). 16491–16510. 28 indexed citations
15.
Kumar, Pradeep, et al.. (2016). Coupled HMM-based multi-sensor data fusion for sign language recognition. Pattern Recognition Letters. 86. 1–8. 161 indexed citations
16.
Kumar, Pradeep, et al.. (2015). Analysis of moving object detection and tracking in video surveillance system. International Conference on Computing for Sustainable Global Development. 1758–1762. 9 indexed citations
17.
Gosal, Satbir Singh, et al.. (2009). Impact of cefotaxime on somatic embryogenesis and shoot regeneration in sugarcane. Physiology and Molecular Biology of Plants. 15(3). 257–265. 19 indexed citations
18.
Kumar, Pradeep. (2001). Reservations within Reservations. Economic and political weekly.
19.
Subrahmanyam, N. C., Pradeep Kumar, & D. G. Faris. (1988). Tissue Culture Approaches to Pigeonpea Improvement. Environmental Science & Technology. 49(3). 1303–10. 2 indexed citations
20.
Kumar, Pradeep, N. C. Subrahmanyam, & D. G. Faris. (1984). Nucleolar variation in a pigeon pea intergeneric hybrid: evidence for allosyndetic recombination. Canadian Journal of Genetics and Cytology. 26(5). 499–505. 1 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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