Rahul Rajendran

448 total citations
23 papers, 288 citations indexed

About

Rahul Rajendran is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Rahul Rajendran has authored 23 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Signal Processing. Recurrent topics in Rahul Rajendran's work include Image Enhancement Techniques (5 papers), Advanced Image Fusion Techniques (4 papers) and Biometric Identification and Security (3 papers). Rahul Rajendran is often cited by papers focused on Image Enhancement Techniques (5 papers), Advanced Image Fusion Techniques (4 papers) and Biometric Identification and Security (3 papers). Rahul Rajendran collaborates with scholars based in United States and India. Rahul Rajendran's co-authors include Sos С. Agaian, Karen Panetta, Shishir Paramathma Rao, Aruna Ramesh, Holly A. Taylor, Xin Yuan, K. Ganapathi, Paul Rad, Michael A. Liss and M. Vivek and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Biomedical and Health Informatics and Mathematical and Computer Modelling.

In The Last Decade

Rahul Rajendran

17 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rahul Rajendran United States	7	164	83	66	56	44	23	288
Shishir Paramathma Rao United States	7	148 0.9×	82 1.0×	60 0.9×	56 1.0×	44 1.0×	16	277
Yuru Pei China	10	149 0.9×	116 1.4×	37 0.6×	51 0.9×	38 0.9×	41	317
Gamal Fahmy Egypt	10	161 1.0×	55 0.7×	19 0.3×	92 1.6×	18 0.4×	36	268
Sajib Saha Australia	12	161 1.0×	87 1.0×	434 6.6×	10 0.2×	44 1.0×	58	603
G. Fahmy Egypt	6	138 0.8×	144 1.7×	41 0.6×	53 0.9×	40 0.9×	23	269
Mingquan Zhou China	9	206 1.3×	62 0.7×	6 0.1×	24 0.4×	19 0.4×	29	295
Xianwei Jiang China	9	61 0.4×	14 0.2×	38 0.6×	7 0.1×	63 1.4×	21	282
J. Graham United Kingdom	4	116 0.7×	13 0.2×	22 0.3×	9 0.2×	17 0.4×	6	186
Jakeoung Koo South Korea	9	84 0.5×	4 0.0×	59 0.9×	16 0.3×	36 0.8×	22	252
Frank B. ter Haar Netherlands	9	201 1.2×	5 0.1×	14 0.2×	41 0.7×	14 0.3×	28	334

Countries citing papers authored by Rahul Rajendran

Since Specialization

Citations

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

Fields of papers citing papers by Rahul Rajendran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Rajendran

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

All Works

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20 of 20 papers shown

Rajendran, Rahul, et al.. (2025). A YOLOv10-based Intelligent Parking Management System with Automated License Plate Detection and Spot Reservation. 1432–1437.

Rajendran, Rahul, et al.. (2023). Automated Brain Tumor Classification and Detection Using Modified Convolutional Neural Networks for Early Diagnosis. 351–355.

Rajendran, Rahul, et al.. (2023). A Giant Epidermal Cyst in the Gluteal Region: A Case Report. Cureus. 15(1). e34266–e34266. 1 indexed citations

Rajendran, Rahul, et al.. (2023). Digital analysis of the prostate tumor microenvironment with high-order chromogenic multiplexing. Journal of Pathology Informatics. 15. 100352–100352.

Rajendran, Rahul, et al.. (2023). Spontaneous Intestinal Perforation in Neonates Involving the Cecum: A Case Report. Cureus. 15(4). e37322–e37322.

Rajendran, Rahul, et al.. (2023). Long-term changes in thickness, live/dead bacterial ratio, and mineral content in biofilm on ceramic and stainless steel orthodontic attachments. Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie. 84(S3). 251–258. 1 indexed citations

Rajendran, Rahul, et al.. (2022). KTNet: Towards automated 2D kidney and tumor segmentation. 1 indexed citations

Panetta, Karen, Rahul Rajendran, Aruna Ramesh, Shishir Paramathma Rao, & Sos С. Agaian. (2021). Tufts Dental Database: A Multimodal Panoramic X-Ray Dataset for Benchmarking Diagnostic Systems. IEEE Journal of Biomedical and Health Informatics. 26(4). 1650–1659. 96 indexed citations

Rajendran, Rahul, Thaweesak Trongtirakul, Karen Panetta, & Sos С. Agaian. (2019). A pixel-based color transfer system to recolor nighttime imagery. 6787. 28–28.

10.

Rajendran, Rahul, et al.. (2019). TERNet: A deep learning approach for thermal face emotion recognition. 10–10. 17 indexed citations

11.

Panetta, Karen, Sos С. Agaian, Rahul Rajendran, et al.. (2018). A Comprehensive Database for Benchmarking Imaging Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(3). 509–520. 114 indexed citations

12.

Rao, Shishir Paramathma, Rahul Rajendran, Karen Panetta, & Sos С. Agaian. (2017). Combined transform and spatial domain based “no reference” measure for underwater images. 1–7. 2 indexed citations

13.

Rajendran, Rahul, et al.. (2017). A human visual based binarization technique for histological images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10221. 102210Q–102210Q. 2 indexed citations

14.

Rajendran, Rahul, Shishir Paramathma Rao, Karen Panetta, & Sos С. Agaian. (2017). Adaptive Alpha-Trimmed Correlation based underwater image stitching. 1–7. 8 indexed citations

15.

Agaian, Sos С., et al.. (2016). A comparative study of image feature detection and matching algorithms for touchless fingerprint systems.. Electronic Imaging. 28(15). 1–9. 11 indexed citations

16.

Rao, Shishir Paramathma, et al.. (2016). Alpha trimmed correlation for touchless finger image mosaicing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9869. 98690U–98690U. 6 indexed citations

17.

Vivek, M., et al.. (2014). A Survey on Performance Analysis of Different Transforms in DWT for Image Compression. IOSR Journal of Electronics and Communication Engineering. 9(2). 1–5. 1 indexed citations

18.

Rajendran, Rahul, et al.. (2014). Performance and Analysis of Edge detection using FPGA Implementation. 2 indexed citations

19.

Ganapathi, K., et al.. (2013). Design and implementation of an automatic traffic sign recognition system on TI OMAP-L138. 10. 1104–1109. 7 indexed citations

20.

Rajendran, Rahul, et al.. (2003). Pattern search in a shoe sole image database using eigenpatterns. Mathematical and Computer Modelling. 37(12-13). 1281–1286.

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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