Raghavendra Ramachandra

7.5k total citations
266 papers, 4.3k citations indexed

About

Raghavendra Ramachandra is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Raghavendra Ramachandra has authored 266 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 201 papers in Computer Vision and Pattern Recognition, 171 papers in Signal Processing and 47 papers in Information Systems. Recurrent topics in Raghavendra Ramachandra's work include Biometric Identification and Security (164 papers), Face recognition and analysis (127 papers) and Face and Expression Recognition (58 papers). Raghavendra Ramachandra is often cited by papers focused on Biometric Identification and Security (164 papers), Face recognition and analysis (127 papers) and Face and Expression Recognition (58 papers). Raghavendra Ramachandra collaborates with scholars based in Norway, India and Germany. Raghavendra Ramachandra's co-authors include Christoph Busch, Kiran Raja, Sushma Venkatesh, Kiran B. Raja, G. Hemantha Kumar, Bian Yang, Ashok Rao, Vittorio Murino, Alessio Del Bue and Marco Cristani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Raghavendra Ramachandra

243 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raghavendra Ramachandra Norway 34 3.1k 2.6k 850 514 326 266 4.3k
Mayank Vatsa India 47 4.8k 1.6× 3.9k 1.5× 1.2k 1.4× 981 1.9× 403 1.2× 307 6.8k
Raymond Veldhuis Netherlands 30 1.7k 0.6× 2.0k 0.8× 742 0.9× 589 1.1× 82 0.3× 241 3.1k
Hugo Proença Portugal 25 1.4k 0.5× 1.6k 0.6× 667 0.8× 241 0.5× 75 0.2× 118 2.4k
Fernando Alonso‐Fernandez Sweden 27 1.3k 0.4× 1.3k 0.5× 489 0.6× 198 0.4× 144 0.4× 92 2.1k
Ajay Kumar Hong Kong 48 4.8k 1.5× 5.6k 2.1× 2.0k 2.4× 329 0.6× 735 2.3× 170 7.6k
Javier Galbally Spain 30 2.0k 0.7× 2.3k 0.9× 1.3k 1.5× 365 0.7× 131 0.4× 72 3.1k
Jianjiang Feng China 38 2.7k 0.9× 2.4k 0.9× 563 0.7× 370 0.7× 195 0.6× 129 4.0k
Afzel Noore United States 27 1.4k 0.5× 1.3k 0.5× 690 0.8× 190 0.4× 218 0.7× 107 2.3k
Richard P. Wildes Canada 24 2.6k 0.8× 1.9k 0.7× 890 1.0× 501 1.0× 170 0.5× 70 3.8k
Jean‐Luc Dugelay France 29 3.6k 1.2× 1.2k 0.5× 358 0.4× 573 1.1× 245 0.8× 226 4.1k

Countries citing papers authored by Raghavendra Ramachandra

Since Specialization
Citations

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

Fields of papers citing papers by Raghavendra Ramachandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghavendra Ramachandra

This figure shows the co-authorship network connecting the top 25 collaborators of Raghavendra Ramachandra. A scholar is included among the top collaborators of Raghavendra Ramachandra 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 Raghavendra Ramachandra. Raghavendra Ramachandra 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.
Ramachandra, Raghavendra, et al.. (2025). SynMorph: Generating Synthetic Face Morphing Dataset With Mated Samples. IEEE Access. 13. 44366–44384. 1 indexed citations
2.
Sharma, Geetanjali, Gaurav Jaswal, Aditya Nigam, & Raghavendra Ramachandra. (2025). FISNET: A Learnable Fusion-Based Iris Segmentation Network Improving Robustness Across NIR and VIS Modalities. IEEE Access. 13. 101472–101490.
3.
Ramachandra, Raghavendra, et al.. (2025). ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD With Multi-Modal Large Language Models and General Vision Models. IEEE Transactions on Biometrics Behavior and Identity Science. 8(2). 154–168. 1 indexed citations
4.
Akhtar, Zahid, et al.. (2025). WaveletFusion: enhancing plant leaf disease classification with multi-scale feature extraction and explainable AI. Expert Systems with Applications. 285. 127947–127947.
5.
Veldhuis, Raymond, Luuk Spreeuwers, Christoph Busch, et al.. (2024). A Comparative Study of Cross‐Device Finger Vein Recognition Using Classical and Deep Learning Approaches. IET Biometrics. 2024(1). 2 indexed citations
6.
Ramachandra, Raghavendra, et al.. (2024). 3D Face Morphing Attack Generation using Non-Rigid Registration. 1–5. 1 indexed citations
7.
8.
Chatterjee, Ayan, Michael A. Riegler, Miriam S. Johnson, et al.. (2024). Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology. Scientific Reports. 14(1). 24190–24190.
9.
Raja, Kiran, Renfang Wang, Hong Qiu, et al.. (2024). A Latent Fingerprint in the Wild Database. IEEE Transactions on Information Forensics and Security. 19. 3703–3718. 2 indexed citations
10.
Zhang, Wentian, Haozhe Liu, Feng Liu, & Raghavendra Ramachandra. (2023). A uniform representation model for OCT-based fingerprint presentation attack detection and reconstruction. Pattern Recognition. 145. 109981–109981. 7 indexed citations
11.
Liu, Haozhe, Jinheng Xie, Yawen Huang, et al.. (2023). Anomaly detection via gating highway connection for retinal fundus images. Pattern Recognition. 148. 110167–110167. 7 indexed citations
12.
Alonso‐Fernandez, Fernando, Kiran Raja, Raghavendra Ramachandra, et al.. (2022). Cross-sensor periocular biometrics in a global pandemic: Comparative benchmark and novel multialgorithmic approach. Information Fusion. 83-84. 110–130. 16 indexed citations
13.
Auksorius, Egidijus, et al.. (2020). Compact and Mobile Full-Field Optical Coherence Tomography Sensor for Subsurface Fingerprint Imaging. IEEE Access. 8. 15194–15204. 7 indexed citations
14.
Ramachandra, Raghavendra, et al.. (2020). Threat of Adversarial Attacks on Face Recognition: A Comprehensive Survey.. arXiv (Cornell University). 5 indexed citations
15.
Ramachandra, Raghavendra, Kiran Raja, Sushma Venkatesh, & Christoph Busch. (2017). Transferable Deep-CNN Features for Detecting Digital and Print-Scanned Morphed Face Images. 1822–1830. 130 indexed citations
16.
Ramachandra, Raghavendra, Kiran B. Raja, & Christoph Busch. (2016). On comparison score fusion of deep autoencoders and relaxed collaborative representation for smartphone based accurate periocular verification. International Conference on Information Fusion. 2221–2228. 2 indexed citations
17.
Ramachandra, Raghavendra & Christoph Busch. (2015). Face image resolution enhancement based on weighted fusion of wavelet decomposition. International Conference on Information Fusion. 2108–2114. 3 indexed citations
18.
Raja, Kiran, et al.. (2015). Fusion of face and periocular information for improved authentication on smartphones. International Conference on Information Fusion. 2115–2120. 9 indexed citations
19.
Ramachandra, Raghavendra & Christoph Busch. (2014). Robust 2D/3D face mask presentation attack detection scheme by exploring multiple features and comparison score level fusion. International Conference on Information Fusion. 1–7. 8 indexed citations
20.
Ramachandra, Raghavendra, et al.. (2009). Bressoud's generalization of schur's theorem extension to overpartitions. MyPrints@UOM (Mysore University Library). 2 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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