Rahee Walambe

2.1k total citations
59 papers, 1.3k citations indexed

About

Rahee Walambe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Rahee Walambe has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Control and Systems Engineering. Recurrent topics in Rahee Walambe's work include Sensorless Control of Electric Motors (8 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Neural Network Applications (6 papers). Rahee Walambe is often cited by papers focused on Sensorless Control of Electric Motors (8 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Neural Network Applications (6 papers). Rahee Walambe collaborates with scholars based in India, United Kingdom and Canada. Rahee Walambe's co-authors include Ketan Kotecha, Vrunda Joshi, Sheela Ramanna, Gheorghiță Ghinea, Parag Narkhede, Snehasish Banerjee, Jyoti Choudrie, Sucheta Kulkarni, Ranjana Agrawal and Shashi Poddar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Power Electronics.

In The Last Decade

Rahee Walambe

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahee Walambe India 21 391 259 259 207 115 59 1.3k
Chrisina Jayne United Kingdom 18 647 1.7× 418 1.6× 128 0.5× 244 1.2× 191 1.7× 61 1.6k
Ahmad Almadhor Saudi Arabia 20 513 1.3× 193 0.7× 272 1.1× 106 0.5× 84 0.7× 158 1.5k
Paul Rad United States 22 480 1.2× 373 1.4× 210 0.8× 191 0.9× 57 0.5× 67 1.7k
Abhishek Verma India 19 677 1.7× 266 1.0× 200 0.8× 210 1.0× 73 0.6× 94 1.8k
Chaohui Yu China 10 746 1.9× 364 1.4× 110 0.4× 83 0.4× 75 0.7× 17 1.2k
Sunder Ali Khowaja Pakistan 23 422 1.1× 257 1.0× 303 1.2× 83 0.4× 74 0.6× 77 1.3k
Shadi Atalla United Arab Emirates 18 245 0.6× 155 0.6× 220 0.8× 83 0.4× 76 0.7× 114 1.1k
Ashit Kumar Dutta Saudi Arabia 15 302 0.8× 180 0.7× 166 0.6× 75 0.4× 109 0.9× 159 1.1k
Muhammad Rizwan Pakistan 24 620 1.6× 217 0.8× 320 1.2× 78 0.4× 136 1.2× 75 1.9k
Štěpán Hubálovský Czechia 16 490 1.3× 195 0.8× 308 1.2× 123 0.6× 35 0.3× 52 1.3k

Countries citing papers authored by Rahee Walambe

Since Specialization
Citations

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

Fields of papers citing papers by Rahee Walambe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahee Walambe

This figure shows the co-authorship network connecting the top 25 collaborators of Rahee Walambe. A scholar is included among the top collaborators of Rahee Walambe 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 Rahee Walambe. Rahee Walambe 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.
Agrawal, Ranjana, et al.. (2025). Classification of Stages 1,2,3 and Preplus, Plus disease of ROP using MultiCNN_LSTM classifier. MethodsX. 14. 103182–103182. 1 indexed citations
2.
Deshpande, Aditya, et al.. (2025). Multimodal machine learning for deception detection using behavioral and physiological data. Scientific Reports. 15(1). 8943–8943. 4 indexed citations
3.
Walambe, Rahee, et al.. (2025). Advances and applications in inverse reinforcement learning: a comprehensive review. Neural Computing and Applications. 37(17). 11071–11123.
4.
Jain, Deepak Kumar, et al.. (2025). Domain adaptation for bias mitigation in affective computing: use cases for facial emotion recognition and sentiment analysis systems. Discover Applied Sciences. 7(4). 2 indexed citations
5.
Walambe, Rahee, et al.. (2025). Framework for Digital Medical Scribe Technology for Healthcare Documentation. Engineered Science.
6.
7.
Agrawal, Ranjana, et al.. (2023). HVDROPDB datasets for research in retinopathy of prematurity. Data in Brief. 52. 109839–109839. 7 indexed citations
8.
Walambe, Rahee, et al.. (2023). A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine. SHILAP Revista de lepidopterología. 3. 100192–100192. 32 indexed citations
9.
Walambe, Rahee, et al.. (2023). Integrative gene expression analysis for the diagnosis of Parkinson’s disease using machine learning and explainable AI. Computers in Biology and Medicine. 163. 107140–107140. 25 indexed citations
10.
Walambe, Rahee, et al.. (2023). Domain Adaptation: Challenges, Methods, Datasets, and Applications. IEEE Access. 11. 6973–7020. 76 indexed citations
11.
Bhatt, Priya, et al.. (2023). Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics. 10(1). 18–18. 19 indexed citations
12.
Shukla, Pancham, et al.. (2022). How Well Do Self-Supervised Models Transfer to Medical Imaging?. Journal of Imaging. 8(12). 320–320. 8 indexed citations
13.
Agrawal, Ranjana, Sucheta Kulkarni, Rahee Walambe, Madan Deshpande, & Ketan Kotecha. (2022). Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity. Multimedia Tools and Applications. 81(8). 11441–11460. 20 indexed citations
14.
Walambe, Rahee, et al.. (2022). A comprehensive survey on computational learning methods for analysis of gene expression data. Frontiers in Molecular Biosciences. 9. 907150–907150. 17 indexed citations
15.
16.
Walambe, Rahee, et al.. (2021). Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions. Computational Intelligence and Neuroscience. 2021(1). 5278820–5278820. 31 indexed citations
17.
Walambe, Rahee, et al.. (2021). Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. Information Fusion. 81. 203–239. 137 indexed citations
18.
Agrawal, Ranjana, Sucheta Kulkarni, Rahee Walambe, & Ketan Kotecha. (2021). Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning. Journal of Digital Imaging. 34(4). 932–947. 28 indexed citations
19.
Choudrie, Jyoti, et al.. (2021). Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study. Computers in Human Behavior. 119. 106716–106716. 82 indexed citations
20.
Walambe, Rahee, et al.. (2021). Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. PeerJ Computer Science. 7. e365–e365. 27 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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