Maheshkumar H. Kolekar

2.8k total citations
99 papers, 1.7k citations indexed

About

Maheshkumar H. Kolekar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Maheshkumar H. Kolekar has authored 99 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 26 papers in Signal Processing and 19 papers in Cognitive Neuroscience. Recurrent topics in Maheshkumar H. Kolekar's work include EEG and Brain-Computer Interfaces (19 papers), ECG Monitoring and Analysis (18 papers) and Video Analysis and Summarization (15 papers). Maheshkumar H. Kolekar is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), ECG Monitoring and Analysis (18 papers) and Video Analysis and Summarization (15 papers). Maheshkumar H. Kolekar collaborates with scholars based in India, United States and Portugal. Maheshkumar H. Kolekar's co-authors include Chandan Kumar Jha, Somnath Sengupta, Deba Prasad Dash, Kamlesh Jha, Deepanway Ghosal, Kannappan Palaniappan, Yogesh Kumar, Abhishek Kumar, Somnath Sarangi and Adel Hafiane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Maheshkumar H. Kolekar

91 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maheshkumar H. Kolekar India 26 652 424 408 359 291 99 1.7k
Celia Shahnaz Bangladesh 20 440 0.7× 431 1.0× 367 0.9× 429 1.2× 226 0.8× 153 1.8k
Rajeev Sharma India 18 386 0.6× 587 1.4× 893 2.2× 360 1.0× 197 0.7× 67 1.7k
Anurag Singh India 21 450 0.7× 417 1.0× 128 0.3× 163 0.5× 493 1.7× 120 2.2k
Enas Abdulhay Jordan 22 292 0.4× 242 0.6× 772 1.9× 284 0.8× 316 1.1× 49 2.1k
Ali Hassan Pakistan 19 268 0.4× 314 0.7× 313 0.8× 123 0.3× 279 1.0× 91 1.1k
Mohiuddin Ahmad Bangladesh 21 513 0.8× 201 0.5× 760 1.9× 351 1.0× 334 1.1× 169 1.9k
Giovanna Sannino Italy 19 319 0.5× 267 0.6× 296 0.7× 454 1.3× 573 2.0× 77 1.7k
Tharindu Fernando Australia 17 328 0.5× 222 0.5× 358 0.9× 127 0.4× 348 1.2× 45 1.2k
Javad Haddadnia Iran 21 601 0.9× 191 0.5× 263 0.6× 75 0.2× 308 1.1× 126 1.4k
Syed Umar Amin Saudi Arabia 24 336 0.5× 360 0.8× 1.2k 3.0× 191 0.5× 585 2.0× 47 2.8k

Countries citing papers authored by Maheshkumar H. Kolekar

Since Specialization
Citations

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

Fields of papers citing papers by Maheshkumar H. Kolekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maheshkumar H. Kolekar. 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 Maheshkumar H. Kolekar. The network helps show where Maheshkumar H. Kolekar may publish in the future.

Co-authorship network of co-authors of Maheshkumar H. Kolekar

This figure shows the co-authorship network connecting the top 25 collaborators of Maheshkumar H. Kolekar. A scholar is included among the top collaborators of Maheshkumar H. Kolekar 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 Maheshkumar H. Kolekar. Maheshkumar H. Kolekar 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.
Kolekar, Maheshkumar H., et al.. (2025). Dehaze-cGAN: Image dehazing using a multi-head attention-based conditional GAN for traffic video monitoring. Journal of Visual Communication and Image Representation. 113. 104619–104619.
2.
Barman, Joydip, et al.. (2025). Extreme Gradient Boosting Algorithm for Automatic Cardiac Arrhythmia Classification. Procedia Computer Science. 258. 1466–1475.
3.
Kolekar, Maheshkumar H., et al.. (2024). EffUNet++: A Novel Architecture for Brain Tumor Segmentation Using FLAIR MRI Images. IEEE Access. 12. 152430–152443. 14 indexed citations
4.
Kumar, Gaurav, et al.. (2024). CFAT: Unleashing Triangular Windows for Image Super-resolution. 26120–26129. 26 indexed citations
5.
Kolekar, Maheshkumar H., et al.. (2023). LoLTV: A Low Light Two-Wheeler Violation Dataset With Anomaly Detection Technique. IEEE Access. 11. 124951–124961. 12 indexed citations
6.
Kolekar, Maheshkumar H., et al.. (2023). LumiNet: Multispatial Attention Generative Adversarial Network for Backlit Image Enhancement. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 10 indexed citations
7.
Kolekar, Maheshkumar H., et al.. (2023). Accessory Based Classification of Football Players Using Attention UNet. 311–316.
8.
9.
Dash, Deba Prasad, Maheshkumar H. Kolekar, Chinmay Chakraborty, & Mohammad R. Khosravi. (2022). Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(1). 1–29. 33 indexed citations
10.
Kolekar, Maheshkumar H., et al.. (2022). Conversion of Hand Gesture to Speech for Speech Impaired People. 2022 IEEE 19th India Council International Conference (INDICON). 3. 1–5.
11.
Kumar, Prateek, et al.. (2022). A3N: Attention-based adversarial autoencoder network for detecting anomalies in video sequence. Journal of Visual Communication and Image Representation. 87. 103598–103598. 25 indexed citations
12.
Dash, Deba Prasad, Maheshkumar H. Kolekar, & Kamlesh Jha. (2021). Surface EEG based epileptic seizure detection using wavelet based features and dynamic mode decomposition power along with KNN classifier. Multimedia Tools and Applications. 81(29). 42057–42077. 11 indexed citations
13.
Singh, Pradeep Kumar, et al.. (2021). Recent Innovations in Computing. Lecture notes in electrical engineering. 11 indexed citations
14.
Dash, Deba Prasad & Maheshkumar H. Kolekar. (2020). EEG-Based Epileptic Seizure Detection Using Least Square SVM with Spectral and Multiscale Key Point Energy Features.. 323–335. 1 indexed citations
15.
Ghosal, Deepanway & Maheshkumar H. Kolekar. (2018). Music Genre Recognition Using Deep Neural Networks and Transfer Learning. 2087–2091. 59 indexed citations
16.
Dhane, Dhiraj Manohar, et al.. (2017). Fuzzy spectral clustering for automated delineation of chronic wound region using digital images. Computers in Biology and Medicine. 89. 551–560. 49 indexed citations
17.
Kolekar, Maheshkumar H., et al.. (2015). Unsupervised Graph Based Video Object Extraction.. Journal of the Association for Information Systems. 1 indexed citations
18.
Kolekar, Maheshkumar H., et al.. (2015). A Mask based approach for Lossless Colour Image Steganography.. Journal of the Association for Information Systems. 1 indexed citations
19.
Kolekar, Maheshkumar H. & Somnath Sengupta. (2005). Hierarchical structure for audio-video based semantic classification of sports video sequences. 43–43. 7 indexed citations
20.
Kolekar, Maheshkumar H. & Somnath Sengupta. (2004). Hidden Markov Model Based Structuring of Cricket Video Sequences Using Motion and Color Features.. 632–637. 12 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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