Munish Kumar
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- Handwritten Text Recognition Techniques 71
- Image Processing and 3D Reconstruction 26
- Image Retrieval and Classification Techniques 17
- Advanced Image and Video Retrieval Techniques 14
- Face recognition and analysis 12
- Media Technology top 0.2%
- Vehicle License Plate Recognition 54
- Signal Processing top 1%
- Biometric Identification and Security 15
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems 15
- Health Informatics top 2%
- Co-authors
- Shaveta DarganMaruthi Rohit AyyagariGulshan KumarM. K. JindalMonika BansalKrishan KumarNaresh Kumar GargSurbhi Gupta
- Journals
- Multimedia Tools and Applications (40 papers)Soft Computing (17 papers)Archives of Computational Methods in Engineering (10 papers)
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Munish Kumar
177 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 2.9k
- Media Technology 925
- Signal Processing 649
- Human-Computer Interaction 295
- Health Informatics 53
Countries citing papers authored by Munish Kumar
This map shows the geographic impact of Munish 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 Munish Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munish Kumar more than expected).
Fields of papers citing papers by Munish Kumar
This network shows the impact of papers produced by Munish 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 Munish Kumar. The network helps show where Munish Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Munish Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 17 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | Self-supervised Learning: A Succinct Reviewbreakdown → | 2023 | 120 |
| 19 | 2021 | 177 | |
| 20 | 2021 | 4 |
About Munish Kumar
Munish Kumar is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 197 papers that have together received 5.6k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (71 papers), Vehicle License Plate Recognition (54 papers), Image Processing and 3D Reconstruction (26 papers), Image Retrieval and Classification Techniques (17 papers), Hand Gesture Recognition Systems (15 papers), Biometric Identification and Security (15 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Face recognition and analysis (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Media Technology (925 citations) and Signal Processing (649 citations). Munish Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Shaveta Dargan, Maruthi Rohit Ayyagari, Gulshan Kumar, M. K. Jindal, Monika Bansal, Krishan Kumar, Naresh Kumar Garg, Surbhi Gupta, Monika Sachdeva and Amandeep Kaur. Their work appears in journals such as Multimedia Tools and Applications, Soft Computing, Archives of Computational Methods in Engineering, Artificial Intelligence Review and Neural Computing and Applications.
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.