Deepak Mane
Impact in
- Media Technology top 10%
- Vehicle License Plate Recognition
-
- Handwritten Text Recognition Techniques
- Advanced Neural Network Applications
Papers in
-
- Fuzzy Logic and Control Systems 5
- Neural Networks and Applications 4
- AI in cancer detection 4
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- Advanced Neural Network Applications 6
- Handwritten Text Recognition Techniques 5
- Co-authors
- U. V. Kulkarni (4 shared papers)Swati Shinde (1 shared paper)Patrick Schaumont (1 shared paper)Bilgiday Yuce (1 shared paper)Parikshit N. Mahalle (2 shared papers)Sandeep Kadam (1 shared paper)Kailash Shaw (1 shared paper)Rajesh Prasad (2 shared papers)
- Journals
- Big Data and Cognitive Computing (1 paper)Image Analysis & Stereology (1 paper)Sustainable Computing Informatics and Systems (1 paper)IEEE Access (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Deepak Mane
30 papers receiving 129 citations
Peers
Comparison fields: 5 of 58
- Media Technology 35
- Computer Vision and Pattern Recognition 61
- Health Information Management 11
- Artificial Intelligence 64
- Health Informatics 2
Countries citing papers authored by Deepak Mane
This map shows the geographic impact of Deepak Mane'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 Deepak Mane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Mane more than expected).
Fields of papers citing papers by Deepak Mane
This network shows the impact of papers produced by Deepak Mane. 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 Deepak Mane. The network helps show where Deepak Mane may publish in the future.
Co-authors
The 21 scholars most cited alongside Deepak Mane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 24 | |
| 2 | 2018 | 21 | |
| 3 | 2022 | 19 | |
| 4 | 2021 | 11 | |
| 5 | A Survey On Deep Learning Approaches For Vehicle And Number Plate Detection | 2019 | 8 |
| 6 | Survey On Text Categorization Using Sentiment Analysis | 2019 | 7 |
| 7 | 2022 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2015 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
About Deepak Mane
Deepak Mane is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications and Neurology, having authored 42 papers that have together received 168 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (6 papers), Advanced Neural Network Applications (6 papers), Fuzzy Logic and Control Systems (5 papers), Handwritten Text Recognition Techniques (5 papers), Brain Tumor Detection and Classification (4 papers), Network Security and Intrusion Detection (4 papers), Neural Networks and Applications (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Media Technology (35 citations), Computer Vision and Pattern Recognition (61 citations), Health Information Management (11 citations), Artificial Intelligence (64 citations) and Health Informatics (2 citations). Deepak Mane has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include U. V. Kulkarni, Swati Shinde, Patrick Schaumont, Bilgiday Yuce, Parikshit N. Mahalle, Sandeep Kadam, Kailash Shaw, Rajesh Prasad, Suraj Sawant and Komal Patil. Their work appears in journals such as Big Data and Cognitive Computing, Image Analysis & Stereology, Sustainable Computing Informatics and Systems, IEEE Access and Scientific Reports.
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.