Lingraj Dora
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Advanced Neural Network Applications
Papers in
-
- Face and Expression Recognition 4
- Medical Image Segmentation Techniques 4
- Image Retrieval and Classification Techniques 3
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- Brain Tumor Detection and Classification 8
- Co-authors
- Sanjay Agrawal (18 shared papers)Rutuparna Panda (15 shared papers)Ajith Abraham (8 shared papers)Ram Bilas Pachori (2 shared papers)Monorama Swain (1 shared paper)Sarat K. Swain (1 shared paper)
- Journals
- International Journal of Imaging Systems and Technology (2 papers)Expert Systems with Applications (2 papers)Applied Soft Computing (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Engineering Science and Technology an International Journal (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Lingraj Dora
18 papers receiving 296 citations
Peers
Comparison fields: 5 of 74
- Neurology 78
- Computer Vision and Pattern Recognition 166
- Health Information Management 33
- Media Technology 44
- Health Informatics 5
Countries citing papers authored by Lingraj Dora
This map shows the geographic impact of Lingraj Dora'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 Lingraj Dora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingraj Dora more than expected).
Fields of papers citing papers by Lingraj Dora
This network shows the impact of papers produced by Lingraj Dora. 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 Lingraj Dora. The network helps show where Lingraj Dora may publish in the future.
Co-authors
The 6 scholars most cited alongside Lingraj Dora, 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 | 2017 | 92 | |
| 2 | 2017 | 72 | |
| 3 | 2018 | 44 | |
| 4 | 2014 | 34 | |
| 5 | 2017 | 30 | |
| 6 | 2021 | 11 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 5 | |
| 9 | 2013 | 4 | |
| 10 | 2010 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Lingraj Dora
Lingraj Dora is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 314 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (8 papers), Remote-Sensing Image Classification (4 papers), Face and Expression Recognition (4 papers), AI in cancer detection (4 papers), Medical Image Segmentation Techniques (4 papers), Artificial Intelligence in Healthcare (3 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Neurology (78 citations), Computer Vision and Pattern Recognition (166 citations), Health Information Management (33 citations), Media Technology (44 citations) and Health Informatics (5 citations). Lingraj Dora has collaborated with scholars based in India and United States. Frequent co-authors include Sanjay Agrawal, Rutuparna Panda, Ajith Abraham, Ram Bilas Pachori, Monorama Swain and Sarat K. Swain. Their work appears in journals such as International Journal of Imaging Systems and Technology, Expert Systems with Applications, Applied Soft Computing, Engineering Applications of Artificial Intelligence and Engineering Science and Technology an International Journal.
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.