Abin Jose
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 6
- Medical Image Segmentation Techniques 3
- Video Surveillance and Tracking Methods 3
- Digital Imaging for Blood Diseases 2
-
- AI in cancer detection 6
- Co-authors
- Rijo Roy (6 shared papers)Dorit Merhof (3 shared papers)Ehsan Khodapanah Aghdam (3 shared papers)Reza Azad (4 shared papers)Amirhossein Kazerouni (3 shared papers)Amirali Molaei (2 shared papers)Moein Heidari (2 shared papers)Pranesh Das (1 shared paper)
In The Last Decade
Abin Jose
21 papers receiving 357 citations
Abin Jose's Hit Papers
Peers
Comparison fields: 5 of 83
- Health Informatics 14
- Computer Vision and Pattern Recognition 141
- Neurology 47
- Radiology, Nuclear Medicine and Imaging 95
- Biophysics 25
Countries citing papers authored by Abin Jose
This map shows the geographic impact of Abin Jose'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 Abin Jose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abin Jose more than expected).
Fields of papers citing papers by Abin Jose
This network shows the impact of papers produced by Abin Jose. 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 Abin Jose. The network helps show where Abin Jose may publish in the future.
Co-authors
The 24 scholars most cited alongside Abin Jose, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in medical image analysis with vision Transformers: A comprehensive review Hit paper breakdown → | 2023 | 244 |
| 2 | 2024 | 18 | |
| 3 | 2018 | 13 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2017 | 7 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2013 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | The Attitude of Generation Z towards the Sharing Economy : A comparative study on Indian and Swedish generation Z | 2020 | 1 |
About Abin Jose
Abin Jose is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics and Media Technology, having authored 26 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), AI in cancer detection (6 papers), Cell Image Analysis Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Image Segmentation Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (14 citations), Computer Vision and Pattern Recognition (141 citations), Neurology (47 citations), Radiology, Nuclear Medicine and Imaging (95 citations) and Biophysics (25 citations). Abin Jose has collaborated with scholars based in Germany, India and Iran. Frequent co-authors include Rijo Roy, Dorit Merhof, Ehsan Khodapanah Aghdam, Reza Azad, Amirhossein Kazerouni, Amirali Molaei, Moein Heidari, Pranesh Das, Chandra Sekhar Seelamantula and Johannes Stegmaier. Their work appears in journals such as PLoS Computational Biology, Emergency Radiology, PLoS ONE, Medical Image Analysis and Lecture notes in computer science.
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.