Abhilash Srikantha
- Human-Computer Interaction top 5%
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- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Image and Object Detection Techniques 2
- Advanced Neural Network Applications 2
- Control and Systems Engineering top 10%
- Media Technology top 10%
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- Integrated Circuits and Semiconductor Failure Analysis 2
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- Industrial Vision Systems and Defect Detection 2
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- Radiomics and Machine Learning in Medical Imaging 1
- MRI in cancer diagnosis 1
- Co-authors
- Jüergen GallDésiré SidibéLuca BallanMarc PollefeysDimitrios TzionasD. ZeidlerMelissa L. Knothe TateChristian Wojek
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- International Journal of Computer Vision (1 paper)Frontiers in Physiology (1 paper)Computer Vision and Image Understanding (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Abhilash Srikantha
9 papers receiving 279 citations
Peers
Comparison fields: 5 of 45
- Human-Computer Interaction 111
- Computer Vision and Pattern Recognition 245
- Control and Systems Engineering 130
- Media Technology 26
- Computer Graphics and Computer-Aided Design 8
Countries citing papers authored by Abhilash Srikantha
This map shows the geographic impact of Abhilash Srikantha'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 Abhilash Srikantha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhilash Srikantha more than expected).
Fields of papers citing papers by Abhilash Srikantha
This network shows the impact of papers produced by Abhilash Srikantha. 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 Abhilash Srikantha. The network helps show where Abhilash Srikantha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhilash Srikantha, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 4 | |
| 4 | 2017 | 53 | |
| 5 | 2016 | 155 | |
| 6 | 2016 | 3 | |
| 7 | 2014 | 2 | |
| 8 | 2013 | 3 | |
| 9 | 2012 | 1 | |
| 10 | 2012 | 78 |
About Abhilash Srikantha
Abhilash Srikantha is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 10 papers that have together received 301 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (2 papers), Advanced Vision and Imaging (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Human Pose and Action Recognition (2 papers), Image and Object Detection Techniques (2 papers), Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Human-Computer Interaction (111 citations), Computer Vision and Pattern Recognition (245 citations) and Control and Systems Engineering (130 citations). Abhilash Srikantha has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jüergen Gall, Désiré Sidibé, Luca Ballan, Marc Pollefeys, Dimitrios Tzionas, D. Zeidler, Melissa L. Knothe Tate, Christian Wojek, Fabrice Mériaudeau and Robert Martí. Their work appears in journals such as International Journal of Computer Vision, Frontiers in Physiology and Computer Vision and Image Understanding.
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.