Devendra Singh Dhami
- Artificial Intelligence
- Molecular Biology
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Plant Science
- Co-authors
- Sriraam NatarajanKristian KerstingUlrike SchumacherDavid PageGautam KunapuliSatish Chandra PandeyMukesh SamantAwanish Kumar
- Topics
- Logic, Reasoning, and Knowledge (4 papers)Topic Modeling (3 papers)Multimodal Machine Learning Applications (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Devendra Singh Dhami
25 papers receiving 119 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 41
- Molecular Biology 28
- Computational Theory and Mathematics 15
- Computer Vision and Pattern Recognition 14
- Plant Science 10
Countries citing papers authored by Devendra Singh Dhami
This map shows the geographic impact of Devendra Singh Dhami'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 Devendra Singh Dhami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devendra Singh Dhami more than expected).
Fields of papers citing papers by Devendra Singh Dhami
This network shows the impact of papers produced by Devendra Singh Dhami. 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 Devendra Singh Dhami. The network helps show where Devendra Singh Dhami may publish in the future.
Co-authorship network of co-authors of Devendra Singh Dhami
This figure shows the co-authorship network connecting the top 25 collaborators of Devendra Singh Dhami. A scholar is included among the top collaborators of Devendra Singh Dhami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Devendra Singh Dhami. Devendra Singh Dhami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | Predicting Drug-Drug Interactions from Molecular Structure Images | 1 |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | In situ hybridisation: a review of methodologies and applications in the biomedical sciences. | 19 |
About Devendra Singh Dhami
Devendra Singh Dhami is a scholar working on Artificial Intelligence, Process Chemistry and Technology and Signal Processing, having authored 31 papers that have together received 122 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (4 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Health Informatics (2 citations), Health Information Management (6 citations) and Artificial Intelligence (41 citations). Devendra Singh Dhami has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Sriraam Natarajan, Kristian Kersting, Ulrike Schumacher, David Page, Gautam Kunapuli, Satish Chandra Pandey, Mukesh Samant, Awanish Kumar, Stefan Roth and Christopher T. Whitlow. Their work appears in journals such as Expert Systems with Applications, Remote Sensing and Machine Learning.
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.