Suresh Dara
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Materials Chemistry
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Haider BankaSurender Singh JadavCh. Madhu BabuMohamed Jawed AhsanChandra Sekhara Rao AnnavarapuAnkit VidyarthiGhulam MuhammadDebjani Ghosh
- Topics
- Gene expression and cancer classification (11 papers)Evolutionary Algorithms and Applications (8 papers)Metaheuristic Optimization Algorithms Research (6 papers)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Suresh Dara
27 papers receiving 761 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 277
- Computational Theory and Mathematics 264
- Artificial Intelligence 260
- Materials Chemistry 85
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Suresh Dara
This map shows the geographic impact of Suresh Dara'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 Suresh Dara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suresh Dara more than expected).
Fields of papers citing papers by Suresh Dara
This network shows the impact of papers produced by Suresh Dara. 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 Suresh Dara. The network helps show where Suresh Dara may publish in the future.
Co-authorship network of co-authors of Suresh Dara
This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Dara. A scholar is included among the top collaborators of Suresh Dara 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 Suresh Dara. Suresh Dara 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 24 | |
| 12 | Machine Learning in Drug Discovery: A Reviewbreakdown → | 403 |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | 24 | |
| 19 | Hamming Distance based Binary PSO for Feature Selection and Classification from high dimensional Gene Expression Data. | 2 |
| 20 | 5 |
About Suresh Dara
Suresh Dara is a scholar working on Health Informatics, Artificial Intelligence and Molecular Biology, having authored 31 papers that have together received 790 indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Evolutionary Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Health Informatics (26 citations), Computational Theory and Mathematics (264 citations) and Artificial Intelligence (260 citations). Suresh Dara has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Haider Banka, Surender Singh Jadav, Ch. Madhu Babu, Mohamed Jawed Ahsan, Chandra Sekhara Rao Annavarapu, Ankit Vidyarthi, Ghulam Muhammad, Debjani Ghosh, Deepak Gupta and Punit Gupta. Their work appears in journals such as Scientific Reports, IEEE Internet of Things Journal and Pattern Recognition Letters.
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.