Akshay Deepak
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Text Analysis Techniques
Papers in
-
- Speech Recognition and Synthesis 5
-
- Machine Learning in Bioinformatics 11
- Protein Structure and Dynamics 7
- Genomics and Phylogenetic Studies 6
- Co-authors
- Hiteshwar Kumar Azad (6 shared papers)Ashish Ranjan (13 shared papers)Michael A. Box (5 shared papers)Sudhakar Tripathi (10 shared papers)Jainath Yadav (1 shared paper)David Fernández‐Baca (7 shared papers)Kumar Abhishek (4 shared papers)Gail P. Box (1 shared paper)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (6 papers)Algorithms for Molecular Biology (2 papers)Statistical Applications in Genetics and Molecular Biology (2 papers)Information Sciences (2 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- IndiaUnited StatesIraq
In The Last Decade
Akshay Deepak
62 papers receiving 730 citations
Peers
Comparison fields: 5 of 108
- Signal Processing 108
- Artificial Intelligence 284
- Information Systems 167
- Atmospheric Science 128
- Experimental and Cognitive Psychology 87
Countries citing papers authored by Akshay Deepak
This map shows the geographic impact of Akshay Deepak'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 Akshay Deepak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Deepak more than expected).
Fields of papers citing papers by Akshay Deepak
This network shows the impact of papers produced by Akshay Deepak. 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 Akshay Deepak. The network helps show where Akshay Deepak may publish in the future.
Co-authors
The 25 scholars most cited alongside Akshay Deepak, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 174 | |
| 2 | 2020 | 107 | |
| 3 | 2021 | 65 | |
| 4 | 2019 | 59 | |
| 5 | 1977 | 55 | |
| 6 | 1979 | 48 | |
| 7 | 2019 | 24 | |
| 8 | 2022 | 19 | |
| 9 | Atmospheric Effects and Potential Climatic Impact of the 1980 Eruptions of Mount St. Helens | 1982 | 19 |
| 10 | 1978 | 18 | |
| 11 | 1982 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2021 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2025 | 9 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 6 |
About Akshay Deepak
Akshay Deepak is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Atmospheric Science and Global and Planetary Change, having authored 71 papers that have together received 787 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), Atmospheric aerosols and clouds (8 papers), Atmospheric Ozone and Climate (7 papers), Protein Structure and Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers), Web Data Mining and Analysis (5 papers), Computational Drug Discovery Methods (5 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Signal Processing (108 citations), Artificial Intelligence (284 citations), Information Systems (167 citations), Atmospheric Science (128 citations) and Experimental and Cognitive Psychology (87 citations). Akshay Deepak has collaborated with scholars based in India, United States and Iraq. Frequent co-authors include Hiteshwar Kumar Azad, Ashish Ranjan, Michael A. Box, Sudhakar Tripathi, Jainath Yadav, David Fernández‐Baca, Kumar Abhishek, Gail P. Box, Chinmay Chakraborty and Michelle M. McMahon. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Algorithms for Molecular Biology, Statistical Applications in Genetics and Molecular Biology, Information Sciences and Multimedia Tools and Applications.
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.