A. D. Dileep
Impact in
- Developmental Biology top 10%
- Animal Vocal Communication and Behavior
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 12
-
- Face and Expression Recognition 9
- Advanced Data Compression Techniques 6
- Co-authors
- C. Chandra Sekhar (10 shared papers)Timothy A. Gonsalves (3 shared papers)Anil Kumar Sao (7 shared papers)Pulkit Sharma (5 shared papers)Mohammad Talha (1 shared paper)Vinayak Abrol (5 shared papers)P.K. Rajan (5 shared papers)George Abraham (1 shared paper)
- Journals
- International Journal of Speech Technology (2 papers)Neurocomputing (1 paper)Speech Communication (1 paper)Machine Vision and Applications (1 paper)IEEE Access (1 paper)
- Partner nations
- India
In The Last Decade
A. D. Dileep
39 papers receiving 321 citations
Peers
Comparison fields: 5 of 73
- Developmental Biology 27
- Signal Processing 97
- Computer Vision and Pattern Recognition 100
- Artificial Intelligence 147
- Information Systems 74
Countries citing papers authored by A. D. Dileep
This map shows the geographic impact of A. D. Dileep'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 A. D. Dileep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. D. Dileep more than expected).
Fields of papers citing papers by A. D. Dileep
This network shows the impact of papers produced by A. D. Dileep. 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 A. D. Dileep. The network helps show where A. D. Dileep may publish in the future.
Co-authors
The 18 scholars most cited alongside A. D. Dileep, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 35 | |
| 2 | 2006 | 32 | |
| 3 | 2018 | 25 | |
| 4 | 2023 | 21 | |
| 5 | 2009 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2016 | 14 | |
| 8 | 2013 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2013 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2010 | 9 | |
| 15 | 2012 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2014 | 6 |
About A. D. Dileep
A. D. Dileep is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Computer Networks and Communications, having authored 42 papers that have together received 331 indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (12 papers), Face and Expression Recognition (9 papers), Cloud Computing and Resource Management (6 papers), Advanced Data Compression Techniques (6 papers), Music and Audio Processing (5 papers), IoT and Edge/Fog Computing (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Developmental Biology (27 citations), Signal Processing (97 citations), Computer Vision and Pattern Recognition (100 citations), Artificial Intelligence (147 citations) and Information Systems (74 citations). A. D. Dileep has collaborated with scholars based in India. Frequent co-authors include C. Chandra Sekhar, Timothy A. Gonsalves, Anil Kumar Sao, Pulkit Sharma, Mohammad Talha, Vinayak Abrol, P.K. Rajan, George Abraham, Varun Dutt and Neeraj Sharma. Their work appears in journals such as International Journal of Speech Technology, Neurocomputing, Speech Communication, Machine Vision and Applications and IEEE Access.
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.