Ashish Verma
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Nitendra RajputC. NetiOm DeshmukhRajesh Kumar MKartik AudhkhasiGiridharan IyengarIndrajit BhattacharyaGerasimos Potamianos
- Topics
- Speech Recognition and Synthesis (17 papers)Speech and Audio Processing (15 papers)Music and Audio Processing (10 papers)
- Journals
- IEEE Transactions on Instrumentation and MeasurementIEEE Sensors JournalIBM Journal of Research and Development
- Partner nations
- IndiaUnited StatesAustria
In The Last Decade
Ashish Verma
64 papers receiving 509 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 338
- Signal Processing 239
- Computer Vision and Pattern Recognition 151
- Information Systems 62
- Experimental and Cognitive Psychology 58
Countries citing papers authored by Ashish Verma
This map shows the geographic impact of Ashish Verma'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 Ashish Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Verma more than expected).
Fields of papers citing papers by Ashish Verma
This network shows the impact of papers produced by Ashish Verma. 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 Ashish Verma. The network helps show where Ashish Verma may publish in the future.
Co-authorship network of co-authors of Ashish Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Verma. A scholar is included among the top collaborators of Ashish Verma 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 Ashish Verma. Ashish Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | Sentiment Analysis Using Supervised Machine Learning | 3 |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 12 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 1 |
About Ashish Verma
Ashish Verma is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 563 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (239 citations), Artificial Intelligence (338 citations) and Computer Vision and Pattern Recognition (151 citations). Ashish Verma has collaborated with scholars based in India, United States and Austria. Frequent co-authors include Nitendra Rajput, C. Neti, Om Deshmukh, Rajesh Kumar M, Kartik Audhkhasi, Giridharan Iyengar, Indrajit Bhattacharya, Gerasimos Potamianos, Shantanu Godbole and Ajay Gupta. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal and IBM Journal of Research and Development.
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.