Srikanth Madikeri
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Control and Systems Engineering
- Co-authors
- Petr MotlíčekSubhadeep DeyHervé BourlardHema A. MurthyLukáš BurgetIvan HimawanTakafumi KoshinakaJuan Zuluaga-Gómez
- Topics
- Speech Recognition and Synthesis (45 papers)Speech and Audio Processing (35 papers)Music and Audio Processing (27 papers)
- Partner nations
- SwitzerlandCzechiaIndia
In The Last Decade
Srikanth Madikeri
48 papers receiving 292 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 285
- Signal Processing 240
- Computer Vision and Pattern Recognition 18
- Experimental and Cognitive Psychology 8
- Control and Systems Engineering 7
Countries citing papers authored by Srikanth Madikeri
This map shows the geographic impact of Srikanth Madikeri'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 Srikanth Madikeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srikanth Madikeri more than expected).
Fields of papers citing papers by Srikanth Madikeri
This network shows the impact of papers produced by Srikanth Madikeri. 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 Srikanth Madikeri. The network helps show where Srikanth Madikeri may publish in the future.
Co-authorship network of co-authors of Srikanth Madikeri
This figure shows the co-authorship network connecting the top 25 collaborators of Srikanth Madikeri. A scholar is included among the top collaborators of Srikanth Madikeri 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 Srikanth Madikeri. Srikanth Madikeri 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 19 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | Improving Real Time Factor of Information Bottleneck-based Speaker Diarization System | 1 |
| 20 | A hybrid factor analysis and probabilistic PCA-based system for dictionary learning and encoding for robust speaker recognition. | 3 |
About Srikanth Madikeri
Srikanth Madikeri is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 312 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (45 papers), Speech and Audio Processing (35 papers) and Music and Audio Processing (27 papers). The work is most often cited by research in Signal Processing (240 citations), Artificial Intelligence (285 citations) and Computer Vision and Pattern Recognition (18 citations). Srikanth Madikeri has collaborated with scholars based in Switzerland, Czechia and India. Frequent co-authors include Petr Motlíček, Subhadeep Dey, Hervé Bourlard, Hema A. Murthy, Lukáš Burget, Ivan Himawan, Takafumi Koshinaka, Juan Zuluaga-Gómez, Nauman Dawalatabad and Esaú Villatoro-Tello. Their work appears in journals such as IEEE Signal Processing Letters, Speech Communication and Digital Signal Processing.
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.