Murali Karthick Baskar
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Experimental and Cognitive Psychology
- Physiology
- Computer Vision and Pattern Recognition
- Co-authors
- Shinji WatanabeMartin KarafiátJaň ČernockýLukáš BurgetJaejin ChoTakaaki HoriKarel VeselýFrantišek Grézl
- Topics
- Speech Recognition and Synthesis (19 papers)Natural Language Processing Techniques (11 papers)Speech and Audio Processing (6 papers)
- Journals
- IEEE Journal of Selected Topics in Signal ProcessingSpeech CommunicationInterspeech 2022
- Partner nations
- United StatesCzechiaJapan
In The Last Decade
Murali Karthick Baskar
20 papers receiving 224 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 212
- Signal Processing 157
- Experimental and Cognitive Psychology 16
- Physiology 13
- Computer Vision and Pattern Recognition 7
Countries citing papers authored by Murali Karthick Baskar
This map shows the geographic impact of Murali Karthick Baskar'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 Murali Karthick Baskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murali Karthick Baskar more than expected).
Fields of papers citing papers by Murali Karthick Baskar
This network shows the impact of papers produced by Murali Karthick Baskar. 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 Murali Karthick Baskar. The network helps show where Murali Karthick Baskar may publish in the future.
Co-authorship network of co-authors of Murali Karthick Baskar
This figure shows the co-authorship network connecting the top 25 collaborators of Murali Karthick Baskar. A scholar is included among the top collaborators of Murali Karthick Baskar 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 Murali Karthick Baskar. Murali Karthick Baskar 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 | 5 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 36 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 3 |
About Murali Karthick Baskar
Murali Karthick Baskar is a scholar working on Signal Processing, Artificial Intelligence and Hardware and Architecture, having authored 21 papers that have together received 239 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (11 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Signal Processing (157 citations), Artificial Intelligence (212 citations) and Experimental and Cognitive Psychology (16 citations). Murali Karthick Baskar has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Shinji Watanabe, Martin Karafiát, Jaň Černocký, Lukáš Burget, Jaejin Cho, Takaaki Hori, Karel Veselý, František Grézl, Matthew Wiesner and Nelson Yalta. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Speech Communication and Interspeech 2022.
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.