Raghavendra Pappagari
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Physiology
- Co-authors
- Najim DehakJaejin ChoJesús VillalbaLaureano Moro-VelázquezPurva KulkarniYishay CarmielPiotr ŻelaskoMaria Nădejde
- Topics
- Speech Recognition and Synthesis (5 papers)Natural Language Processing Techniques (4 papers)Topic Modeling (4 papers)
- Journals
- Interspeech 2022
- Partner nations
- United StatesIndia
In The Last Decade
Raghavendra Pappagari
10 papers receiving 172 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 132
- Signal Processing 73
- Experimental and Cognitive Psychology 67
- Computer Vision and Pattern Recognition 20
- Physiology 17
Countries citing papers authored by Raghavendra Pappagari
This map shows the geographic impact of Raghavendra Pappagari'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 Raghavendra Pappagari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghavendra Pappagari more than expected).
Fields of papers citing papers by Raghavendra Pappagari
This network shows the impact of papers produced by Raghavendra Pappagari. 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 Raghavendra Pappagari. The network helps show where Raghavendra Pappagari may publish in the future.
Co-authorship network of co-authors of Raghavendra Pappagari
This figure shows the co-authorship network connecting the top 25 collaborators of Raghavendra Pappagari. A scholar is included among the top collaborators of Raghavendra Pappagari 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 Raghavendra Pappagari. Raghavendra Pappagari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 8 | |
| 4 | 37 | |
| 5 | 42 | |
| 6 | 61 | |
| 7 | Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. | 11 |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 5 |
About Raghavendra Pappagari
Raghavendra Pappagari is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 194 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Signal Processing (73 citations), Experimental and Cognitive Psychology (67 citations) and Artificial Intelligence (132 citations). Raghavendra Pappagari has collaborated with scholars based in United States and India. Frequent co-authors include Najim Dehak, Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Purva Kulkarni, Yishay Carmiel, Piotr Żelasko, Maria Nădejde, Anna Currey and Stanislas Lauly. Their work appears in journals such as 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.