D. Raj Reddy
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Industrial and Manufacturing Engineering top 5%
- Information Systems top 10%
- Co-authors
- Lee D. ErmanFrederick Hayes‐RothVictor LesserKeith PricePhilip J. HayesB. LowerreRichard Neely
- Topics
- Speech Recognition and Synthesis (4 papers)Speech and dialogue systems (2 papers)Speech and Audio Processing (2 papers)
- Journals
- The Journal of the Acoustical Society of AmericaACM Computing SurveysJournal of the Audio Engineering Society
- Partner nations
- United States
In The Last Decade
D. Raj Reddy
8 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 631
- Computer Vision and Pattern Recognition 351
- Computer Networks and Communications 163
- Industrial and Manufacturing Engineering 100
- Information Systems 88
Countries citing papers authored by D. Raj Reddy
This map shows the geographic impact of D. Raj Reddy'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 D. Raj Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Raj Reddy more than expected).
Fields of papers citing papers by D. Raj Reddy
This network shows the impact of papers produced by D. Raj Reddy. 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 D. Raj Reddy. The network helps show where D. Raj Reddy may publish in the future.
Co-authorship network of co-authors of D. Raj Reddy
This figure shows the co-authorship network connecting the top 25 collaborators of D. Raj Reddy. A scholar is included among the top collaborators of D. Raj Reddy 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 D. Raj Reddy. D. Raj Reddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 69 | |
| 3 | The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertaintybreakdown → | 799 |
| 4 | 311 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | A Procedure for the Segmentation of Connected Speech | 12 |
| 8 | An Algorithm for Segmentation of Connected Speech | 1 |
About D. Raj Reddy
D. Raj Reddy is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (4 papers), Speech and dialogue systems (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (631 citations), Computer Vision and Pattern Recognition (351 citations) and Software (39 citations). D. Raj Reddy has collaborated with scholars based in United States. Frequent co-authors include Lee D. Erman, Frederick Hayes‐Roth, Victor Lesser, Keith Price, Philip J. Hayes, B. Lowerre and Richard Neely. Their work appears in journals such as The Journal of the Acoustical Society of America, ACM Computing Surveys and Journal of the Audio Engineering Society.
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.