Richard Schwartz
- Artificial Intelligence top 2%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research
- Co-authors
- David R. MillerTim LeekBonnie J. DorrNitin MadnaniMatthew SnoverYen-Lu ChowSpyros MatsoukasHubert Jin
- Topics
- Speech Recognition and Synthesis (7 papers)Speech and dialogue systems (6 papers)Natural Language Processing Techniques (6 papers)
- Journals
- Brain ResearchThe Journal of the Acoustical Society of AmericaTransactions of the American Mathematical Society
- Partner nations
- United StatesJapan
In The Last Decade
Richard Schwartz
23 papers receiving 610 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 671
- Information Systems 218
- Signal Processing 128
- Computer Vision and Pattern Recognition 66
- Management Science and Operations Research 29
Countries citing papers authored by Richard Schwartz
This map shows the geographic impact of Richard Schwartz'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 Richard Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Schwartz more than expected).
Fields of papers citing papers by Richard Schwartz
This network shows the impact of papers produced by Richard Schwartz. 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 Richard Schwartz. The network helps show where Richard Schwartz may publish in the future.
Co-authorship network of co-authors of Richard Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Schwartz. A scholar is included among the top collaborators of Richard Schwartz 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 Richard Schwartz. Richard Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 24 | |
| 3 | 2 | |
| 4 | 141 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | Windows 2000 Active Directory survival guide: Planning and implementation | 1 |
| 9 | 302 | |
| 10 | 34 | |
| 11 | Windows 2000 active directory survival guide | 3 |
| 12 | 12 | |
| 13 | BBN: Description of the SIFT System as Used for MUC-7 | 46 |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 9 | |
| 17 | 21 | |
| 18 | 21 | |
| 19 | 59 | |
| 20 | 14 |
About Richard Schwartz
Richard Schwartz is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 772 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Speech and dialogue systems (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (671 citations), Signal Processing (128 citations) and Information Systems (218 citations). Richard Schwartz has collaborated with scholars based in United States and Japan. Frequent co-authors include David R. Miller, Tim Leek, Bonnie J. Dorr, Nitin Madnani, Matthew Snover, Yen-Lu Chow, Spyros Matsoukas, Hubert Jin, Owen Kimball and Junxia Ma. Their work appears in journals such as Brain Research, The Journal of the Acoustical Society of America and Transactions of the American Mathematical 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.