John Sterling
- Artificial Intelligence top 5%
- Information Systems top 10%
- Molecular Biology
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Ralph GrishmanEugene AgichteinAndrew BorthwickCatherine MacleodSatoshi SekineBerta StruloviciStephan HeyseRichard M. Eglen
- Topics
- Natural Language Processing Techniques (8 papers)Topic Modeling (6 papers)Speech and dialogue systems (4 papers)
- Journals
- Assay and Drug Development TechnologiesJournal of Research of the National Bureau of Standards Section A Physics and ChemistryMeeting of the Association for Computational Linguistics
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
John Sterling
21 papers receiving 390 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 453
- Information Systems 84
- Molecular Biology 44
- Management Science and Operations Research 40
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by John Sterling
This map shows the geographic impact of John Sterling'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 John Sterling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Sterling more than expected).
Fields of papers citing papers by John Sterling
This network shows the impact of papers produced by John Sterling. 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 John Sterling. The network helps show where John Sterling may publish in the future.
Co-authorship network of co-authors of John Sterling
This figure shows the co-authorship network connecting the top 25 collaborators of John Sterling. A scholar is included among the top collaborators of John Sterling 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 John Sterling. John Sterling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Exploiting diverse knowledge sources via maximum entropy in named entity recognition | 138 |
| 4 | NYU: Description of the MENE Named Entity System as Used in MUC-7 | 143 |
| 5 | NYU/BBN 1994 CSR evaluation | 3 |
| 6 | NYU Language Modeling Experiments for the 1995 CSR Evaluation | 7 |
| 7 | 45 | |
| 8 | 21 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 42 | |
| 12 | NEW YORK UNIVERSITYDESCRIPTION OF THE PROTEUS SYSTEMAS USED FOR MUC-3 | 6 |
| 13 | 22 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | 7 | |
| 18 | An equipment model and its role in the interpretation of noun phrases | 3 |
| 19 | Single parameter testing | 1 |
| 20 | 1 |
About John Sterling
John Sterling is a scholar working on Metals and Alloys, Artificial Intelligence and Information Systems and Management, having authored 21 papers that have together received 502 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Artificial Intelligence (453 citations), Information Systems (84 citations) and Management Science and Operations Research (40 citations). John Sterling has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ralph Grishman, Eugene Agichtein, Andrew Borthwick, Catherine Macleod, Satoshi Sekine, Berta Strulovici, Stephan Heyse, Richard M. Eglen, Shuichi Sekine and Tomasz Ksiezyk. Their work appears in journals such as Assay and Drug Development Technologies, Journal of Research of the National Bureau of Standards Section A Physics and Chemistry and Meeting of the Association for Computational Linguistics.
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.