Sheldon Klein
- Artificial Intelligence top 10%
- Computational Theory and Mathematics
- Language and Linguistics top 10%
- Sociology and Political Science
- Linguistics and Language top 10%
- Co-authors
- Robert F. SimmonsMichael G. KennyDavid B. KronenfeldJacob PalisPaul JorionMaría GreverRobert A. RubinsteinWarren D. TenHouten
- Topics
- Natural Language Processing Techniques (9 papers)Speech and dialogue systems (5 papers)Topic Modeling (5 papers)
- Partner nations
- United States
In The Last Decade
Sheldon Klein
17 papers receiving 175 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 153
- Computational Theory and Mathematics 28
- Language and Linguistics 28
- Sociology and Political Science 21
- Linguistics and Language 21
Countries citing papers authored by Sheldon Klein
This map shows the geographic impact of Sheldon Klein'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 Sheldon Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheldon Klein more than expected).
Fields of papers citing papers by Sheldon Klein
This network shows the impact of papers produced by Sheldon Klein. 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 Sheldon Klein. The network helps show where Sheldon Klein may publish in the future.
Co-authorship network of co-authors of Sheldon Klein
This figure shows the co-authorship network connecting the top 25 collaborators of Sheldon Klein. A scholar is included among the top collaborators of Sheldon Klein 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 Sheldon Klein. Sheldon Klein 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 | Sensitive pasts : questioning heritage in education | 8 |
| 3 | 0 | |
| 4 | 32 | |
| 5 | 14 | |
| 6 | Culture, Mysticism & Social Structure and the Calculation of Behavior. | 9 |
| 7 | 4 | |
| 8 | Automatic Inference of Semantic Deep Structure Rules in Generative Semantic Grammars. | 9 |
| 9 | An interactive heuristic program for learning transformational grammars. | 13 |
| 10 | 2 | |
| 11 | The Autoling System | 4 |
| 12 | Historical Change in Language Using Monte Carlo Techniques | 8 |
| 13 | 15 | |
| 14 | 2 | |
| 15 | AUTOMATIC PARAPHRASING IN ESSAY FORMAT | 13 |
| 16 | 23 | |
| 17 | Syntactic Dependence and the Computer Generation of Coherent Discourse | 13 |
| 18 | 68 | |
| 19 | 1 |
About Sheldon Klein
Sheldon Klein is a scholar working on Linguistics and Language, Language and Linguistics and Artificial Intelligence, having authored 19 papers that have together received 239 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Speech and dialogue systems (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (153 citations), Linguistics and Language (21 citations) and Theoretical Computer Science (4 citations). Sheldon Klein has collaborated with scholars based in United States. Frequent co-authors include Robert F. Simmons, Michael G. Kenny, David B. Kronenfeld, Jacob Palis, Paul Jorion, María Grever, Robert A. Rubinstein, Warren D. TenHouten, John A. Young and Stevan Harnad. Their work appears in journals such as Language, Journal of the ACM and Current Anthropology.
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.