Mary S. Neff
- Artificial Intelligence top 5%
- Language and Linguistics top 5%
- Information Systems
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Co-authors
- Branimir BoguraevRoy J. ByrdNicoletta CalzolariMartin ChodorowJudith L. KlavansB. K. BoguraevRie Kubota AndoJonathan Cooper
- Topics
- Natural Language Processing Techniques (15 papers)Topic Modeling (10 papers)Speech and dialogue systems (5 papers)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Mary S. Neff
17 papers receiving 218 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 222
- Language and Linguistics 57
- Information Systems 38
- Computational Theory and Mathematics 18
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by Mary S. Neff
This map shows the geographic impact of Mary S. Neff'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 Mary S. Neff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary S. Neff more than expected).
Fields of papers citing papers by Mary S. Neff
This network shows the impact of papers produced by Mary S. Neff. 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 Mary S. Neff. The network helps show where Mary S. Neff may publish in the future.
Co-authorship network of co-authors of Mary S. Neff
This figure shows the co-authorship network connecting the top 25 collaborators of Mary S. Neff. A scholar is included among the top collaborators of Mary S. Neff 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 Mary S. Neff. Mary S. Neff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Navigating through Dense Annotation Spaces | 1 |
| 3 | 11 | |
| 4 | 28 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | Lexical cohesion, discourse segmentation and document summarization | 25 |
| 11 | 2 | |
| 12 | 24 | |
| 13 | 27 | |
| 14 | Computational Tools for Lexicographers | 1 |
| 15 | 17 | |
| 16 | 63 | |
| 17 | Tools and Methods for Computational Linguistics | 24 |
About Mary S. Neff
Mary S. Neff is a scholar working on Artificial Intelligence, Language and Linguistics and Software, having authored 17 papers that have together received 261 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (10 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (222 citations), Language and Linguistics (57 citations) and Information Systems (38 citations). Mary S. Neff has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Branimir Boguraev, Roy J. Byrd, Nicoletta Calzolari, Martin Chodorow, Judith L. Klavans, B. K. Boguraev, Rie Kubota Ando, Jonathan Cooper, Youngja Park and Karthik Visweswariah. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation and Natural Language Engineering.
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.