Karen Jensen
- Artificial Intelligence top 5%
- Information Systems top 10%
- Language and Linguistics top 10%
- Computational Theory and Mathematics
- Developmental and Educational Psychology
- Co-authors
- George E. HeidornLance A. MillerStephen D. RichardsonRoy J. ByrdMartin ChodorowYael RavinWlodek ZadroznyMonika Nerland
- Topics
- Natural Language Processing Techniques (6 papers)Lexicography and Language Studies (2 papers)Second Language Acquisition and Learning (1 paper)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Karen Jensen
12 papers receiving 287 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 330
- Information Systems 49
- Language and Linguistics 49
- Computational Theory and Mathematics 19
- Developmental and Educational Psychology 19
Countries citing papers authored by Karen Jensen
This map shows the geographic impact of Karen Jensen'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 Karen Jensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Jensen more than expected).
Fields of papers citing papers by Karen Jensen
This network shows the impact of papers produced by Karen Jensen. 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 Karen Jensen. The network helps show where Karen Jensen may publish in the future.
Co-authorship network of co-authors of Karen Jensen
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Jensen. A scholar is included among the top collaborators of Karen Jensen 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 Karen Jensen. Karen Jensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Detection of Events using Continuous Glucose Monitors | 0 |
| 3 | 2 | |
| 4 | Librarians as Teachers, Researchers and Community Members | 1 |
| 5 | Learning 2.0: A Tool for Staff Training at the University of Alaska Fairbanks Rasmuson Library | 1 |
| 6 | 64 | |
| 7 | Semantics of paragraphs | 21 |
| 8 | 4 | |
| 9 | Disambiguating prepositional phrase attachments by using on-line dictionary definitions | 64 |
| 10 | Binary Rules and Non-Binary Trees | 1 |
| 11 | Parse fitting and prose fixing: getting a hold on ill-formedness | 58 |
| 12 | 23 | |
| 13 | 107 | |
| 14 | 21 |
About Karen Jensen
Karen Jensen is a scholar working on Computer Science Applications, Conservation and Language and Linguistics, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Lexicography and Language Studies (2 papers) and Second Language Acquisition and Learning (1 paper). The work is most often cited by research in Artificial Intelligence (330 citations), Language and Linguistics (49 citations) and Information Systems (49 citations). Karen Jensen has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include George E. Heidorn, Lance A. Miller, Stephen D. Richardson, Roy J. Byrd, Martin Chodorow, Yael Ravin, Wlodek Zadrozny and Monika Nerland. Their work appears in journals such as Computational Linguistics, IBM Systems Journal and Cataloging & Classification Quarterly.
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.