Jim Cowie
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 14
- Topic Modeling 7
- Semantic Web and Ontologies 5
- Information Systems top 5%
- Information Retrieval and Search Behavior 2
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- Advanced Database Systems and Queries 2
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- Lexicography and Language Studies 4
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- Smart Materials for Construction 2
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- Oil and Gas Production Techniques 2
- Co-authors
- Wendy G. LehnertLouise GuthrieJoe GuthrieHamdy SolimanAhmed AbdelalíTyler McCandlessStefano AlessandriniSue Ellen Haupt
- Journals
- Communications of the ACM (1 paper)Information Processing & Management (1 paper)Transportation Research Record Journal of the Transportation Research Board (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jim Cowie
21 papers receiving 558 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 559
- Information Systems 215
- Management Science and Operations Research 57
- Signal Processing 38
- Computer Networks and Communications 60
Countries citing papers authored by Jim Cowie
This map shows the geographic impact of Jim Cowie'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 Jim Cowie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Cowie more than expected).
Fields of papers citing papers by Jim Cowie
This network shows the impact of papers produced by Jim Cowie. 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 Jim Cowie. The network helps show where Jim Cowie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jim Cowie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 38 | |
| 2 | 2007 | 1 | |
| 3 | 2006 | 20 | |
| 4 | 2005 | 1 | |
| 5 | 2005 | 0 | |
| 6 | MOQA: meaning-oriented question-answering | 2004 | 0 |
| 7 | Automatic question answering | 2000 | 9 |
| 8 | 2000 | 2 | |
| 9 | 1998 | 6 | |
| 10 | MINDS - Multi-lingual INteractive Document Summarization | 1998 | 5 |
| 11 | 1996 | 2 | |
| 12 | 1996 | 3 | |
| 13 | 1996 | 445 | |
| 14 | 1995 | 7 | |
| 15 | 1993 | 2 | |
| 16 | 1993 | 4 | |
| 17 | Combining weak methods in large scale text processing | 1992 | 3 |
| 18 | 1992 | 4 | |
| 19 | 1992 | 95 | |
| 20 | 1992 | 22 |
About Jim Cowie
Jim Cowie is a scholar working on Language and Linguistics, Artificial Intelligence and Pollution, having authored 23 papers that have together received 697 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (7 papers), Semantic Web and Ontologies (5 papers), Lexicography and Language Studies (4 papers), Smart Materials for Construction (2 papers), Information Retrieval and Search Behavior (2 papers), Oil and Gas Production Techniques (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Artificial Intelligence (559 citations), Information Systems (215 citations) and Management Science and Operations Research (57 citations). Jim Cowie has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Wendy G. Lehnert, Louise Guthrie, Joe Guthrie, Hamdy Soliman, Ahmed Abdelalí, Tyler McCandless, Stefano Alessandrini, Sue Ellen Haupt, Branko Kosović and Sergei Nirenburg. Their work appears in journals such as Communications of the ACM, Information Processing & Management and Transportation Research Record Journal of the Transportation Research Board.
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.