Gordon W. Paynter
- Artificial Intelligence top 1%
- Information Systems top 1%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Ian H. WittenEibe FrankCraig G. Nevill-ManningCarl GutwinSteve JonesGeorge BuchananSally Jo CunninghamDavid Bainbridge
- Topics
- Advanced Text Analysis Techniques (11 papers)Information Retrieval and Search Behavior (6 papers)Web Data Mining and Analysis (4 papers)
- Journals
- Decision Support SystemsD-Lib MagazineJournal of Experimental & Theoretical Artificial Intelligence
- Partner nations
- New ZealandUnited StatesCanada
In The Last Decade
Gordon W. Paynter
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 1.2k
- Information Systems 616
- Molecular Biology 123
- Computer Vision and Pattern Recognition 89
- Computer Networks and Communications 62
Countries citing papers authored by Gordon W. Paynter
This map shows the geographic impact of Gordon W. Paynter'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 Gordon W. Paynter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon W. Paynter more than expected).
Fields of papers citing papers by Gordon W. Paynter
This network shows the impact of papers produced by Gordon W. Paynter. 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 Gordon W. Paynter. The network helps show where Gordon W. Paynter may publish in the future.
Co-authorship network of co-authors of Gordon W. Paynter
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon W. Paynter. A scholar is included among the top collaborators of Gordon W. Paynter 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 Gordon W. Paynter. Gordon W. Paynter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | An Evaluation of Document Keyphrase Sets | 19 |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 43 | |
| 9 | 15 | |
| 10 | 46 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | Developing a Practical Programming by Demonstration Tool | 4 |
| 14 | Domain-specific keyphrase extraction | 417 |
| 15 | Familiar: Automating Repetition in Common Applications | 1 |
| 16 | 33 | |
| 17 | KEAbreakdown → | 529 |
| 18 | 18 | |
| 19 | 23 | |
| 20 | Generalizing Programming by Demonstration | 2 |
About Gordon W. Paynter
Gordon W. Paynter is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (11 papers), Information Retrieval and Search Behavior (6 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (616 citations) and Computer Science Applications (31 citations). Gordon W. Paynter has collaborated with scholars based in New Zealand, United States and Canada. Frequent co-authors include Ian H. Witten, Eibe Frank, Craig G. Nevill-Manning, Carl Gutwin, Steve Jones, George Buchanan, Sally Jo Cunningham, David Bainbridge, Margaret Mooney and Stefan Boddie. Their work appears in journals such as Decision Support Systems, D-Lib Magazine and Journal of Experimental & Theoretical Artificial Intelligence.
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.