William J. Teahan
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- John G. ClearyIan H. WittenRodger J. McNabYingying WenNidal A. Al-DmourJeff KettleTudur Wyn DavidT. Jesper Jacobsson
- Topics
- Algorithms and Data Compression (22 papers)Natural Language Processing Techniques (19 papers)Handwritten Text Recognition Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaNano EnergyIEEE Access
- Partner nations
- United KingdomNew ZealandSaudi Arabia
In The Last Decade
William J. Teahan
60 papers receiving 646 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 467
- Computer Vision and Pattern Recognition 189
- Computer Networks and Communications 94
- Information Systems 85
- Computational Theory and Mathematics 73
Countries citing papers authored by William J. Teahan
This map shows the geographic impact of William J. Teahan'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 William J. Teahan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Teahan more than expected).
Fields of papers citing papers by William J. Teahan
This network shows the impact of papers produced by William J. Teahan. 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 William J. Teahan. The network helps show where William J. Teahan may publish in the future.
Co-authorship network of co-authors of William J. Teahan
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Teahan. A scholar is included among the top collaborators of William J. Teahan 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 William J. Teahan. William J. Teahan 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 | Visualisation Data Modelling Graphics (VDMG) at Bangor | 1 |
| 3 | 11 | |
| 4 | A New Thinning Algorithm for Arabic Script | 9 |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | jGE: a Java implementation of grammatical evolution | 6 |
| 12 | 14 | |
| 13 | Bangor at TREC 2004: Question Answering Track. | 9 |
| 14 | 2 | |
| 15 | Bangor at TREC 2003: Q&A and Genomics Tracks. | 2 |
| 16 | 7 | |
| 17 | 48 | |
| 18 | 15 | |
| 19 | Text classification and segmentation using minimum cross-entropy | 41 |
| 20 | 3 |
About William J. Teahan
William J. Teahan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental Biology, having authored 65 papers that have together received 727 indexed citations. Recurring topics across this work include Algorithms and Data Compression (22 papers), Natural Language Processing Techniques (19 papers) and Handwritten Text Recognition Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (467 citations), Computer Vision and Pattern Recognition (189 citations) and Hardware and Architecture (42 citations). William J. Teahan has collaborated with scholars based in United Kingdom, New Zealand and Saudi Arabia. Frequent co-authors include John G. Cleary, Ian H. Witten, Rodger J. McNab, Yingying Wen, Nidal A. Al-Dmour, Jeff Kettle, Tudur Wyn David, T. Jesper Jacobsson, Christopher J. Headleand and David J. Harper. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Energy and IEEE Access.
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.