Andrew Ware
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- Neural Networks and Applications 12
- AI in cancer detection 6
- Fuzzy Logic and Control Systems 4
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Ian Wilson (14 shared papers)Johnes Obungoloch (6 shared papers)Annabella Habinka Basaza‐Ejiri (6 shared papers)William Wasswa (7 shared papers)Jonathan Corcoran (7 shared papers)Gary Higgs (5 shared papers)Chris Brunsdon (3 shared papers)B. B. Sabir (2 shared papers)
- Journals
- Knowledge-Based Systems (3 papers)Sensors (3 papers)Computers & Geosciences (2 papers)Neural Computing and Applications (2 papers)The Professional Geographer (1 paper)
- Partner nations
- United KingdomUgandaJordan
In The Last Decade
Andrew Ware
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 443
- Health Information Management 49
- Computer Vision and Pattern Recognition 215
- Health Informatics 13
- Transportation 64
Countries citing papers authored by Andrew Ware
This map shows the geographic impact of Andrew Ware'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 Andrew Ware with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Ware more than expected).
Fields of papers citing papers by Andrew Ware
This network shows the impact of papers produced by Andrew Ware. 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 Andrew Ware. The network helps show where Andrew Ware may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Ware, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 203 | |
| 2 | 2003 | 101 | |
| 3 | 2019 | 82 | |
| 4 | 2003 | 81 | |
| 5 | 2002 | 78 | |
| 6 | 2007 | 70 | |
| 7 | 2001 | 64 | |
| 8 | 2009 | 57 | |
| 9 | 2019 | 57 | |
| 10 | 2007 | 44 | |
| 11 | 2021 | 42 | |
| 12 | 1997 | 32 | |
| 13 | 2015 | 26 | |
| 14 | 2003 | 26 | |
| 15 | 2020 | 25 | |
| 16 | 2002 | 24 | |
| 17 | 1997 | 23 | |
| 18 | 1999 | 23 | |
| 19 | 2003 | 22 | |
| 20 | 2020 | 18 |
About Andrew Ware
Andrew Ware is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Data Management and Algorithms (7 papers), AI in cancer detection (6 papers), Geographic Information Systems Studies (6 papers), Fuzzy Logic and Control Systems (4 papers), Anomaly Detection Techniques and Applications (4 papers), Constraint Satisfaction and Optimization (4 papers) and Crime Patterns and Interventions (4 papers). The work is most often cited by research in Artificial Intelligence (443 citations), Health Information Management (49 citations), Computer Vision and Pattern Recognition (215 citations), Health Informatics (13 citations) and Transportation (64 citations). Andrew Ware has collaborated with scholars based in United Kingdom, Uganda and Jordan. Frequent co-authors include Ian Wilson, Johnes Obungoloch, Annabella Habinka Basaza‐Ejiri, William Wasswa, Jonathan Corcoran, Gary Higgs, Chris Brunsdon, B. B. Sabir, Jiping Bai and S. Wild. Their work appears in journals such as Knowledge-Based Systems, Sensors, Computers & Geosciences, Neural Computing and Applications and The Professional Geographer.
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.