Andrew Ware
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
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- Digital Imaging for Blood Diseases
Papers in
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- Neural Networks and Applications 9
- AI in cancer detection 6
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- Digital Imaging for Blood Diseases 4
- Advanced Vision and Imaging 3
- Co-authors
- William Wasswa (6 shared papers)Annabella Habinka Basaza‐Ejiri (6 shared papers)Johnes Obungoloch (6 shared papers)Ian Wilson (9 shared papers)Jonathan Corcoran (6 shared papers)Gary Higgs (5 shared papers)Chris Brunsdon (3 shared papers)S. Wild (2 shared papers)
- Journals
- Knowledge-Based Systems (3 papers)Sensors (3 papers)Neural Computing and Applications (2 papers)Computers & Geosciences (2 papers)Injury (1 paper)
- Partner nations
- United KingdomGreeceUganda
In The Last Decade
Andrew Ware
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 392
- Computer Vision and Pattern Recognition 196
- Health Information Management 42
- Transportation 59
- Health Informatics 9
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 181 | |
| 2 | 2003 | 98 | |
| 3 | 2019 | 76 | |
| 4 | 2003 | 76 | |
| 5 | 2002 | 69 | |
| 6 | 2007 | 66 | |
| 7 | 2019 | 55 | |
| 8 | 2009 | 54 | |
| 9 | 2001 | 53 | |
| 10 | 2007 | 43 | |
| 11 | 2021 | 39 | |
| 12 | 1997 | 28 | |
| 13 | 2015 | 26 | |
| 14 | 2020 | 22 | |
| 15 | 2003 | 22 | |
| 16 | 1999 | 22 | |
| 17 | 2003 | 21 | |
| 18 | 2020 | 18 | |
| 19 | 1997 | 15 | |
| 20 | 2005 | 15 |
About Andrew Ware
Andrew Ware is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Control and Systems Engineering, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Data Management and Algorithms (6 papers), AI in cancer detection (6 papers), Geographic Information Systems Studies (5 papers), Digital Imaging for Blood Diseases (4 papers), Remote Sensing and LiDAR Applications (3 papers), Advanced Vision and Imaging (3 papers) and Crime Patterns and Interventions (3 papers). The work is most often cited by research in Artificial Intelligence (392 citations), Computer Vision and Pattern Recognition (196 citations), Health Information Management (42 citations), Transportation (59 citations) and Health Informatics (9 citations). Andrew Ware has collaborated with scholars based in United Kingdom, Greece and Uganda. Frequent co-authors include William Wasswa, Annabella Habinka Basaza‐Ejiri, Johnes Obungoloch, Ian Wilson, Jonathan Corcoran, Gary Higgs, Chris Brunsdon, S. Wild, B. B. Sabir and Jiping Bai. Their work appears in journals such as Knowledge-Based Systems, Sensors, Neural Computing and Applications, Computers & Geosciences and Injury.
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.