Andrew Ware

1.9k citations
71 papers · 1.2k indexed · h-index 18

Andrew Ware

64 papers receiving 1.1k citations

Peers

Andrew Ware
Comparison fields: 5 of 142
  • Artificial Intelligence 392
  • Computer Vision and Pattern Recognition 196
  • Health Information Management 42
  • Transportation 59
  • Health Informatics 9
Replace Hong Fan with:
Hong Fan China
Hafiz Suliman Munawar Australia
Shan Suthaharan United States
Kristina P. Sinaga Taiwan
Jorge Martínez Sánchez Spain
Belal Abuhaija China
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Gonzalo Nápoles Belgium
Kashif Ahmad Qatar
Andrew Ware relative to Hong Fan China Hong Fan's profile →
Citations per field
00.5×1.5×2.2×
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Citations per year

Countries citing papers authored by Andrew Ware

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Andrew Ware Line = papers co-authored together Andrew Ware links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20232
3
Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform
20201
4 202011
5 20201
6 20200
7 201976
8 20193
9 2018181
10 200954
11
The Dynamic Spatial Disaggregation Approach: A Spatio-Temporal Modelling of Crime
20077
12 200766
13
Proceedings of the 2006 International Conference on Internet Computing & Conference on Computer Games Development, ICOMP 2006
20064
14 20061
15 200321
16
Simulated annealing and genetic algorithms applied to finishing mill optimisation for hot rolling of wide steel strip
200212
17 20021
18 19972
19 199715
20
Parallel algorithms for determining the visibility index of digital elevation models
19962

About Andrew Ware

Andrew Ware is a scholar working on Geography, Planning and Development, Signal Processing and Computer Vision and Pattern Recognition, 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), Image Retrieval and Classification Techniques (3 papers), Geochemistry and Geologic Mapping (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Artificial Intelligence (392 citations), Computer Vision and Pattern Recognition (196 citations) and Health Information Management (42 citations). Andrew Ware has collaborated with scholars based in United Kingdom, Jordan and Uganda. Frequent co-authors include William Wasswa, Johnes Obungoloch, Annabella Habinka Basaza‐Ejiri, Ian Wilson, 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, 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.

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