Philip Moore
Impact in
-
- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
-
- Context-Aware Activity Recognition Systems 35
- Co-authors
- Bin Hu (33 shared papers)Junsheng Pu (11 shared papers)Lihui Wang (14 shared papers)Göran Adamson (14 shared papers)Magnus Holm (13 shared papers)Jihong Wang (2 shared papers)Xiaowei Zhang (6 shared papers)Xiaoyu Yang (2 shared papers)
- Journals
- Control Engineering Practice (3 papers)Anthropological Forum (3 papers)Mechatronics (3 papers)Robotics and Computer-Integrated Manufacturing (2 papers)Applied Sciences (2 papers)
- Partner nations
- United KingdomChinaSweden
In The Last Decade
Philip Moore
160 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 149
- Industrial and Manufacturing Engineering 510
- Cognitive Neuroscience 464
- Human-Computer Interaction 125
- Experimental and Cognitive Psychology 277
- Management of Technology and Innovation 152
Countries citing papers authored by Philip Moore
This map shows the geographic impact of Philip Moore'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 Philip Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Moore more than expected).
Fields of papers citing papers by Philip Moore
This network shows the impact of papers produced by Philip Moore. 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 Philip Moore. The network helps show where Philip Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Moore, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 162 | |
| 2 | 1999 | 143 | |
| 3 | 2013 | 119 | |
| 4 | 2008 | 102 | |
| 5 | 2015 | 88 | |
| 6 | 2016 | 79 | |
| 7 | 2017 | 71 | |
| 8 | 2001 | 70 | |
| 9 | 2016 | 64 | |
| 10 | 2014 | 63 | |
| 11 | 2009 | 61 | |
| 12 | 2015 | 57 | |
| 13 | 2015 | 55 | |
| 14 | 2012 | 54 | |
| 15 | 2011 | 52 | |
| 16 | 2011 | 52 | |
| 17 | 2017 | 51 | |
| 18 | 2012 | 50 | |
| 19 | 2015 | 48 | |
| 20 | 2015 | 45 |
About Philip Moore
Philip Moore is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Industrial and Manufacturing Engineering, having authored 169 papers that have together received 2.7k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (35 papers), Manufacturing Process and Optimization (16 papers), EEG and Brain-Computer Interfaces (14 papers), Flexible and Reconfigurable Manufacturing Systems (14 papers), IoT and Edge/Fog Computing (10 papers), Data Management and Algorithms (9 papers), Scheduling and Optimization Algorithms (8 papers) and Mobile Learning in Education (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (510 citations), Cognitive Neuroscience (464 citations), Human-Computer Interaction (125 citations), Experimental and Cognitive Psychology (277 citations) and Management of Technology and Innovation (152 citations). Philip Moore has collaborated with scholars based in United Kingdom, China and Sweden. Frequent co-authors include Bin Hu, Junsheng Pu, Lihui Wang, Göran Adamson, Magnus Holm, Jihong Wang, Xiaowei Zhang, Xiaoyu Yang, Hai Van Pham and Amos H.C. Ng. Their work appears in journals such as Control Engineering Practice, Anthropological Forum, Mechatronics, Robotics and Computer-Integrated Manufacturing and Applied Sciences.
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.