Philip Moore

4.3k citations
170 papers · 2.7k · h-index 27

Impact in

Papers in

Philip Moore

160 papers receiving 2.6k citations

Peers

Philip Moore
Comparison fields: 5 of 152
  • Industrial and Manufacturing Engineering 506
  • Cognitive Neuroscience 484
  • Human-Computer Interaction 128
  • Management of Technology and Innovation 151
  • Experimental and Cognitive Psychology 282
Replace Yingzi Lin with:
Yingzi Lin United States
Manfred Reichert Germany
Barbara Hayes‐Roth United States
Zhibo Pang Sweden
Rubén Morales-Menéndez Mexico
Jorge Luís Victória Barbosa Brazil
Yuansong Qiao Ireland
Frederick Hayes‐Roth United States
Catholijn M. Jonker Netherlands
Andry Rakotonirainy Australia
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Citations per field
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Citations per year

Countries citing papers authored by Philip Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 1999144
3 2013118
4 2008100
5 201588
6 201678
7 200170
8 201769
9 201664
10 201464
11 200961
12 201557
13 201254
14 201554
15 201152
16 201152
17 201750
18 201250
19 201548
20 201544

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 170 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 (15 papers), Flexible and Reconfigurable Manufacturing Systems (14 papers), IoT and Edge/Fog Computing (10 papers), Data Management and Algorithms (9 papers), Mobile Learning in Education (8 papers) and Digital Transformation in Industry (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (506 citations), Cognitive Neuroscience (484 citations), Human-Computer Interaction (128 citations), Management of Technology and Innovation (151 citations) and Experimental and Cognitive Psychology (282 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 Anthropological Forum, Mechatronics, Control Engineering Practice, IEEE Transactions on NanoBioscience and Journal of Manufacturing Systems.

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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