Philip Bailey

1.4k citations
36 papers · 624 · h-index 15

Impact in

Papers in

    • Experimental Learning in Engineering 16
    • Robotics and Sensor-Based Localization 5
    • Space Exploration and Technology 4
    • Space Satellite Systems and Control 4

Philip Bailey

32 papers receiving 583 citations

Peers

Philip Bailey
Comparison fields: 5 of 74
  • Media Technology 310
  • Hardware and Architecture 108
  • Architecture 19
  • Human-Computer Interaction 49
  • Computer Science Applications 46
Replace V. Judson Harward with:
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Philip Bailey relative to V. Judson Harward United States V. Judson Harward's profile →
Citations per field
00.5×7.8×
V. Judson Harward · 1×
Citations per year

Countries citing papers authored by Philip Bailey

Since Specialization
Citations

This map shows the geographic impact of Philip Bailey'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 Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Bailey more than expected).

Fields of papers citing papers by Philip Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Bailey. 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 Bailey. The network helps show where Philip Bailey may publish in the future.

Co-authors

The 25 scholars most cited alongside Philip Bailey, 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 Bailey Line = papers co-authored together Philip Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009164
2 200882
3 200960
4 201539
5 201334
6 201324
7 202019
8 200919
9 201017
10 201316
11 202215
12
Understanding Physical Concepts using an Immersive Virtual Learning Environment
201215
13 201215
14 201015
15 201314
16 200512
17 201712
18 201210
19 20118
20 20168

About Philip Bailey

Philip Bailey is a scholar working on Media Technology, Aerospace Engineering, Astronomy and Astrophysics, Hardware and Architecture and Computer Networks and Communications, having authored 36 papers that have together received 624 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (16 papers), Planetary Science and Exploration (9 papers), Cloud Computing and Remote Desktop Technologies (9 papers), Robotics and Sensor-Based Localization (5 papers), Astro and Planetary Science (5 papers), Space Exploration and Technology (4 papers), Distributed and Parallel Computing Systems (4 papers) and Space Satellite Systems and Control (4 papers). The work is most often cited by research in Media Technology (310 citations), Hardware and Architecture (108 citations), Architecture (19 citations), Human-Computer Interaction (49 citations) and Computer Science Applications (46 citations). Philip Bailey has collaborated with scholars based in United States, Austria and Spain. Frequent co-authors include Kimberly DeLong, V. Judson Harward, James Hardison, Daniele Tonina, Jim McKean, C. Wayne Wright, Amar Nayegandhi, Christian Gütl, Diego López–de–Ipiña and Pablo Orduña. Their work appears in journals such as The Cleft Palate-Craniofacial Journal, Water, Computers in Human Behavior, Remote Sensing and Pattern Recognition.

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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