Philip Bailey

1.4k citations
34 papers · 535 indexed · h-index 13

Impact in

Papers in

    • Experimental Learning in Engineering 14
    • Robotics and Sensor-Based Localization 5
    • Space Exploration and Technology 4
    • Space Satellite Systems and Control 4

Philip Bailey

30 papers receiving 501 citations

Peers

Philip Bailey
Comparison fields: 5 of 73
  • Media Technology 260
  • Hardware and Architecture 89
  • Architecture 17
  • Computer Science Applications 39
  • Soil Science 58
Replace V. Judson Harward with:
V. Judson Harward United States
Joseph L. Jones United States
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Xiaomin Jin China
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Citations per field
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009154
2 200876
3 200949
4 201530
5 201329
6 201319
7 202018
8 200917
9 201015
10 202214
11 201014
12 201212
13 201712
14 200512
15 201311
16 201210
17 20118
18
Understanding Physical Concepts using an Immersive Virtual Learning Environment
20127
19 20167
20 20204

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 34 papers that have together received 535 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (14 papers), Planetary Science and Exploration (9 papers), Cloud Computing and Remote Desktop Technologies (8 papers), Astro and Planetary Science (5 papers), Robotics and Sensor-Based Localization (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 (260 citations), Hardware and Architecture (89 citations), Architecture (17 citations), Computer Science Applications (39 citations) and Soil Science (58 citations). Philip Bailey has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Kimberly DeLong, V. Judson Harward, James Hardison, Daniele Tonina, Jim McKean, Amar Nayegandhi, C. Wayne Wright, Pablo Orduña, Diego López–de–Ipiña and Javier García-Zubía. Their work appears in journals such as The Cleft Palate-Craniofacial Journal, Earth Surface Processes and Landforms, Remote Sensing, Computers in Human Behavior and Water.

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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