Ronald Marsh

756 citations
69 papers · 546 · h-index 10

Impact in

Papers in

Ronald Marsh

52 papers receiving 511 citations

Peers

Ronald Marsh
Comparison fields: 5 of 111
  • Human-Computer Interaction 88
  • Computer Vision and Pattern Recognition 150
  • Media Technology 49
  • Neurology 31
  • Radiology, Nuclear Medicine and Imaging 72
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Jun Lv China
Sherin M. Youssef Egypt
Mark Sandler United States
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Alaaeldin El-Nouby Sweden
Rémi Cadène France
Fardin Abdali-Mohammadi Iran
Santosh Kumar Vipparthi India
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Citations per field
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Citations per year

Countries citing papers authored by Ronald Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ronald Marsh, 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 Ronald Marsh Line = papers co-authored together Ronald Marsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019116
2 200390
3 199551
4 201339
5 202237
6 202131
7 201930
8 202113
9 201410
10 20209
11 20139
12 20158
13 20178
14 20165
15 20155
16
Mechanical Design and Analysis of a 1-U CubeSat
20145
17 20154
18
Interplanetary Hitchhiking to Support Small Spacecraft Missions Beyond Earth Orbit
20134
19
The OpenOrbiter CubeSat as a System-of-Systems (SoS)
20154
20
The Development of Payload Software for a Small Spacecraft
20134

About Ronald Marsh

Ronald Marsh is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 69 papers that have together received 546 indexed citations. Recurring topics across this work include Spacecraft Design and Technology (35 papers), Satellite Communication Systems (11 papers), Space Technology and Applications (10 papers), Spacecraft Dynamics and Control (7 papers), Systems Engineering Methodologies and Applications (7 papers), Advanced Image Processing Techniques (6 papers), Technology Assessment and Management (6 papers) and Space Satellite Systems and Control (5 papers). The work is most often cited by research in Human-Computer Interaction (88 citations), Computer Vision and Pattern Recognition (150 citations), Media Technology (49 citations), Neurology (31 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Ronald Marsh has collaborated with scholars based in United States, United Arab Emirates and United Kingdom. Frequent co-authors include Fatima El Jamiy, Khan M. Iftekharuddin, Jeremy Straub, Shereen Ismail, Balvinder Wasan, Alessia Cerutti, Susan E. Ford, Naima Kaabouch, Linglin Xie and Yi Yang. Their work appears in journals such as Critical Reviews in Food Science and Nutrition, Pattern Recognition Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Hypertension and IEEE Access.

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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