Robert Moorhead

2.4k citations
124 papers · 1.7k · h-index 22

Impact in

Papers in

Robert Moorhead

115 papers receiving 1.6k citations

Peers

Robert Moorhead
Comparison fields: 5 of 126
  • Computer Graphics and Computer-Aided Design 327
  • Computer Vision and Pattern Recognition 629
  • Environmental Engineering 409
  • Atmospheric Science 297
  • Media Technology 122
Replace David H. Douglas with:
David H. Douglas Canada
Kirk Martinez United Kingdom
Suresh K. Lodha United States
Borut Žalik Slovenia
Chao‐Hung Lin Taiwan
Jing Xiao China
Thomas K. Peucker Canada
Lars Harrie Sweden
Lingfei Ma China
Edward M. Riseman United States
Robert Moorhead relative to David H. Douglas Canada David H. Douglas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Moorhead

Since Specialization
Citations

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

Fields of papers citing papers by Robert Moorhead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2020110
3 200996
4 200689
5 200680
6 202062
7 201658
8 202258
9 201748
10 200448
11 201638
12 202336
13 201935
14 200931
15 201528
16 201527
17 200726
18 199626
19 202024
20 200523

About Robert Moorhead

Robert Moorhead is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Environmental Engineering, Atmospheric Science and Ecology, having authored 124 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (30 papers), Remote Sensing in Agriculture (15 papers), Remote Sensing and LiDAR Applications (14 papers), Data Visualization and Analytics (12 papers), Meteorological Phenomena and Simulations (12 papers), Advanced Vision and Imaging (11 papers), Advanced Data Compression Techniques (10 papers) and Precipitation Measurement and Analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (327 citations), Computer Vision and Pattern Recognition (629 citations), Environmental Engineering (409 citations), Atmospheric Science (297 citations) and Media Technology (122 citations). Robert Moorhead has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Sathishkumar Samiappan, P. Amburn, Jibonananda Sanyal, Jamie Dyer, Fangni Lei, Mehmet Kurum, Volkan Senyurek, Ali Cafer Gürbüz, Dylan Boyd and Alison R. Mercer. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Drones, IEEE Computer Graphics and Applications, Remote Sensing and Computing in Science & Engineering.

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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