Tim McCarthy

1.8k citations
88 papers · 1.2k indexed · h-index 19
Topics
Remote Sensing and LiDAR Applications (24 papers)3D Surveying and Cultural Heritage (16 papers)Automated Road and Building Extraction (8 papers)

In The Last Decade

Tim McCarthy

81 papers receiving 1.2k citations

Peers

Tim McCarthy
Comparison fields: 5 of 148
  • Environmental Engineering 516
  • Geology 278
  • Ecology 214
  • Oceanography 135
  • Ocean Engineering 132
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Carl Salvaggio United States
Κωνσταντίνος Καράντζαλος Greece
Rami Al‐Ruzouq United Arab Emirates
Kwon‐Ho Lee South Korea
Claudio Delrieux Argentina
Duk‐jin Kim South Korea
Jonathan P. Stewart United States
Zhiyuan Ren China
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Citations per field
00.5×3.6×
Carl Salvaggio · 1×
Citations per year

Countries citing papers authored by Tim McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Tim McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Tim McCarthy. A scholar is included among the top collaborators of Tim McCarthy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim McCarthy. Tim McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 11
4 1
5 6
6 4
7 5
8 1
9 22
10 1
11
Demonstration of the Acquisition and Caching for the Mars Sample Return Missions
1
12
European Road Safety Inspection (EuRSI) Research Project
2
13 58
14
Linear Feature Extraction of Buildings from Terrestrial LIDAR Data with Morphological Techniques
4
15 0
16
Integration of dynamic LiDAR and image sensor data for route corridor mapping
0
17
Compact Airborne Image Mapping System (CAIMS)
5
18 86
19
Real-time Mapping using Multispectral Spaceborne Videography: Prototype Design for the ISS Encompassing Space and Ground Segment
0
20 32

About Tim McCarthy

Tim McCarthy is a scholar working on Geology, Environmental Engineering and History and Philosophy of Science, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (24 papers), 3D Surveying and Cultural Heritage (16 papers) and Automated Road and Building Extraction (8 papers). The work is most often cited by research in Geology (278 citations), Environmental Engineering (516 citations) and Earth-Surface Processes (88 citations). Tim McCarthy has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Conor P. McElhinney, Paul Lewis, Pankaj Kumar, Conor Cahalane, Gema Casal, Paul Harris, Xavier Monteys, John D. Hedley, Dagmar B. Stengel and Seamus Coveney. Their work appears in journals such as NeuroImage, Journal of Abnormal Psychology and Journal of Environmental Management.

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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