Christopher E. Smith

654 citations
26 papers · 409 · h-index 9

Impact in

Papers in

Christopher E. Smith

25 papers receiving 386 citations

Peers

Christopher E. Smith
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 173
  • Ecological Modeling 26
  • Parasitology 39
  • Nature and Landscape Conservation 69
  • Virology 26
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Nathan W. Fuller United States
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Citations per field
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Citations per year

Countries citing papers authored by Christopher E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. Smith. 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 Christopher E. Smith. The network helps show where Christopher E. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016167
2 199665
3 199724
4 200220
5 200217
6 200416
7 200514
8 201213
9 200211
10 20027
11 20047
12 20167
13 20047
14
DETECTION AND TRACKING OF TRAFFIC OBJECTS IN IVHS VISION SENSING MODALITIES
19955
15 20025
16 20024
17 20024
18 20123
19 20233
20 19983

About Christopher E. Smith

Christopher E. Smith is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Automotive Engineering and Global and Planetary Change, having authored 26 papers that have together received 409 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (7 papers), Image Processing Techniques and Applications (6 papers), Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Medical Image Segmentation Techniques (4 papers), Image and Object Detection Techniques (3 papers) and Amphibian and Reptile Biology (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Ecological Modeling (26 citations), Parasitology (39 citations), Nature and Landscape Conservation (69 citations) and Virology (26 citations). Christopher E. Smith has collaborated with scholars based in United States and India. Frequent co-authors include Nikos Papanikolopoulos, Scott Brandt, Terence M. Farrell, Steven J. Price, Anne E. Ballmann, Joshua M. Kapfer, Brad M. Glorioso, Susan Knowles, James F. X. Wellehan and Krysten L. Schuler. Their work appears in journals such as IEEE Transactions on Robotics and Automation, Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Wildlife Diseases, Industrial Robot the international journal of robotics research and application and IEEE Transactions on Vehicular Technology.

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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