Jeremy S. Smith

2.9k citations
135 papers · 1.9k indexed · h-index 22
Topics
Video Surveillance and Tracking Methods (23 papers)Human Pose and Action Recognition (14 papers)Advanced Neural Network Applications (14 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryApplied Energy

In The Last Decade

Jeremy S. Smith

124 papers receiving 1.8k citations

Peers

Jeremy S. Smith
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 535
  • Plant Science 519
  • Electrical and Electronic Engineering 332
  • Artificial Intelligence 294
  • Analytical Chemistry 257
Replace Grzegorz Cielniak with:
Grzegorz Cielniak United Kingdom
Jian Hou China
Mohammed Abo‐Zahhad Egypt
Inkyu Sa Australia
Dah-Jye Lee United States
Chris McCool United States
Flavio Prieto Colombia
Dean Zhao China
Filipe Neves dos Santos Portugal
Jeremy S. Smith relative to Grzegorz Cielniak United Kingdom Grzegorz Cielniak's profile →
Citations per field
00.5×1.5×2.1×
Grzegorz Cielniak · 1×
Citations per year

Countries citing papers authored by Jeremy S. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy S. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy S. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy S. Smith. A scholar is included among the top collaborators of Jeremy S. Smith 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 Jeremy S. Smith. Jeremy S. Smith 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
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14 19
15 16
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19 36
20 22

About Jeremy S. Smith

Jeremy S. Smith is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Ocean Engineering, having authored 135 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (23 papers), Human Pose and Action Recognition (14 papers) and Advanced Neural Network Applications (14 papers). The work is most often cited by research in Analytical Chemistry (257 citations), Computer Vision and Pattern Recognition (535 citations) and Plant Science (519 citations). Jeremy S. Smith has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Abdigal Camargo, Shiyang Yan, Bailing Zhang, J. Lucas, Wenjin Lu, Qinghua Wu, Ka Lok Man, Zhigang Lu, Fangyu Wu and Stamatios Giannoukos. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Applied Energy.

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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