Austin Abrams

422 total citations
14 papers, 255 citations indexed

About

Austin Abrams is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Austin Abrams has authored 14 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Austin Abrams's work include Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Vision and Imaging (4 papers). Austin Abrams is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Vision and Imaging (4 papers). Austin Abrams collaborates with scholars based in United States and Germany. Austin Abrams's co-authors include Robert Pless, Nathan Jacobs, Andrew D. Richardson, B. H. Braswell, Ross A. Coleman, Michael P. Marsh, Wah Chiu, Tao Ju, Matthew L. Baker and Corey F. Hryc and has published in prestigious journals such as Journal of Structural Biology, ACM Transactions on Multimedia Computing Communications and Applications and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Austin Abrams

14 papers receiving 250 citations

Peers

Austin Abrams
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 108
  • Molecular Biology 62
  • Structural Biology 57
  • Materials Chemistry 39
  • Ecology 36
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Shizheng Wang China
Wesam H. Alsabban Saudi Arabia
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Ivan Vidović Croatia
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Eraldo Ribeiro United States View profile →
Citations per field, relative to Austin Abrams
Austin Abrams · 1×
Citations per year, relative to Austin Abrams
Austin Abrams · 1×

Countries citing papers authored by Austin Abrams

Since Specialization
Citations

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

Fields of papers citing papers by Austin Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Austin Abrams

This figure shows the co-authorship network connecting the top 25 collaborators of Austin Abrams. A scholar is included among the top collaborators of Austin Abrams 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 Austin Abrams. Austin Abrams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 29
2 7
3 4
4 4
5 6
6 18
7 9
8 12
9 77
10 3
11 3
12 5
13 10
14 68

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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