Amos Johnson

832 total citations
11 papers, 353 citations indexed

About

Amos Johnson is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Amos Johnson has authored 11 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Amos Johnson's work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Biomedical and Engineering Education (2 papers). Amos Johnson is often cited by papers focused on Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Biomedical and Engineering Education (2 papers). Amos Johnson collaborates with scholars based in United States and Cambodia. Amos Johnson's co-authors include Aaron Bobick, Charles L. Isbell, Roszilah Hamid, Irfan Essa, Jie Sun, Edward J. Coyle, Randal Abler, Stephen Marshall, Brian Gilchrist and Frank A. Gomez and has published in prestigious journals such as Artificial Intelligence, Electrophoresis and Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).

In The Last Decade

Amos Johnson

10 papers receiving 334 citations

Peers

Amos Johnson

CVPR

BE

AI

HI

SP

Sina Samangooei United Kingdom

Kalaiarasi Sonai Muthu Malaysia

Md. Sanzidul Islam Bangladesh

Riccardo Satta Italy

Charul Bhatnagar India

Svebor Karaman United States

Sandra Ebert Germany

Savvas Argyropoulos Greece

Carlos Caetano Brazil

Sina Samangooei United Kingdom

Amos Johnson

235 ×0.9

CVPR

82 ×0.4

BE

58 ×0.7

AI

19 ×0.2

HI

77 ×1.6

SP

Citations per year, relative to Amos Johnson Amos Johnson (= 1×) peers Sina Samangooei

Countries citing papers authored by Amos Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Amos Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amos Johnson

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

All Works

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11 of 11 papers shown

1.

Rosen, Daniel, et al.. (2025). A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. 1–9.

2.

Melkers, Julia, et al.. (2020). The Social Web of Engineering Education: Knowledge Exchange in Integrated Project Teams. 25.1345.1–25.1345.21. 5 indexed citations

3.

Marshall, Stephen, et al.. (2014). The vertically integrated projects (VIP) program: leveraging faculty research interests to transform undergraduate STEM education. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 18 indexed citations

4.

Hamid, Roszilah, et al.. (2009). A novel sequence representation for unsupervised analysis of human activities. Artificial Intelligence. 173(14). 1221–1244. 68 indexed citations

5.

Hanrahan, Grady, et al.. (2007). Implementation of chemometric methodology in ACE: Predictive investigation of protein–ligand binding. Electrophoresis. 28(16). 2853–2860. 11 indexed citations

6.

Hamid, Roszilah, et al.. (2005). Unsupervised activity discovery and characterization from event-streams. Uncertainty in Artificial Intelligence. 251–258. 19 indexed citations

7.

Bobick, Aaron, et al.. (2005). Temporal integration of multiple silhouette-based body-part hypotheses. 2. II–758. 3 indexed citations

8.

Bobick, Aaron & Amos Johnson. (2005). Gait recognition using static, activity-specific parameters. 1. I–423. 203 indexed citations

9.

Johnson, Amos, Jie Sun, & Aaron Bobick. (2004). Using similarity scores from a small gallery to estimate recognition performance for larger galleries. 100–103. 23 indexed citations

10.

Johnson, Amos & Aaron Bobick. (2003). Relationship between identification metrics: expected confusion and area under a ROC curve. 3. 662–666. 2 indexed citations

11.

Bobick, Aaron & Amos Johnson. (2001). Expected Confusion as a Method of Evaluating Recognition Techniques. SMARTech Repository (Georgia Institute of Technology). 1 indexed citations

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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