John T. Kelso

12 papers receiving 225 citations

Peers

John T. Kelso
Comparison fields: 5 of 61
  • Human-Computer Interaction 154
  • Computer Vision and Pattern Recognition 72
  • Information Systems 49
  • Information Systems and Management 33
  • Computer Graphics and Computer-Aided Design 32
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Countries citing papers authored by John T. Kelso

Since Specialization
Citations

This map shows the geographic impact of John T. Kelso'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 John T. Kelso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Kelso more than expected).

Fields of papers citing papers by John T. Kelso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Kelso. 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 John T. Kelso. The network helps show where John T. Kelso may publish in the future.

Co-authorship network of co-authors of John T. Kelso

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 2
3 18
4 11
5
Quantitative, Interactive Measurement of Tissue Engineering Scaffold Structure in an Immersive Visualization Environment | NIST
1
6
Quantitative, Interactive Measurement of Tissue Engineering Scaffold Structure in an Immersive Visualization Environment
1
7
DIVERSE: A Framework for Building Extensible and Reconfigurable Device Independent Virtual Environments | NIST
3
8 51
9 30
10
Effects of Active Exploration and Passive Observation onSpatial Learning in a CAVE
6
11
DIVERSE: a Software Toolkit to Integrate Distributed Simulations with Heterogeneous Virtual Environments
10
12 125

About John T. Kelso

John T. Kelso is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 260 indexed citations. Recurring topics across this work include Augmented Reality Applications (4 papers), Interactive and Immersive Displays (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Human-Computer Interaction (154 citations), Computer Graphics and Computer-Aided Design (32 citations) and Information Systems and Management (33 citations). John T. Kelso has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include H. Rex Hartson, José Carlos Castillo, Steven G. Satterfield, R. D. Kriz, Adele P. Peskin, John G. Hagedorn, Judith E. Terrill, Joy P. Dunkers, Doug A. Bowman and Howard Hung. Their work appears in journals such as PRESENCE Virtual and Augmented Reality, Journal of Research of the National Institute of Standards and Technology and VTechWorks (Virginia Tech).

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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