Janet Johnson

459 total citations
15 papers, 258 citations indexed

About

Janet Johnson is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Surgery. According to data from OpenAlex, Janet Johnson has authored 15 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 4 papers in Surgery. Recurrent topics in Janet Johnson's work include Augmented Reality Applications (8 papers), Virtual Reality Applications and Impacts (7 papers) and Surgical Simulation and Training (4 papers). Janet Johnson is often cited by papers focused on Augmented Reality Applications (8 papers), Virtual Reality Applications and Impacts (7 papers) and Surgical Simulation and Training (4 papers). Janet Johnson collaborates with scholars based in United States and China. Janet Johnson's co-authors include Nadir Weibel, Thomas J. Sharkey, Konrad Davis, Michael C. Yip, Xinming Zhang, Ru Wang, Pamela M. Choi, Matthew D. Tadlock, Vijay M. Ravindra and Venktesh R. Ramnath and has published in prestigious journals such as Surgery, Applied Nursing Research and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Janet Johnson

13 papers receiving 248 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Janet Johnson United States 9 153 128 78 40 19 15 258
Christopher N. Andrews United States 7 86 0.6× 54 0.4× 81 1.0× 63 1.6× 9 0.5× 12 329
Tony Tien United Kingdom 6 37 0.2× 62 0.5× 178 2.3× 31 0.8× 15 0.8× 8 317
Amine Chellali France 12 112 0.7× 109 0.9× 206 2.6× 97 2.4× 41 2.2× 33 403
Randi Q. Mao Canada 4 59 0.4× 59 0.5× 130 1.7× 78 1.9× 20 1.1× 7 301
Aaron Kotranza United States 12 87 0.6× 134 1.0× 42 0.5× 25 0.6× 36 1.9× 20 329
Geoffrey Tien Canada 12 88 0.6× 150 1.2× 221 2.8× 65 1.6× 75 3.9× 16 477
Irene H. Suh United States 9 61 0.4× 29 0.2× 166 2.1× 89 2.2× 21 1.1× 20 274
David Defriend United Kingdom 4 74 0.5× 54 0.4× 218 2.8× 93 2.3× 44 2.3× 6 361
Rosanna Maria Viglialoro Italy 8 200 1.3× 106 0.8× 206 2.6× 167 4.2× 22 1.2× 16 421
Jackie Cha United States 10 25 0.2× 43 0.3× 170 2.2× 92 2.3× 30 1.6× 39 397

Countries citing papers authored by Janet Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Janet Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Johnson

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

All Works

15 of 15 papers shown
1.
Johnson, Janet, et al.. (2025). Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work. Proceedings of the ACM on Human-Computer Interaction. 9(7). 1–33.
3.
Lifset, Ella T., Kemeberly Charles, Emilia Farcas, et al.. (2023). Ascertaining Whether an Intelligent Voice Assistant Can Meet Older Adults’ Health-Related Needs in the Context of a Geriatrics 5Ms Framework. Gerontology and Geriatric Medicine. 9. 2622244210–2622244210. 1 indexed citations
5.
Tadlock, Matthew D., Erik J. Olson, Michael Krzyżaniak, et al.. (2022). Mixed reality surgical mentoring of combat casualty care related procedures in a perfused cadaver model: Initial results of a randomized feasibility study. Surgery. 172(5). 1337–1345. 12 indexed citations
6.
Johnson, Janet, Thomas J. Sharkey, Ru Wang, et al.. (2021). ARTEMIS: A Collaborative Mixed-Reality System for Immersive Surgical Telementoring. 1–14. 87 indexed citations
8.
Weibel, Nadir, Janet Johnson, Thomas J. Sharkey, et al.. (2020). ARTEMIS: Mixed-Reality Environment for Immersive Surgical Telementoring. 1–4. 32 indexed citations
9.
Johnson, Janet, et al.. (2019). Designing Family-Centered Aids for the Intensive Care Unit. 1–6. 1 indexed citations
10.
Johnson, Janet, et al.. (2019). What You Sketch Is What You Get. 1–6. 31 indexed citations
11.
Johnson, Janet, et al.. (2019). PintAR. 17–20. 10 indexed citations
12.
Johnson, Janet, et al.. (2019). Nurture-Empower-Support. 119–128. 2 indexed citations
13.
Johnson, Janet, et al.. (2018). HoloCPR. 67–76. 12 indexed citations
14.
Johnson, Janet, et al.. (2018). Real-time guidance for cardiopulmonary resuscitation in Mixed Reality. 3 indexed citations
15.
Johnson, Janet, et al.. (2014). A practical application of Katharine Kolcaba's comfort theory to cardiac patients. Applied Nursing Research. 27(2). 147–150. 43 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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