Chris Bryan

788 total citations
38 papers, 508 citations indexed

About

Chris Bryan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chris Bryan has authored 38 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Chris Bryan's work include Data Visualization and Analytics (17 papers), Complex Network Analysis Techniques (4 papers) and Data Analysis with R (3 papers). Chris Bryan is often cited by papers focused on Data Visualization and Analytics (17 papers), Complex Network Analysis Techniques (4 papers) and Data Analysis with R (3 papers). Chris Bryan collaborates with scholars based in United States, China and Colombia. Chris Bryan's co-authors include Kwan‐Liu Ma, Kwan-Liu Ma, Jonathan Woodring, Jennifer L. Freeman, Li Lin, Oscar F. Sánchez, Chris Yuan, Senthil Chandrasegaran, Jian Zhao and Yaoxue Zhang and has published in prestigious journals such as Environmental Pollution, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Chris Bryan

34 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Bryan United States 14 249 142 77 52 36 38 508
Theresa O'Connell United States 11 256 1.0× 218 1.5× 65 0.8× 11 0.2× 35 1.0× 20 525
Bingquan Liu China 18 96 0.4× 615 4.3× 54 0.7× 121 2.3× 9 0.3× 90 884
Shih-Hung Wu Taiwan 16 107 0.4× 687 4.8× 31 0.4× 101 1.9× 11 0.3× 87 865
Irfan Ullah Pakistan 11 88 0.4× 135 1.0× 14 0.2× 9 0.2× 13 0.4× 37 356
Souneil Park Spain 11 189 0.8× 125 0.9× 155 2.0× 4 0.1× 31 0.9× 26 602
Мириам Реди United Kingdom 12 184 0.7× 94 0.7× 50 0.6× 15 0.3× 11 0.3× 47 368
Patrick Riehmann Germany 8 202 0.8× 105 0.7× 38 0.5× 19 0.4× 1 0.0× 21 421
Shunan Guo United States 12 331 1.3× 193 1.4× 34 0.4× 23 0.4× 4 0.1× 27 483
Ting Liu China 21 180 0.7× 1.2k 8.5× 15 0.2× 85 1.6× 10 0.3× 74 1.4k
Purvi Saraiya United States 10 464 1.9× 161 1.1× 80 1.0× 135 2.6× 2 0.1× 13 657

Countries citing papers authored by Chris Bryan

Since Specialization
Citations

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

Fields of papers citing papers by Chris Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Bryan

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Bryan. A scholar is included among the top collaborators of Chris Bryan 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 Chris Bryan. Chris Bryan 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
1.
Kwon, Bum Chul, et al.. (2025). PromptAid: Visual Prompt Exploration, Perturbation, Testing and Iteration for Large Language Models. IEEE Transactions on Visualization and Computer Graphics. 31(10). 6946–6962. 3 indexed citations
2.
Padilla, Lace, et al.. (2024). Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1169–1179.
3.
Wang, Xumeng, et al.. (2024). Defogger: A Visual Analysis Approach for Data Exploration of Sensitive Data Protected by Differential Privacy. IEEE Transactions on Visualization and Computer Graphics. 31(1). 448–458. 1 indexed citations
4.
Padilla, Lace, et al.. (2023). Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 6 indexed citations
5.
6.
Sharma, S., et al.. (2023). LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity. Computer Graphics Forum. 42(3). 409–421. 1 indexed citations
7.
Sankar, Lalitha, et al.. (2022). PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–10. 7 indexed citations
8.
Kwon, Bum Chul, et al.. (2022). ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective. IEEE Transactions on Visualization and Computer Graphics. 29(1). 831–841. 27 indexed citations
9.
Zhao, Jian, et al.. (2021). ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives. IEEE Transactions on Visualization and Computer Graphics. 29(2). 1384–1399. 29 indexed citations
10.
Plasencia, Jonathan D., et al.. (2021). Phoenix Virtual Heart: A Hybrid VR-Desktop Visualization System for Cardiac Surgery Planning and Education. 36–40. 4 indexed citations
11.
Wang, Xumeng, et al.. (2020). Umbra: A Visual Analysis Approach for Defense Construction Against Inference Attacks on Sensitive Information. IEEE Transactions on Visualization and Computer Graphics. 28(7). 2776–2790. 5 indexed citations
12.
Bryan, Chris, et al.. (2020). Analyzing gaze behavior for text-embellished narrative visualizations under different task scenarios. Visual Informatics. 4(3). 41–50. 9 indexed citations
13.
Lin, Li, et al.. (2020). Pre-differentiation exposure to low-dose of atrazine results in persistent phenotypic changes in human neuronal cell lines. Environmental Pollution. 271. 116379–116379. 25 indexed citations
14.
Lin, Li, et al.. (2020). Low dose lead exposure induces alterations on heterochromatin hallmarks persisting through SH-SY5Y cell differentiation. Chemosphere. 264(Pt 1). 128486–128486. 21 indexed citations
15.
Sánchez, Oscar F., et al.. (2019). Profiling epigenetic changes in human cell line induced by atrazine exposure. Environmental Pollution. 258. 113712–113712. 36 indexed citations
16.
Bryan, Chris, et al.. (2018). Building Blocks of Collaboration: A Variety of Coaching Roles Can Strengthen Teams.. 39(6). 54.
17.
Bryan, Chris, et al.. (2017). Navigable Videos for Presenting Scientific Data on Affordable Head-Mounted Displays. 250–260. 7 indexed citations
18.
Bryan, Chris, Kwan‐Liu Ma, Harris A. Lewin, et al.. (2016). Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution. IEEE Transactions on Visualization and Computer Graphics. 23(1). 711–720. 6 indexed citations
19.
Bryan, Chris, Kwan-Liu Ma, & Jonathan Woodring. (2016). Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement. IEEE Transactions on Visualization and Computer Graphics. 23(1). 511–520. 72 indexed citations
20.
Bryan, Chris, et al.. (2010). Online Community becomes a Pathway to Teacher Leadership. ˜The œJournal of staff development. 31(1). 42–47. 6 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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