Michelle A. Borkin

2.8k total citations · 1 hit paper
48 papers, 1.5k citations indexed

About

Michelle A. Borkin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Michelle A. Borkin has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Sociology and Political Science. Recurrent topics in Michelle A. Borkin's work include Data Visualization and Analytics (30 papers), Multimedia Communication and Technology (9 papers) and Video Analysis and Summarization (6 papers). Michelle A. Borkin is often cited by papers focused on Data Visualization and Analytics (30 papers), Multimedia Communication and Technology (9 papers) and Video Analysis and Summarization (6 papers). Michelle A. Borkin collaborates with scholars based in United States, Mexico and United Kingdom. Michelle A. Borkin's co-authors include Hanspeter Pfister, Zoya Bylinskii, Aude Oliva, Phillip Isola, Alyssa Goodman, Chelsea Yeh, Nam Wook Kim, J. E. Pineda, Jens Kauffmann and Constance M. Bainbridge and has published in prestigious journals such as Nature, The Astrophysical Journal and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Michelle A. Borkin

45 papers receiving 1.4k citations

Hit Papers

What Makes a Visualization Memorable? 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. What Makes a Visualization Memorable?
    2013 385 citations Michelle A. Borkin, Zoya Bylinskii et al. IEEE Transactions on Visualization and Computer Graphics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle A. Borkin United States 13 731 262 226 208 160 48 1.5k
Fernando Loizides United Kingdom 10 69 0.1× 203 0.8× 74 0.3× 135 0.6× 45 0.3× 58 1.1k
A. Bottino Italy 34 437 0.6× 1.2k 4.5× 61 0.3× 103 0.5× 34 0.2× 170 3.3k
Pietro Pantano Italy 24 122 0.2× 36 0.1× 45 0.2× 269 1.3× 255 1.6× 127 1.8k
Richard Harvey United Kingdom 23 670 0.9× 34 0.1× 129 0.6× 193 0.9× 194 1.2× 110 2.2k
Nikos Angelos Salingaros United States 25 80 0.1× 97 0.4× 74 0.3× 42 0.2× 116 0.7× 162 2.1k
Katherine K. Perkins United States 32 68 0.1× 24 0.1× 81 0.4× 122 0.6× 91 0.6× 85 3.9k
Mathias Frisch Germany 17 109 0.1× 100 0.4× 128 0.6× 124 0.6× 93 0.6× 58 838
Roman V. Yampolskiy United States 21 294 0.4× 104 0.4× 55 0.2× 452 2.2× 130 0.8× 123 1.5k
Nahum Gershon United States 20 486 0.7× 8 0.0× 90 0.4× 193 0.9× 120 0.8× 80 1.4k
A. Goswami India 23 114 0.2× 33 0.1× 14 0.1× 182 0.9× 44 0.3× 86 1.7k

Countries citing papers authored by Michelle A. Borkin

Since Specialization
Citations

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

Fields of papers citing papers by Michelle A. Borkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle A. Borkin. 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 Michelle A. Borkin. The network helps show where Michelle A. Borkin may publish in the future.

Co-authorship network of co-authors of Michelle A. Borkin

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle A. Borkin. A scholar is included among the top collaborators of Michelle A. Borkin 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 Michelle A. Borkin. Michelle A. Borkin 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.
Yildirim, Caglar, et al.. (2024). Barriers to Photosensitive Accessibility in Virtual Reality. 1–13. 7 indexed citations
2.
3.
Joshi, Alark, Alvitta Ottley, Benjamin Bach, et al.. (2024). Toward a More Comprehensive Understanding of Visualization Literacy. 1–7. 5 indexed citations
4.
5.
Yildirim, Caglar, et al.. (2023). Exploratory Thematic Analysis of Crowdsourced Photosensitivity Warnings. 1–7. 4 indexed citations
6.
Pandey, Aditeya, Sehi L’Yi, Qianwen Wang, Michelle A. Borkin, & Nils Gehlenborg. (2022). GenoREC: A Recommendation System for Interactive Genomics Data Visualization. IEEE Transactions on Visualization and Computer Graphics. 29(1). 570–580. 12 indexed citations
7.
Borkin, Michelle A., et al.. (2022). Photosensitive Accessibility for Interactive Data Visualizations. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 6 indexed citations
8.
Saffo, David, et al.. (2022). Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review. OSF Preprints (OSF Preprints). 10 indexed citations
9.
Saffo, David, et al.. (2022). Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review. Computer Graphics Forum. 41(3). 43–55. 69 indexed citations
10.
Saffo, David, et al.. (2021). Detecting and Defending Against Seizure-Inducing GIFs in Social Media. 1–17. 11 indexed citations
11.
Saffo, David, Nicholas A. Bond, Cody Dunne, et al.. (2021). Scalable Scalable Vector Graphics: Automatic Translation of Interactive SVGs to a Multithread VDOM for Fast Rendering. IEEE Transactions on Visualization and Computer Graphics. 28(9). 3219–3234. 8 indexed citations
12.
Pandey, Aditeya, et al.. (2021). A State-of-the-Art Survey of Tasks for Tree Design and Evaluation With a Curated Task Dataset. IEEE Transactions on Visualization and Computer Graphics. 28(10). 3563–3584. 9 indexed citations
13.
Anderson, Lauren, Anders Ynnerman, Alexander Böck, et al.. (2021). Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth. Computer Graphics Forum. 40(3). 635–663. 7 indexed citations
14.
Saffo, David, et al.. (2020). Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation. Computer Graphics Forum. 39(3). 455–468. 3 indexed citations
15.
Dunne, Cody, et al.. (2019). Scalable Scalable Vector Graphics. OSF Preprints (OSF Preprints). 1 indexed citations
16.
Kim, Nam Wook, Zoya Bylinskii, Michelle A. Borkin, et al.. (2017). BubbleView: an alternative to eye-tracking for crowdsourcing image importance. arXiv (Cornell University). 2 indexed citations
17.
Beaumont, Chris, Thomas Robitaille, & Michelle A. Borkin. (2014). Glue: Linked data visualizations across multiple files. Astrophysics Source Code Library. 3 indexed citations
18.
Borkin, Michelle A., et al.. (2011). Visualization and Analysis of Synthetic Observations of Embedded Protostellar Outflows. AAS. 217. 3 indexed citations
19.
Foster, Jonathan B., Erik Rosolowsky, Jens Kauffmann, et al.. (2009). DENSE CORES IN PERSEUS: THE INFLUENCE OF STELLAR CONTENT AND CLUSTER ENVIRONMENT. The Astrophysical Journal. 696(1). 298–319. 42 indexed citations
20.
Goodman, Alyssa, Erik Rosolowsky, Michelle A. Borkin, et al.. (2008). A role for self-gravity at multiple length scales in the process of star formation. Nature. 457(7225). 63–66. 80 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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