Andrew McNutt

519 total citations
18 papers, 212 citations indexed

About

Andrew McNutt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Andrew McNutt has authored 18 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Andrew McNutt's work include Data Visualization and Analytics (5 papers), Software Engineering Research (2 papers) and Computational Drug Discovery Methods (2 papers). Andrew McNutt is often cited by papers focused on Data Visualization and Analytics (5 papers), Software Engineering Research (2 papers) and Computational Drug Discovery Methods (2 papers). Andrew McNutt collaborates with scholars based in United States, Austria and Mexico. Andrew McNutt's co-authors include Alex M. Clark, Sean Ekins, George M. Grass, Robert C. Reynolds, Joel S. Freundlich, Steven M. Drucker, Robert DeLine, Jane L. Adams, Sara Di Bartolomeo and Mennatallah El‐Assady and has published in prestigious journals such as Journal of Chemical Information and Modeling, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Andrew McNutt

15 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew McNutt United States 7 57 43 39 37 29 18 212
André Nascimento Brazil 8 153 2.7× 15 0.3× 160 4.1× 73 2.0× 6 0.2× 40 320
Kimberle Koile United States 7 98 1.7× 32 0.7× 64 1.6× 14 0.4× 6 0.2× 13 244
Mengqi Luo China 7 30 0.5× 11 0.3× 51 1.3× 47 1.3× 6 0.2× 20 194
Davide Gadioli Italy 7 61 1.1× 11 0.3× 52 1.3× 20 0.5× 10 0.3× 20 167
René Rahn Germany 5 34 0.6× 12 0.3× 145 3.7× 67 1.8× 17 0.6× 6 235
Dandan Huang China 7 86 1.5× 115 2.7× 114 2.9× 17 0.5× 14 0.5× 8 329
Kensuke Baba Japan 9 17 0.3× 31 0.7× 21 0.5× 71 1.9× 17 0.6× 53 237
Kurt De Grave Belgium 7 61 1.1× 37 0.9× 88 2.3× 112 3.0× 11 0.4× 14 294
Abraham Heifets Canada 7 33 0.6× 9 0.2× 43 1.1× 30 0.8× 3 0.1× 8 141
Konstantinos Pliakos Belgium 9 111 1.9× 45 1.0× 103 2.6× 96 2.6× 3 0.1× 21 290

Countries citing papers authored by Andrew McNutt

Since Specialization
Citations

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

Fields of papers citing papers by Andrew McNutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew McNutt

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

All Works

18 of 18 papers shown
1.
McNutt, Andrew, et al.. (2025). Critical Data Visualization—Part I. IEEE Computer Graphics and Applications. 45(3). 14–16.
2.
McNutt, Andrew, et al.. (2025). Accessible Text Descriptions for UpSet Plots. Computer Graphics Forum. 44(3).
3.
McNutt, Andrew, et al.. (2024). How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study. 1–22. 13 indexed citations
4.
McNutt, Andrew, Maureen Stone, & Jeffrey Heer. (2024). Mixing Linters with GUIs: A Color Palette Design Probe. IEEE Transactions on Visualization and Computer Graphics. 31(1). 327–337. 2 indexed citations
5.
Kale, Alex, et al.. (2024). What Can Interactive Visualization Do for Participatory Budgeting in Chicago?. IEEE Transactions on Visualization and Computer Graphics. 31(1). 415–425.
6.
McNutt, Andrew, et al.. (2024). Considering Visualization Example Galleries. 329–343. 1 indexed citations
7.
Bartolomeo, Sara Di, et al.. (2023). Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models. Computer Graphics Forum. 42(3). 423–435. 26 indexed citations
8.
McNutt, Andrew, et al.. (2023). On the Design of AI-powered Code Assistants for Notebooks. 1–16. 41 indexed citations
9.
McNutt, Andrew & Ravi Chugh. (2023). Projectional Editors for JSON-Based DSLs. 60–70. 2 indexed citations
10.
McNutt, Andrew, et al.. (2023). Metrics-Based Evaluation and Comparison of Visualization Notations. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 2 indexed citations
11.
McNutt, Andrew, et al.. (2023). A Study of Editor Features in a Creative Coding Classroom. 1–15. 7 indexed citations
12.
McNutt, Andrew. (2022). No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 16 indexed citations
13.
McNutt, Andrew, Kevin Bryson, Yuxin Chen, et al.. (2022). Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 521–531. 1 indexed citations
14.
15.
16.
McNutt, Andrew, Anamaria Crisan, & Michael Correll. (2020). Divining Insights: Visual Analytics Through Cartomancy. 1–16. 4 indexed citations
17.
Ekins, Sean, et al.. (2018). Data Mining and Computational Modeling of High-Throughput Screening Datasets. Methods in molecular biology. 1755. 197–221. 9 indexed citations
18.
Clark, Alex M., Andrew McNutt, George M. Grass, et al.. (2015). Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets. Journal of Chemical Information and Modeling. 55(6). 1231–1245. 86 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by André Nascimento Breakdown of academic impact, for papers by Kimberle Koile Breakdown of academic impact, for papers by Mengqi Luo Breakdown of academic impact, for papers by Davide Gadioli Breakdown of academic impact, for papers by René Rahn Breakdown of academic impact, for papers by Dandan Huang Breakdown of academic impact, for papers by Kensuke Baba Breakdown of academic impact, for papers by Kurt De Grave Breakdown of academic impact, for papers by Abraham Heifets Breakdown of academic impact, for papers by Konstantinos Pliakos
Rankless by CCL
2026