Alex Endert

4.7k total citations
98 papers, 2.8k citations indexed

About

Alex Endert is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Alex Endert has authored 98 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 14 papers in Information Systems and Management. Recurrent topics in Alex Endert's work include Data Visualization and Analytics (75 papers), Video Analysis and Summarization (20 papers) and Scientific Computing and Data Management (13 papers). Alex Endert is often cited by papers focused on Data Visualization and Analytics (75 papers), Video Analysis and Summarization (20 papers) and Scientific Computing and Data Management (13 papers). Alex Endert collaborates with scholars based in United States, United Kingdom and Canada. Alex Endert's co-authors include Chris North, Christopher Andrews, Bahador Saket, John Stasko, Emily Wall, Eric D. Ragan, Hannah Kim, Arjun Srinivasan, Remco Chang and Eli T. Brown and has published in prestigious journals such as PLoS ONE, Computer and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Alex Endert

96 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Endert United States 29 2.1k 923 502 341 333 98 2.8k
Michael Sedlmair Germany 30 2.5k 1.1× 1.2k 1.3× 389 0.8× 176 0.5× 392 1.2× 141 3.5k
Nathalie Henry Riche United States 32 2.4k 1.1× 706 0.8× 797 1.6× 261 0.8× 302 0.9× 69 3.4k
Petra Isenberg France 33 2.6k 1.2× 601 0.7× 983 2.0× 290 0.9× 249 0.7× 83 3.4k
Zhicheng Liu United States 24 1.8k 0.8× 809 0.9× 174 0.3× 216 0.6× 424 1.3× 73 2.4k
Ji Soo Yi United States 20 1.2k 0.6× 440 0.5× 405 0.8× 208 0.6× 195 0.6× 58 2.0k
Robert Kosara United States 28 1.8k 0.9× 692 0.7× 218 0.4× 102 0.3× 315 0.9× 73 2.5k
Michael Burch Germany 26 2.0k 0.9× 551 0.6× 661 1.3× 88 0.3× 415 1.2× 158 2.6k
Mira Dontcheva United States 34 2.0k 0.9× 762 0.8× 521 1.0× 274 0.8× 188 0.6× 76 3.8k
Pierre Dragicevic France 27 1.6k 0.8× 480 0.5× 693 1.4× 124 0.4× 306 0.9× 59 2.4k
Ramana Rao United States 18 1.5k 0.7× 799 0.9× 445 0.9× 318 0.9× 432 1.3× 33 2.6k

Countries citing papers authored by Alex Endert

Since Specialization
Citations

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

Fields of papers citing papers by Alex Endert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Endert

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Endert. A scholar is included among the top collaborators of Alex Endert 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 Alex Endert. Alex Endert 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.
Guo, Shunan, et al.. (2025). Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe With ProvenanceLens. IEEE Transactions on Visualization and Computer Graphics. 31(10). 8452–8465. 2 indexed citations
2.
Endert, Alex, et al.. (2024). BiasBuzz: Combining Visual Guidance with Haptic Feedback to Increase Awareness of Analytic Behavior during Visual Data Analysis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–7. 2 indexed citations
3.
El‐Assady, Mennatallah, et al.. (2024). ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1235–1245. 2 indexed citations
4.
Tandon, Animesh, et al.. (2024). MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. PubMed. 2024. 1861–1874. 1 indexed citations
5.
Endert, Alex, et al.. (2023). KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts. IEEE Transactions on Visualization and Computer Graphics. 30(9). 6520–6532. 11 indexed citations
6.
Chang, Remco, et al.. (2023). Preliminary Guidelines for Combining Data Integration and Visual Data Analysis. IEEE Transactions on Visualization and Computer Graphics. 30(10). 6678–6690. 1 indexed citations
7.
Behrisch, Michael, Rita Borgo, Duen Horng Chau, et al.. (2021). The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications. 41(6). 7–12. 27 indexed citations
8.
Endert, Alex, et al.. (2021). VAINE: Visualization and AI for Natural Experiments. 21–25. 2 indexed citations
9.
Kim, Hannah, Barry Drake, Alex Endert, & Haesun Park. (2020). ArchiText: Interactive Hierarchical Topic Modeling. IEEE Transactions on Visualization and Computer Graphics. 27(9). 3644–3655. 22 indexed citations
10.
Saket, Bahador, et al.. (2020). Geono-Cluster: Interactive Visual Cluster Analysis for Biologists. IEEE Transactions on Visualization and Computer Graphics. 27(12). 4401–4412. 10 indexed citations
11.
Gleicher, Michael, et al.. (2020). QUESTO: Interactive Construction of Objective Functions for Classification Tasks. Computer Graphics Forum. 39(3). 153–165. 5 indexed citations
12.
Lee, Bongshin, Katherine E. Isaacs, Danielle Albers Szafir, et al.. (2019). Broadening Intellectual Diversity in Visualization Research Papers. IEEE Computer Graphics and Applications. 39(4). 78–85. 14 indexed citations
13.
Saket, Bahador & Alex Endert. (2019). Demonstrational Interaction for Data Visualization. IEEE Computer Graphics and Applications. 39(3). 67–72. 8 indexed citations
14.
Saket, Bahador, Alex Endert, & Çağatay Demiralp. (2018). Task-Based Effectiveness of Basic Visualizations. IEEE Transactions on Visualization and Computer Graphics. 25(7). 2505–2512. 99 indexed citations
15.
Brown, Eli T., et al.. (2018). ModelSpace: Visualizing the Trails of Data Models in Visual Analytics Systems. 11. 1–11. 9 indexed citations
16.
Saket, Bahador, Arjun Srinivasan, Eric D. Ragan, & Alex Endert. (2017). Evaluating Interactive Graphical Encodings for Data Visualization. IEEE Transactions on Visualization and Computer Graphics. 24(3). 1316–1330. 25 indexed citations
17.
Saket, Bahador, Alex Endert, & Çağatay Demiralp. (2017). Data and Task Based Effectiveness of Basic Visualizations.. arXiv (Cornell University). 3 indexed citations
18.
Endert, Alex, et al.. (2012). Semantic Interaction for Sensemaking: Inferring Analytical Reasoning for Model Steering. IEEE Transactions on Visualization and Computer Graphics. 18(12). 2879–2888. 92 indexed citations
19.
Endert, Alex, et al.. (2011). Visual encodings that support physical navigation on large displays. Graphics Interface. 103–110. 20 indexed citations
20.
Fink, Glenn, Christopher L. North, Alex Endert, & Stuart Rose. (2009). Visualizing cyber security: Usable workspaces. 45–56. 61 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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