David Gotz

3.9k total citations
92 papers, 2.5k citations indexed

About

David Gotz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, David Gotz has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in David Gotz's work include Data Visualization and Analytics (50 papers), Advanced Text Analysis Techniques (13 papers) and Time Series Analysis and Forecasting (11 papers). David Gotz is often cited by papers focused on Data Visualization and Analytics (50 papers), Advanced Text Analysis Techniques (13 papers) and Time Series Analysis and Forecasting (11 papers). David Gotz collaborates with scholars based in United States, China and Hong Kong. David Gotz's co-authors include Nan Cao, Michelle X. Zhou, Adam Perer, Jimeng Sun, Krist Wongsuphasawat, Zhen Wen, Harry Stavropoulos, David Borland, Charles D. Stolper and Shunan Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biophysical Journal and The Journal of Urology.

In The Last Decade

David Gotz

84 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Gotz United States	29	1.6k	909	432	213	211	92	2.5k
Wolfgang Aigner Austria	25	1.9k 1.1×	718 0.8×	730 1.7×	230 1.1×	181 0.9×	100	2.5k
Robert Kosara United States	28	1.8k 1.1×	692 0.8×	315 0.7×	310 1.5×	185 0.9×	73	2.5k
Adam Perer United States	29	1.3k 0.8×	1.1k 1.2×	317 0.7×	347 1.6×	380 1.8×	74	2.8k
Bum Chul Kwon United States	23	937 0.6×	633 0.7×	157 0.4×	204 1.0×	106 0.5×	61	1.7k
Shimei Pan United States	21	457 0.3×	1.3k 1.4×	136 0.3×	165 0.8×	352 1.7×	92	2.2k
Giuseppe Carenini Canada	34	867 0.5×	2.5k 2.7×	119 0.3×	375 1.8×	507 2.4×	174	3.6k
Kristin Cook United States	9	957 0.6×	384 0.4×	233 0.5×	127 0.6×	121 0.6×	18	1.4k
Benjamin M. Marlin United States	24	568 0.3×	1.1k 1.2×	222 0.5×	83 0.4×	596 2.8×	84	2.4k
Mirjana Ivanović Serbia	28	424 0.3×	1.5k 1.7×	360 0.8×	121 0.6×	1.1k 5.1×	246	3.4k
Ji Soo Yi United States	20	1.2k 0.7×	440 0.5×	195 0.5×	396 1.9×	163 0.8×	58	2.0k

Countries citing papers authored by David Gotz

Since Specialization

Citations

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

Fields of papers citing papers by David Gotz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gotz

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

All Works

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20 of 20 papers shown

Deal, Allison M., Hillary Heiling, Antonia V. Bennett, et al.. (2025). Use and Usefulness of Risk Prediction Tools in Urologic Surgery: Current State and Path Forward. Urology Practice. 12(4). 459–468.

Gotz, David, Hillary Heiling, Allison M. Deal, et al.. (2024). PD40-05 GIST OVERRIDES NUMERIC RISK PERCEPTION IN SURGICAL DECISION-MAKING. The Journal of Urology. 211(5S).

Borland, David, et al.. (2024). Using Counterfactuals to Improve Causal Inferences From Visualizations. IEEE Computer Graphics and Applications. 44(1). 95–104. 6 indexed citations

Gotz, David, et al.. (2023). Human–Computer Collaboration for Visual Analytics: an Agent‐based Framework. Computer Graphics Forum. 42(3). 199–210. 5 indexed citations

Gotz, David, et al.. (2023). How Does Imperfect Automatic Indexing Affect Semantic Search Performance?. 2011. 588–596. 2 indexed citations

Guo, Shunan, Zhuochen Jin, Qing Chen, et al.. (2021). Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4531–4545. 7 indexed citations

Gotz, David, et al.. (2020). A Survey on Visual Analytics of Social Media Data. UNC Libraries. 4 indexed citations

Gotz, David, et al.. (2019). Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. IEEE Transactions on Visualization and Computer Graphics. 26(1). 1–1. 23 indexed citations

Wu, Danny T Y, Annie Chen, Uba Backonja, et al.. (2018). Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation. Journal of the American Medical Informatics Association. 26(4). 314–323. 36 indexed citations

10.

Chung, Arlene E., et al.. (2018). Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mhealth and uhealth. 6(9). e174–e174. 38 indexed citations

11.

Kumar, Manish, et al.. (2017). Research gaps in routine health information system design barriers to data quality and use in low‐ and middle‐income countries: A literature review. The International Journal of Health Planning and Management. 33(1). e1–e9. 43 indexed citations

12.

Gotz, David, et al.. (2017). Adaptive Contextualization Methods for Combating Selection Bias during High-Dimensional Visualization. ACM Transactions on Interactive Intelligent Systems. 7(4). 1–23. 5 indexed citations

13.

Stolper, Charles D., Adam Perer, & David Gotz. (2014). Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics. IEEE Transactions on Visualization and Computer Graphics. 20(12). 1653–1662. 136 indexed citations

14.

Gotz, David, Fei Wang, & Adam Perer. (2014). A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data. Journal of Biomedical Informatics. 48. 148–159. 78 indexed citations

15.

Mereghetti, S., et al.. (2013). INTEGRAL detection of a SGR-like burst likely from Sgr J1745-29.. GCN. 15236. 1. 1 indexed citations

16.

Perer, Adam, David Gotz, Ben Shneiderman, Yuval Shaḥar, & Jeffrey Heer. (2012). Visual Analytics in Healthcare.. AMIA. 3 indexed citations

17.

Cao, Nan, David Gotz, Jimeng Sun, & Huamin Qu. (2011). DICON: Interactive Visual Analysis of Multidimensional Clusters. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2581–2590. 100 indexed citations

18.

Gotz, David & Ketan Mayer‐Patel. (2005). A framework for scalable delivery of digitized spaces. International Journal on Digital Libraries. 5(3). 205–218. 5 indexed citations

19.

Gotz, David, Ketan Mayer‐Patel, & Dinesh Manocha. (2002). IRW. 16. 67–76. 5 indexed citations

20.

Hodges, Larry F., Barbara O. Rothbaum, Renato D. Alarcón, et al.. (1999). A Virtual Environment for the Treatment of Chronic Combat-Related Post-Traumatic Stress Disorder. CyberPsychology & Behavior. 2(1). 7–14. 20 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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