Eli T. Brown

768 total citations
18 papers, 518 citations indexed

About

Eli T. Brown is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Eli T. Brown has authored 18 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Eli T. Brown's work include Data Visualization and Analytics (8 papers), Radiology practices and education (4 papers) and Data Analysis with R (3 papers). Eli T. Brown is often cited by papers focused on Data Visualization and Analytics (8 papers), Radiology practices and education (4 papers) and Data Analysis with R (3 papers). Eli T. Brown collaborates with scholars based in United States. Eli T. Brown's co-authors include Remco Chang, Alex Endert, Carla E. Brodley, Jingjing Liu, Bahador Saket, Hannah Kim, Evan M. Peck, Richard Souvenir, Daniel Afergan and Erin Solovey and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Digital Imaging and Knowledge Discovery and Data Mining.

In The Last Decade

Eli T. Brown

18 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eli T. Brown United States	8	329	174	71	70	67	18	518
Ben Steichen United States	12	322 1.0×	204 1.2×	30 0.4×	45 0.6×	38 0.6×	32	581
Greg L. Nelson United States	9	214 0.7×	132 0.8×	40 0.6×	83 1.2×	32 0.5×	18	676
Roland Fernandez United States	8	342 1.0×	125 0.7×	64 0.9×	34 0.5×	30 0.4×	10	497
Dereck Toker Canada	12	305 0.9×	158 0.9×	24 0.3×	48 0.7×	27 0.4×	18	451
Boon Low United Kingdom	5	593 1.8×	67 0.4×	100 1.4×	29 0.4×	44 0.7×	9	814
Nicholas Kong United States	7	455 1.4×	176 1.0×	98 1.4×	37 0.5×	27 0.4×	12	565
Dmitry Lagun United States	14	159 0.5×	145 0.8×	44 0.6×	69 1.0×	93 1.4×	29	758
Shiry Ginosar United States	9	459 1.4×	120 0.7×	55 0.8×	30 0.4×	12 0.2×	14	661
Wen Wu China	11	255 0.8×	252 1.4×	66 0.9×	23 0.3×	13 0.2×	43	583
Heidi Lam Canada	10	370 1.1×	121 0.7×	92 1.3×	17 0.2×	46 0.7×	17	508

Countries citing papers authored by Eli T. Brown

Since Specialization

Citations

This map shows the geographic impact of Eli T. Brown'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 Eli T. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli T. Brown more than expected).

Fields of papers citing papers by Eli T. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli T. Brown. 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 Eli T. Brown. The network helps show where Eli T. Brown may publish in the future.

Co-authorship network of co-authors of Eli T. Brown

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Correll, Michael, et al.. (2024). Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. 1–14. 1 indexed citations

Cao, Fang, et al.. (2021). DocTable: Table-Oriented Interactive Machine Learning for Text Corpora. 1–11. 1 indexed citations

Deng, Jiahao, et al.. (2021). FacetRules: Discovering and Describing Related Groups. 21–26. 3 indexed citations

Cao, Fang & Eli T. Brown. (2020). DRIL: Descriptive Rules by Interactive Learning. 256–260. 6 indexed citations

Rasin, Alexander, Jun Hyuk Son, Sung‐Min Kim, et al.. (2020). Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. Journal of Digital Imaging. 33(3). 797–813. 3 indexed citations

Rasin, Alexander, et al.. (2019). Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. 372–383. 2 indexed citations

Brown, Eli T., et al.. (2018). ModelSpace: Visualizing the Trails of Data Models in Visual Analytics Systems. 11. 1–11. 9 indexed citations

Rasin, Alexander, Eli T. Brown, Jacob Furst, et al.. (2018). Big Data Integration Case Study for Radiology Data Sources. 195–198. 9 indexed citations

Rasin, Alexander, Eli T. Brown, Jacob Furst, et al.. (2018). Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies. 8(2). 18–43. 7 indexed citations

10.

Rasin, Alexander, Eli T. Brown, Jacob Furst, et al.. (2017). An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. Knowledge Discovery and Data Mining. 10–18. 6 indexed citations

11.

Wall, Emily, et al.. (2017). Podium: Ranking Data Using Mixed-Initiative Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 24(1). 288–297. 62 indexed citations

12.

Saket, Bahador, Hannah Kim, Eli T. Brown, & Alex Endert. (2016). Visualization by Demonstration: An Interaction Paradigm for Visual Data Exploration. IEEE Transactions on Visualization and Computer Graphics. 23(1). 331–340. 55 indexed citations

13.

Wang, Helen J., Michael Gamon, Shamsi T. Iqbal, et al.. (2015). The activity platform. 22–22. 1 indexed citations

14.

Brown, Eli T., Alvitta Ottley, J. L. Zhao, et al.. (2014). Finding Waldo: Learning about Users from their Interactions. IEEE Transactions on Visualization and Computer Graphics. 20(12). 1663–1672. 89 indexed citations

15.

Afergan, Daniel, Evan M. Peck, Erin Solovey, et al.. (2014). Dynamic difficulty using brain metrics of workload. 3797–3806. 104 indexed citations

16.

Brown, Eli T., Jingjing Liu, Carla E. Brodley, & Remco Chang. (2012). Dis-function: Learning distance functions interactively. 83–92. 137 indexed citations

17.

Liu, Jingjing, Eli T. Brown, & Remco Chang. (2011). Find distance function, hide model inference. 39. 289–290. 4 indexed citations

18.

Steinhart, Gail, Paul Albert, Kristine M. Alpi, et al.. (2008). Digital Research Data Curation: Overview of Issues, Current Activities, and Opportunities for the Cornell University Library. eCommons (Cornell University). 19 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