Stephen Rudolph

424 total citations
8 papers, 295 citations indexed

About

Stephen Rudolph is a scholar working on Epidemiology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Stephen Rudolph has authored 8 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Stephen Rudolph's work include Data-Driven Disease Surveillance (6 papers), Data Visualization and Analytics (3 papers) and COVID-19 epidemiological studies (2 papers). Stephen Rudolph is often cited by papers focused on Data-Driven Disease Surveillance (6 papers), Data Visualization and Analytics (3 papers) and COVID-19 epidemiological studies (2 papers). Stephen Rudolph collaborates with scholars based in United States. Stephen Rudolph's co-authors include David S. Ebert, Ross Maciejewski, Ryan Hafen, William S. Cleveland, Shaun J. Grannis, Mourad Ouzzani, Mostafa Yakout, Margaret Mitchell, Courtney D. Corley and Michael Wade and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Journal of Visual Languages & Computing.

In The Last Decade

Stephen Rudolph

7 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Rudolph United States	6	177	69	68	59	41	8	295
Abish Malik United States	12	256 1.4×	40 0.6×	103 1.5×	77 1.3×	47 1.1×	30	430
Shehzad Afzal United States	10	189 1.1×	68 1.0×	95 1.4×	40 0.7×	13 0.3×	19	461
Morteza Karimzadeh United States	10	49 0.3×	50 0.7×	137 2.0×	63 1.1×	54 1.3×	28	357
Rongjian Lan United States	4	174 1.0×	24 0.3×	80 1.2×	92 1.6×	16 0.4×	5	265
SungYe Kim United States	9	110 0.6×	18 0.3×	40 0.6×	18 0.3×	32 0.8×	13	284
Miloš Krstajić Germany	10	292 1.6×	9 0.1×	124 1.8×	94 1.6×	44 1.1×	16	419
Andreas Olligschlaeger United States	7	68 0.4×	44 0.6×	72 1.1×	29 0.5×	23 0.6×	13	304
Dirk Hecker Germany	8	74 0.4×	15 0.2×	28 0.4×	49 0.8×	97 2.4×	18	220
Sathya Prasad United States	6	27 0.2×	30 0.4×	54 0.8×	76 1.3×	179 4.4×	8	343
Blake Shaw United States	8	117 0.7×	13 0.2×	141 2.1×	46 0.8×	98 2.4×	16	400

Countries citing papers authored by Stephen Rudolph

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Rudolph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Rudolph

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Rudolph. A scholar is included among the top collaborators of Stephen Rudolph 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 Stephen Rudolph. Stephen Rudolph 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:

8 of 8 papers shown

1.

Rudolph, Stephen, et al.. (2020). Enhancing Design Students’ Comfort and Versatility in the Shop: A Project-Based Approach. 24.523.1–24.523.39.

2.

Maciejewski, Ross, et al.. (2011). A pandemic influenza modeling and visualization tool. Journal of Visual Languages & Computing. 22(4). 268–278. 49 indexed citations

3.

Maciejewski, Ross, Ryan Hafen, Stephen Rudolph, et al.. (2010). Forecasting Hotspots—A Predictive Analytics Approach. IEEE Transactions on Visualization and Computer Graphics. 17(4). 440–453. 58 indexed citations

4.

Maciejewski, Ross, Travis W. Drake, Stephen Rudolph, Abish Malik, & David S. Ebert. (2010). Data Aggregation and Analysis for Cancer Statistics - A Visual Analytics Approach. 12. 1–5. 4 indexed citations

5.

Maciejewski, Ross, Ryan Hafen, Stephen Rudolph, et al.. (2009). Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques. IEEE Computer Graphics and Applications. 29(3). 18–28. 16 indexed citations

6.

Maciejewski, Ross, Stephen Rudolph, Ryan Hafen, et al.. (2009). A Visual Analytics Approach to Understanding Spatiotemporal Hotspots. IEEE Transactions on Visualization and Computer Graphics. 16(2). 205–220. 110 indexed citations

7.

Rudolph, Stephen, et al.. (2009). FinVis: Applied visual analytics for personal financial planning. 195–202. 39 indexed citations

8.

Maciejewski, Ross, Stephen Rudolph, Ryan Hafen, et al.. (2008). Understanding syndromic hotspots - a visual analytics approach. 80. 35–42. 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.

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