Sean Ahern

1.5k total citations · 1 hit paper
27 papers, 850 citations indexed

About

Sean Ahern is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Sean Ahern has authored 27 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 7 papers in Information Systems and Management. Recurrent topics in Sean Ahern's work include Data Visualization and Analytics (13 papers), Computer Graphics and Visualization Techniques (7 papers) and Scientific Computing and Data Management (7 papers). Sean Ahern is often cited by papers focused on Data Visualization and Analytics (13 papers), Computer Graphics and Visualization Techniques (7 papers) and Scientific Computing and Data Management (7 papers). Sean Ahern collaborates with scholars based in United States, Germany and United Kingdom. Sean Ahern's co-authors include Ren Ng, Mike Houston, James T. Klosowski, Greg Humphreys, Randall Frank, P. D. Kirchner, Hank Childs, Gunther H. Weber, David Pugmire and Christoph Garth and has published in prestigious journals such as ACM Transactions on Graphics, Computer and Review of Scientific Instruments.

In The Last Decade

Sean Ahern

25 papers receiving 763 citations

Hit Papers

Chromium 2002 2026 2010 2018 2002 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chromium
    2002 381 citations Greg Humphreys, Mike Houston et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Ahern United States 11 428 318 272 167 146 27 850
Tom Peterka United States 17 396 0.9× 295 0.9× 340 1.3× 178 1.1× 84 0.6× 58 987
Mark J. Kilgard United Kingdom 13 564 1.3× 625 2.0× 241 0.9× 282 1.7× 39 0.3× 22 1.2k
Jared Hoberock United States 9 426 1.0× 407 1.3× 89 0.3× 72 0.4× 18 0.1× 10 757
Patrick Hanrahan United States 12 540 1.3× 126 0.4× 227 0.8× 194 1.2× 20 0.1× 23 891
S. Parker United States 12 278 0.6× 335 1.1× 190 0.7× 116 0.7× 11 0.1× 16 683
Erik Lindholm United States 6 295 0.7× 208 0.7× 736 2.7× 814 4.9× 7 0.0× 6 1.4k
Ken Joy United States 12 266 0.6× 200 0.6× 51 0.2× 15 0.1× 24 0.2× 37 521
Guido Reina Germany 16 418 1.0× 226 0.7× 59 0.2× 25 0.1× 74 0.5× 77 770
Louis Bavoil United States 13 601 1.4× 493 1.6× 139 0.5× 20 0.1× 13 0.1× 18 881

Countries citing papers authored by Sean Ahern

Since Specialization
Citations

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

Fields of papers citing papers by Sean Ahern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Ahern

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Ahern. A scholar is included among the top collaborators of Sean Ahern 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 Sean Ahern. Sean Ahern 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.
Duque, Earl P., et al.. (2016). NASA CFD Vision 2030 Visualization and Knowledge Extraction: Panel Summary from AIAA AVIATION 2015 Conference. 54th AIAA Aerospace Sciences Meeting. 5 indexed citations
2.
Huang, Jian, et al.. (2013). Contrasting Climate Ensembles: A Model-based Visualization Approach for Analyzing Extreme Events. Procedia Computer Science. 18. 2347–2356. 4 indexed citations
3.
Huang, Jian, et al.. (2012). Data Analysis and Visualization in High-Performance Computing. Computer. 46(5). 84–92. 3 indexed citations
4.
Meredith, Jeremy S., et al.. (2012). A distributed data-parallel framework for analysis and visualization algorithm development. 11–19. 10 indexed citations
5.
Ahrens, James, John Patchett, David Pugmire, & Sean Ahern. (2010). Parallel visualization and analysis with paraview on a Cray XT4. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
6.
Childs, Hank, David Pugmire, Sean Ahern, et al.. (2010). Extreme Scaling of Production Visualization Software on Diverse Architectures. IEEE Computer Graphics and Applications. 30(3). 22–31. 51 indexed citations
7.
Barrett, Richard Frederick, et al.. (2009). A Taxonomy of MPI-Oriented Usage Models in Parallelized Scientific Codes.. Software Engineering Research and Practice. 223–229. 5 indexed citations
8.
Garth, Christoph, Sean Ahern, Hank Childs, et al.. (2009). Vector Field Visual Data Analysis Technologies for Petascale Computational Science. eScholarship (California Digital Library). 1(14). 1 indexed citations
9.
Rübel, Oliver, Prabhat, Kesheng Wu, et al.. (2008). High performance multivariate visual data exploration for extremely large data. IEEE International Conference on High Performance Computing, Data, and Analytics. 51. 29 indexed citations
10.
Ahern, Sean, et al.. (2008). Chromium Renderserver: Scalable and Open Remote Rendering Infrastructure. IEEE Transactions on Visualization and Computer Graphics. 14(3). 627–639. 11 indexed citations
11.
Humphreys, Greg, Mike Houston, Ren Ng, et al.. (2008). Chromium. 1–10. 1 indexed citations
12.
Huang, Jian, et al.. (2008). Visualizing Temporal Patterns in Large Multivariate Data using Modified Globbing. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1467–1474. 29 indexed citations
13.
Jaeger, E. F., L. A. Berry, E. D’Azevedo, et al.. (2008). Simulation of high-power electromagnetic wave heating in the ITER burning plasma. Physics of Plasmas. 15(7). 36 indexed citations
14.
Rübel, Oliver, Peter Messmer, Hans Hagen, et al.. (2008). High performance multivariate visual data exploration for extremely large data. eScholarship (California Digital Library). 1–12. 20 indexed citations
15.
Ahern, Sean, et al.. (2008). Parallel Analysis and Visualization on Cray Compute Node Linux. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
16.
Bethel, Wes, Chris R. Johnson, Charles Hansen, et al.. (2008). VACET: Proposed SciDAC2 Visualization and Analytics Center for Enabling Technologies - eScholarship. 1 indexed citations
17.
Joy, Kenneth I., Mark Carl Miller, Hank Childs, et al.. (2007). Frameworks for visualization at the extreme scale. Journal of Physics Conference Series. 78. 12035–12035. 2 indexed citations
18.
Ahern, Sean. (2007). Petascale visual data analysis in a production computing environment. Journal of Physics Conference Series. 78. 12002–12002. 3 indexed citations
19.
Humphreys, Greg, Mike Houston, Ren Ng, et al.. (2002). Chromium. ACM Transactions on Graphics. 21(3). 693–702. 115 indexed citations
20.
Ahern, Sean, et al.. (1992). Development of a Unix/VME data acquisition system. Review of Scientific Instruments. 63(1). 863–864. 1 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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