Thomas Uram

615 total citations
37 papers, 314 citations indexed

About

Thomas Uram is a scholar working on Computer Networks and Communications, Information Systems and Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Uram has authored 37 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 13 papers in Information Systems and Management and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Uram's work include Advanced Data Storage Technologies (17 papers), Distributed and Parallel Computing Systems (16 papers) and Scientific Computing and Data Management (13 papers). Thomas Uram is often cited by papers focused on Advanced Data Storage Technologies (17 papers), Distributed and Parallel Computing Systems (16 papers) and Scientific Computing and Data Management (13 papers). Thomas Uram collaborates with scholars based in United States, New Zealand and Israel. Thomas Uram's co-authors include Michael E. Papka, Venkatram Vishwanath, Prasanna Balaprakash, Stefan M. Wild, Mark Hereld, Kalyan Kumaran, Jiayuan Meng, Vitali Morozov, Silvio Rizzi and Joseph A. Insley and has published in prestigious journals such as Computer Physics Communications, The Astrophysical Journal Supplement Series and Multimedia Tools and Applications.

In The Last Decade

Thomas Uram

32 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Uram United States 10 126 71 61 45 44 37 314
Elena Pourmal United States 6 156 1.2× 51 0.7× 69 1.1× 22 0.5× 61 1.4× 7 346
Brad Whitlock United States 6 138 1.1× 67 0.9× 47 0.8× 116 2.6× 30 0.7× 12 329
Wahid Bhimji United States 8 103 0.8× 50 0.7× 27 0.4× 50 1.1× 60 1.4× 25 249
Eric Brugger United States 7 101 0.8× 47 0.7× 39 0.6× 93 2.1× 24 0.5× 10 232
Nathan Ellingwood United States 5 96 0.8× 13 0.2× 106 1.7× 22 0.5× 20 0.5× 6 265
Rahulkumar Gayatri United States 6 141 1.1× 15 0.2× 151 2.5× 14 0.3× 26 0.6× 16 344
Li‐Ta Lo United States 7 116 0.9× 49 0.7× 48 0.8× 72 1.6× 16 0.4× 19 242
David Beckingsale United States 12 311 2.5× 21 0.3× 325 5.3× 26 0.6× 32 0.7× 25 461
Kalyan Kumaran United States 13 365 2.9× 26 0.4× 302 5.0× 42 0.9× 73 1.7× 25 506
Jeremy Meredith United States 6 132 1.0× 38 0.5× 78 1.3× 95 2.1× 32 0.7× 8 259

Countries citing papers authored by Thomas Uram

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Uram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Uram

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Uram. A scholar is included among the top collaborators of Thomas Uram 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 Thomas Uram. Thomas Uram 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.
Welborn, Samuel S., Ryan Chard, Elizabeth Clark, et al.. (2025). Accelerating Advanced Light Source Science Through Multi-Facility HPC Workflows. eScholarship (California Digital Library). 2328–2335.
2.
Côté, Benoît, Yanfei Guo, Ryan Chard, et al.. (2025). FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access. 52–60.
3.
Smith, S. P., S. S. Denk, O. Meneghini, et al.. (2024). Expediting Higher Fidelity Plasma State Reconstructions for the DIII-D National Fusion Facility Using Leadership Class Computing Resources. eScholarship (California Digital Library). 2118–2126. 2 indexed citations
4.
Frontiere, Nicholas, Katrin Heitmann, Patricia Larsen, et al.. (2022). Farpoint: A High-resolution Cosmology Simulation at the Gigaparsec Scale. The Astrophysical Journal Supplement Series. 259(1). 15–15. 11 indexed citations
5.
Childers, J. T., et al.. (2017). Challenges in scaling NLO generators to leadership computers. Journal of Physics Conference Series. 898. 72044–72044. 2 indexed citations
6.
Childers, J. T., et al.. (2017). An Edge Service for Managing HPC Workflows. 1–8. 3 indexed citations
7.
Childers, J. T., Thomas Uram, T. LeCompte, Michael E. Papka, & B. Trocmé. (2016). Adapting the serial Alpgen parton-interaction generator to simulate LHC collisions on millions of parallel threads. Computer Physics Communications. 210. 54–59. 5 indexed citations
8.
Uram, Thomas & Michael E. Papka. (2016). Expanding the Scope of High-Performance Computing Facilities. Computing in Science & Engineering. 18(3). 84–87. 4 indexed citations
9.
Rizzi, Silvio, Mark Hereld, Joseph A. Insley, et al.. (2016). Coupling LAMMPS and the vl3 Framework for Co-Visualization of Atomistic Simulations. 1038–1042. 3 indexed citations
10.
Jiang, Jie, Mark Hereld, Joseph A. Insley, et al.. (2015). Streaming ultra high resolution images to large tiled display at nearly interactive frame rate with vl3. 133–134. 3 indexed citations
11.
Madduri, Ravi, Álex Rodríguez, Thomas Uram, et al.. (2015). PDACS: A Portal for Data Analysis Services for Cosmological Simulations. Computing in Science & Engineering. 17(5). 18–26. 2 indexed citations
12.
Childers, J. T., et al.. (2015). Simulation of LHC events on a millions threads. Journal of Physics Conference Series. 664(9). 92006–92006. 3 indexed citations
13.
Chard, Ryan, Ravi Madduri, Nicholas T. Karonis, et al.. (2015). Scalable pCT Image Reconstruction Delivered as a Cloud Service. IEEE Transactions on Cloud Computing. 6(1). 182–195. 12 indexed citations
14.
Karonis, Nicholas T., C.E. Ordoñez, B. Erdélyi, et al.. (2013). Distributed and hardware accelerated computing for clinical medical imaging using proton computed tomography (pCT). Journal of Parallel and Distributed Computing. 73(12). 1605–1612. 22 indexed citations
15.
Karonis, Nicholas T., C.E. Ordoñez, Michael E. Papka, et al.. (2012). An Analysis of a Distributed GPU Implementation of Proton Computed Tomographic (pCT) Reconstruction. 166–175. 1 indexed citations
16.
Meng, Jiayuan, Vitali Morozov, Kalyan Kumaran, Venkatram Vishwanath, & Thomas Uram. (2011). GROPHECY. 1–11. 49 indexed citations
17.
Uram, Thomas, Michael E. Papka, Mark Hereld, & Michael Wilde. (2011). A solution looking for lots of problems. 1–7. 1 indexed citations
18.
Kim, JongWon, et al.. (2009). A hybrid multicast connectivity solution for multi-party collaborative environments. Multimedia Tools and Applications. 44(1). 17–37.
19.
Wu, Wenjun, Thomas Uram, & Michael E. Papka. (2009). Web 2.0-based social informatics data grid. 1–7. 4 indexed citations
20.
Gao, Han, Ivan R. Judson, Thomas Uram, et al.. (2004). Capability matching of data streams with network services. 419–425.

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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