Frank Würthwein

7.9k total citations · 1 hit paper
50 papers, 837 citations indexed

About

Frank Würthwein is a scholar working on Computer Networks and Communications, Information Systems and Management and Nuclear and High Energy Physics. According to data from OpenAlex, Frank Würthwein has authored 50 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 21 papers in Information Systems and Management and 11 papers in Nuclear and High Energy Physics. Recurrent topics in Frank Würthwein's work include Distributed and Parallel Computing Systems (38 papers), Advanced Data Storage Technologies (29 papers) and Scientific Computing and Data Management (21 papers). Frank Würthwein is often cited by papers focused on Distributed and Parallel Computing Systems (38 papers), Advanced Data Storage Technologies (29 papers) and Scientific Computing and Data Management (21 papers). Frank Würthwein collaborates with scholars based in United States, Switzerland and Italy. Frank Würthwein's co-authors include I. Sfiligoi, B. Holzman, Parag Mhashilkar, D Bradley, Sanjay Padhi, Miron Livny, R. Pordes, Rob Gardner, T. Wenaus and Rob Quick and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and IEEE Transactions on Nuclear Science.

In The Last Decade

Frank Würthwein

39 papers receiving 813 citations

Hit Papers

The open science grid 2007 2026 2013 2019 2007 100 200 300 400
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. The open science grid
    2007 447 citations Frank Würthwein et al. Journal of Physics Conference Series profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Würthwein United States 7 376 210 124 120 92 50 837
T. Wenaus United States 11 515 1.4× 313 1.5× 129 1.0× 157 1.3× 74 0.8× 64 836
Alain Roy United States 6 411 1.1× 157 0.7× 206 1.7× 62 0.5× 90 1.0× 6 703
I. Sfiligoi United States 12 455 1.2× 218 1.0× 137 1.1× 135 1.1× 139 1.5× 79 716
K. Blackburn United States 9 439 1.2× 285 1.4× 211 1.7× 79 0.7× 95 1.0× 10 930
Bill Kramer United States 4 455 1.2× 123 0.6× 134 1.1× 64 0.5× 220 2.4× 5 791
Paul Avery United States 5 206 0.5× 130 0.6× 83 0.7× 100 0.8× 40 0.4× 8 528
John McGee United States 4 209 0.6× 142 0.7× 92 0.7× 62 0.5× 35 0.4× 5 530
R. Pordes United States 7 267 0.7× 149 0.7× 96 0.8× 257 2.1× 42 0.5× 38 741
Mike Wilde United States 12 676 1.8× 376 1.8× 370 3.0× 63 0.5× 156 1.7× 19 1.0k
Rob Quick United States 3 192 0.5× 126 0.6× 82 0.7× 63 0.5× 29 0.3× 13 475

Countries citing papers authored by Frank Würthwein

Since Specialization
Citations

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

Fields of papers citing papers by Frank Würthwein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Würthwein

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Würthwein. A scholar is included among the top collaborators of Frank Würthwein 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 Frank Würthwein. Frank Würthwein 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.
Yzquierdo, A. Pérez-Calero, et al.. (2024). Adoption of a token-based authentication model for the CMS Submission Infrastructure. SHILAP Revista de lepidopterología. 295. 4003–4003.
2.
Newman, H. B., Frank Würthwein, J. Guiang, et al.. (2024). Automated Network Services for Exascale Data Movement. SHILAP Revista de lepidopterología. 295. 1009–1009.
3.
Yzquierdo, A. Pérez-Calero, et al.. (2024). Repurposing of the Run 2 CMS High Level Trigger Infrastructure as a Cloud Resource for Offline Computing. SHILAP Revista de lepidopterología. 295. 3036–3036.
4.
Schultz, David, et al.. (2024). IceCube experience using XRootD-based Origins with GPU workflows in PNRP. SHILAP Revista de lepidopterología. 295. 11011–11011. 1 indexed citations
5.
Sfiligoi, I., et al.. (2024). CRIU - Checkpoint Restore in Userspace for computational simulations and scientific applications. SHILAP Revista de lepidopterología. 295. 7046–7046. 1 indexed citations
6.
Wu, Kesheng, Alex Sim, Inder Monga, et al.. (2024). Predicting Resource Utilization Trends with Southern California Petabyte Scale Cache. SHILAP Revista de lepidopterología. 295. 1044–1044. 2 indexed citations
7.
Sfiligoi, I., et al.. (2023). Defining a canonical unit for accounting purposes. Practice and Experience in Advanced Research Computing. 288–291.
8.
Sfiligoi, I., Daniel McDonald, Rob Knight, & Frank Würthwein. (2023). Testing GitHub projects on custom resources using unprivileged Kubernetes runners. Practice and Experience in Advanced Research Computing. 332–335. 1 indexed citations
9.
Belli, E. A., J. Candy, I. Sfiligoi, & Frank Würthwein. (2022). Comparing single-node and multi-node performance of an important fusion HPC code benchmark. arXiv (Cornell University). 2 indexed citations
10.
Gao, Richard, et al.. (2021). Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Rynge, Mats, M. Zvada, P. Paschos, et al.. (2020). Creating a content delivery network for general science on the internet backbone using XCaches. Springer Link (Chiba Institute of Technology). 5 indexed citations
12.
Würthwein, Frank, et al.. (2019). Limits of the HTCondor Transfer System. SHILAP Revista de lepidopterología. 214. 3008–3008. 1 indexed citations
13.
Bockelman, Brian, et al.. (2017). Data Access for LIGO on the OSG. 1–6. 12 indexed citations
14.
Wagner, Rick, Mahidhar Tatineni, Kenneth Yoshimoto, et al.. (2013). Using Gordon to accelerate LHC science. 1–4. 2 indexed citations
15.
Sfiligoi, I., et al.. (2011). Reducing the Human Cost of Grid Computing With glideinWMS. 217–221. 9 indexed citations
16.
Sfiligoi, I., et al.. (2011). Adapting to the Unknown With a few Simple Rules: The glideinWMS Experience. 25–28. 2 indexed citations
17.
Sfiligoi, I., et al.. (2011). Operating a production pilot factory serving several scientific domains. Journal of Physics Conference Series. 331(7). 72031–72031. 5 indexed citations
18.
Belforte, S., M. Norman, S. Sarkar, et al.. (2006). Using Condor Glide-Ins and Parrot to Move from Dedicated Ressources to the Grid.. 285–292. 1 indexed citations
19.
Wolf, A., C. Gwon, K. Honscheid, et al.. (1998). The DAQ system for CLEO III. Computer Physics Communications. 110(1-3). 91–94.
20.
Würthwein, Frank. (1995). Observation of B Decay to Two Charmless Mesons.. PhDT.

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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