Steven Farrell

1.7k total citations
14 papers, 93 citations indexed

About

Steven Farrell is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Hardware and Architecture. According to data from OpenAlex, Steven Farrell has authored 14 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Nuclear and High Energy Physics and 3 papers in Hardware and Architecture. Recurrent topics in Steven Farrell's work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (6 papers) and Advanced Data Storage Technologies (5 papers). Steven Farrell is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (6 papers) and Advanced Data Storage Technologies (5 papers). Steven Farrell collaborates with scholars based in United States, Switzerland and France. Steven Farrell's co-authors include P. Calafiura, Samuel Williams, Jean-Roch Vlimant, C. Leggett, Wahid Bhimji, Thorsten Kurth, Mayur Mudigonda, Aristeidis Tsaris, G. B. Cerati and Yunsong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chemical Information and Modeling and Computational Materials Science.

In The Last Decade

Steven Farrell

14 papers receiving 91 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Farrell United States 6 39 27 24 15 12 14 93
Y. Iiyama Japan 4 61 1.6× 44 1.6× 11 0.5× 21 1.4× 5 0.4× 10 126
G. B. Cerati United States 5 31 0.8× 25 0.9× 11 0.5× 10 0.7× 6 0.5× 17 69
L. Gray United States 6 39 1.0× 19 0.7× 10 0.4× 7 0.5× 8 0.7× 10 72
J. Kieseler Switzerland 6 115 2.9× 42 1.6× 12 0.5× 15 1.0× 6 0.5× 15 159
M. S. Neubauer United States 6 35 0.9× 19 0.7× 29 1.2× 10 0.7× 4 0.3× 22 82
Panagiotis Spentzouris United States 3 27 0.7× 54 2.0× 6 0.3× 4 0.3× 5 0.4× 10 82
A. Gheaţă Switzerland 5 56 1.4× 11 0.4× 8 0.3× 9 0.6× 6 0.5× 13 89
T. K. Aarrestad Switzerland 6 83 2.1× 59 2.2× 9 0.4× 22 1.5× 6 0.5× 8 148
C. Stuart United Kingdom 6 81 2.1× 21 0.8× 14 0.6× 4 0.3× 32 2.7× 11 105
P. Calafiura United States 10 122 3.1× 45 1.7× 128 5.3× 9 0.6× 8 0.7× 37 240

Countries citing papers authored by Steven Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Steven Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Farrell

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

All Works

14 of 14 papers shown
1.
Ding, Nan, Brian Austin, Steven Farrell, et al.. (2024). A Workflow Roofline Model for End-to-End Workflow Performance Analysis. eScholarship (California Digital Library). 1–15. 1 indexed citations
2.
Li, Chunhui, Steven Farrell, Benjamin Gilbert, & Piotr Zarzycki. (2024). Deep neural network surrogate for surface complexation model of metal oxide/electrolyte interface. Computational Materials Science. 238. 112932–112932. 3 indexed citations
3.
Li, Chunhui, Benjamin Gilbert, Steven Farrell, & Piotr Zarzycki. (2023). Rapid Prediction of a Liquid Structure from a Single Molecular Configuration Using Deep Learning. Journal of Chemical Information and Modeling. 63(12). 3742–3750. 3 indexed citations
4.
Ibrahim, Khaled Z., Tan Nguyen, Hai Ah Nam, et al.. (2021). Architectural Requirements for Deep Learning Workloads in HPC Environments. eScholarship (California Digital Library). 7–17. 12 indexed citations
5.
Wang, Yunsong, et al.. (2020). Time-Based Roofline for Deep Learning Performance Analysis. 10–19. 10 indexed citations
6.
Kiehn, M., P. Calafiura, Steven Farrell, et al.. (2019). The TrackML high-energy physics tracking challenge on Kaggle. SHILAP Revista de lepidopterología. 214. 6037–6037. 4 indexed citations
7.
Farrell, Steven, Wahid Bhimji, Thorsten Kurth, et al.. (2019). Next Generation Generative Neural Networks for HEP. SHILAP Revista de lepidopterología. 214. 9005–9005. 5 indexed citations
8.
Tsaris, Aristeidis, Dustin Anderson, J. Bendavid, et al.. (2018). The HEP.TrkX Project: Deep Learning for Particle Tracking. Journal of Physics Conference Series. 1085. 42023–42023. 12 indexed citations
9.
Rousseau, D., P. Calafiura, Steven Farrell, et al.. (2018). The TrackML challenge. SPIRE - Sciences Po Institutional REpository. 1–23. 2 indexed citations
10.
Farrell, Steven, P. Calafiura, C. Leggett, V. Tsulaia, & A. Dotti. (2017). Multi-threaded ATLAS simulation on Intel Knights Landing processors. Journal of Physics Conference Series. 898. 42012–42012. 3 indexed citations
11.
Farrell, Steven, Dustin Anderson, P. Calafiura, et al.. (2017). The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking. SHILAP Revista de lepidopterología. 150. 3–3. 22 indexed citations
12.
Leggett, C., J. T. Baines, T. Bołd, et al.. (2017). AthenaMT: upgrading the ATLAS software framework for the many-core world with multi-threading. Journal of Physics Conference Series. 898. 42009–42009. 11 indexed citations
13.
Braun, N., P. Calafiura, Steven Farrell, et al.. (2017). Track reconstruction at LHC as a collaborative data challenge use case with RAMP. SHILAP Revista de lepidopterología. 150. 15–15. 4 indexed citations
14.
Calafiura, P., P. A. Delsart, M. Elsing, et al.. (2015). Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-2 analysis model. Journal of Physics Conference Series. 664(3). 32007–32007. 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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