Jim Kowalkowski

1.5k total citations
41 papers, 206 citations indexed

About

Jim Kowalkowski is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, Jim Kowalkowski has authored 41 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 21 papers in Nuclear and High Energy Physics and 9 papers in Information Systems and Management. Recurrent topics in Jim Kowalkowski's work include Advanced Data Storage Technologies (20 papers), Particle Detector Development and Performance (17 papers) and Distributed and Parallel Computing Systems (17 papers). Jim Kowalkowski is often cited by papers focused on Advanced Data Storage Technologies (20 papers), Particle Detector Development and Performance (17 papers) and Distributed and Parallel Computing Systems (17 papers). Jim Kowalkowski collaborates with scholars based in United States, Switzerland and Japan. Jim Kowalkowski's co-authors include M. Paterno, Saba Sehrish, L. Garren, G. B. Cerati, C. Green, M. Fischler, L. Gray, P. Calafiura, Jean-Roch Vlimant and R. Rechenmacher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. D and IEEE Transactions on Nuclear Science.

In The Last Decade

Jim Kowalkowski

35 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Kowalkowski United States 8 87 82 47 40 24 41 206
P. Calafiura United States 10 128 1.5× 122 1.5× 45 1.0× 41 1.0× 37 1.5× 37 240
Philippe Canal United States 7 96 1.1× 54 0.7× 25 0.5× 36 0.9× 35 1.5× 42 152
G. A. Stewart Switzerland 9 234 2.7× 98 1.2× 15 0.3× 109 2.7× 24 1.0× 49 310
L. Gerhardt United States 6 77 0.9× 60 0.7× 28 0.6× 40 1.0× 13 0.5× 15 178
W. Lavrijsen United States 7 61 0.7× 45 0.5× 104 2.2× 18 0.5× 71 3.0× 21 222
E. Suchyta United States 7 100 1.1× 31 0.4× 49 1.0× 28 0.7× 53 2.2× 17 172
Ewing Lusk United States 6 107 1.2× 47 0.6× 16 0.3× 9 0.2× 91 3.8× 12 217
P. Mató Switzerland 7 121 1.4× 170 2.1× 16 0.3× 30 0.8× 39 1.6× 20 258
P. Vande Vyvre Switzerland 8 126 1.4× 151 1.8× 14 0.3× 28 0.7× 16 0.7× 43 209
M. Thomas United Kingdom 10 65 0.7× 227 2.8× 19 0.4× 23 0.6× 16 0.7× 25 321

Countries citing papers authored by Jim Kowalkowski

Since Specialization
Citations

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

Fields of papers citing papers by Jim Kowalkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Kowalkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Kowalkowski. A scholar is included among the top collaborators of Jim Kowalkowski 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 Jim Kowalkowski. Jim Kowalkowski 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.
Aurisano, A., et al.. (2024). Graph neural network for neutrino physics event reconstruction. Physical review. D. 110(3). 1 indexed citations
2.
Hewes, V, G. B. Cerati, Jim Kowalkowski, et al.. (2023). A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. 71–81. 5 indexed citations
3.
Lee, Sunwoo, Kaiyuan Hou, Saba Sehrish, et al.. (2021). A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Computing. 110. 102877–102877. 6 indexed citations
4.
Aurisano, A., G. B. Cerati, Jim Kowalkowski, et al.. (2021). Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers. SHILAP Revista de lepidopterología. 251. 3054–3054. 7 indexed citations
5.
Schulz, H., X. Ju, Sven Leyffer, et al.. (2021). Apprentice for Event Generator Tuning. SHILAP Revista de lepidopterología. 251. 3060–3060. 13 indexed citations
6.
Otten, Matthew, et al.. (2021). Impacts of noise and structure on quantum information encoded in a quantum memory. Physical review. A. 104(1). 10 indexed citations
7.
Dorier, Matthieu, Galen Shipman, Jérôme Soumagne, et al.. (2018). Methodology for the Rapid Development of Scalable HPC Data Services. 76–87. 10 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.
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
10.
Sehrish, Saba, Jim Kowalkowski, M. Paterno, & C. Green. (2017). Python and HPC for High Energy Physics Data Analyses. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 5 indexed citations
11.
Gutsche, O., M. Cremonesi, P. Elmer, et al.. (2017). Big Data in HEP: A comprehensive use case study. Journal of Physics Conference Series. 898. 72012–72012. 4 indexed citations
12.
Zuntz, J., M. Paterno, Elise Jennings, et al.. (2014). CosmoSIS: Cosmological parameter estimation. Astrophysics Source Code Library.
13.
Canal, Philippe, et al.. (2014). High energy electromagnetic particle transportation on the GPU. Journal of Physics Conference Series. 513(5). 52013–52013. 4 indexed citations
14.
He, Jun, Jim Kowalkowski, M. Paterno, et al.. (2013). Layout-aware scientific computing: A case study using the MILC code. Journal of Computational Science. 4(6). 496–506. 1 indexed citations
15.
Kowalkowski, Jim, et al.. (2012). The art framework. Journal of Physics Conference Series. 396(2). 22020–22020. 24 indexed citations
16.
He, Jun, Jim Kowalkowski, M. Paterno, et al.. (2011). Layout-aware scientific computing. 21–24. 7 indexed citations
17.
Piccoli, Luciano, Jim Kowalkowski, James N. Simone, et al.. (2008). Lattice QCD Workflows: A Case Study. 620–625. 3 indexed citations
18.
Haney, M., H. W. K. Cheung, Zbigniew Kalbarczyk, et al.. (2005). The RTES project - BTeV, and beyond. 4 pp.–4 pp.. 2 indexed citations
19.
Bapty, Ted, H. W. K. Cheung, M. Haney, et al.. (2005). RTES demo system2004. ACM SIGBED Review. 2(3). 1–6. 5 indexed citations
20.
Kowalkowski, Jim & F. Ratnikov. (2001). CDF Run II Data File Catalog. 308–309. 2 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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