J. Balewski

28.1k total citations
29 papers, 162 citations indexed

About

J. Balewski is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, J. Balewski has authored 29 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 7 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in J. Balewski's work include High-Energy Particle Collisions Research (10 papers), Particle physics theoretical and experimental studies (7 papers) and Quantum Computing Algorithms and Architecture (5 papers). J. Balewski is often cited by papers focused on High-Energy Particle Collisions Research (10 papers), Particle physics theoretical and experimental studies (7 papers) and Quantum Computing Algorithms and Architecture (5 papers). J. Balewski collaborates with scholars based in United States, Switzerland and Germany. J. Balewski's co-authors include Asaf Levy, Natalia Ivanova, William Andreopoulos, Alicia Clum, Alexander Martin Geller, P. Nugent, Peter Harrington, Daan Camps, Erin McCarthy and Brian Van Essen and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

J. Balewski

25 papers receiving 161 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Balewski United States 7 56 31 29 27 19 29 162
György Mező Hungary 7 16 0.3× 20 0.6× 11 0.4× 13 0.5× 16 0.8× 30 216
A. Mott United States 4 32 0.6× 34 1.1× 123 4.2× 6 0.2× 10 0.5× 7 161
F. Pierfederici United States 9 14 0.3× 26 0.8× 5 0.2× 59 2.2× 7 0.4× 18 267
S. Otsuki Japan 11 174 3.1× 34 1.1× 17 0.6× 33 1.2× 98 5.2× 63 381
Y. Iiyama Japan 4 61 1.1× 7 0.2× 44 1.5× 2 0.1× 11 0.6× 10 126
Alessio Sclocco Netherlands 6 9 0.2× 5 0.2× 21 0.7× 8 0.3× 18 0.9× 17 117
Dustin Anderson United States 5 23 0.4× 22 0.7× 26 0.9× 3 0.1× 31 1.6× 9 98
S. Jin China 6 11 0.2× 34 1.1× 9 0.3× 20 0.7× 6 0.3× 15 157
M. Bitossi Italy 6 44 0.8× 7 0.2× 8 0.3× 3 0.1× 23 1.2× 15 105
W. Krischer Switzerland 5 34 0.6× 9 0.3× 9 0.3× 4 0.1× 14 0.7× 15 100

Countries citing papers authored by J. Balewski

Since Specialization
Citations

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

Fields of papers citing papers by J. Balewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Balewski

This figure shows the co-authorship network connecting the top 25 collaborators of J. Balewski. A scholar is included among the top collaborators of J. Balewski 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 J. Balewski. J. Balewski 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.
Balewski, J., et al.. (2024). Engineering Quantum States with Neutral Atoms. eScholarship (California Digital Library). 1221–1227.
2.
Xu, Yilun, Nam Hoai Nguyen, J. Balewski, et al.. (2024). QubiCML: ML-Powered Real-Time Quantum State Discrimination Enabling Mid-Circuit Measurements. 414–415. 1 indexed citations
3.
Balewski, J., et al.. (2024). Quantum-parallel vectorized data encodings and computations on trapped-ion and transmon QPUs. Scientific Reports. 14(1). 3435–3435. 6 indexed citations
4.
Liu, Fangli, J. Balewski, Sheng-Tao Wang, et al.. (2024). False vacuum decay and nucleation dynamics in neutral atom systems. Physical review. B.. 110(15). 4 indexed citations
5.
Bethel, E. Wes, et al.. (2023). Quantum Computing and Visualization: A Disruptive Technological Change Ahead. IEEE Computer Graphics and Applications. 43(6). 101–111. 6 indexed citations
6.
Huang, Gang, et al.. (2022). Automatic Qubit Characterization and Gate Optimization with QubiC. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(1). 1–12. 6 indexed citations
7.
Balewski, J., et al.. (2022). Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models. Frontiers in Neuroinformatics. 16. 882552–882552. 2 indexed citations
8.
Lee, Sunwoo, J. Balewski, Alex Sim, et al.. (2022). Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. 404–413. 2 indexed citations
9.
Andreopoulos, William, Alexander Martin Geller, J. Balewski, et al.. (2021). Deeplasmid: deep learning accurately separates plasmids from bacterial chromosomes. Nucleic Acids Research. 50(3). e17–e17. 33 indexed citations
10.
Lee, Sunwoo, J. Balewski, Alex Sim, et al.. (2021). Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. 322–331. 4 indexed citations
11.
Maruyama, Naoya, Nikoli Dryden, Erin McCarthy, et al.. (2020). The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism. IEEE Transactions on Parallel and Distributed Systems. 1–1. 26 indexed citations
12.
Balewski, J., Michael Betancourt, R. Corliss, et al.. (2012). Strangeness Enhancement in Cu-Cu and Au-Au Collisions at √sNN=200 GeV. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
13.
Balewski, J., Michael Betancourt, R. Corliss, et al.. (2012). Identified Hadron Compositions in p+p and Au+Au Collisions at High Transverse Momenta at √sNN=200 GeV. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
14.
Balewski, J., Michael Betancourt, R. Corliss, et al.. (2012). Directed Flow of Identified Particles in Au+Au Collisions at √SNN=200 GeV at RHIC. DSpace@MIT (Massachusetts Institute of Technology).
15.
Balewski, J., Michael Betancourt, R. Corliss, et al.. (2012). Longitudinal and transverse spin asymmetries for inclusive jet production at mid-rapidity in polarized p+p collisions at √s=200 GeV. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
16.
Balewski, J., Doug Olson, I. Sakrejda, et al.. (2012). Offloading peak processing to virtual farm by STAR experiment at RHIC. Journal of Physics Conference Series. 368. 12011–12011. 6 indexed citations
17.
Reed, R., J. Balewski, L. S. Barnby, et al.. (2010). Vertex finding in pile-up rich events for p+p and d+Au collisions at STAR. Journal of Physics Conference Series. 219(3). 32020–32020. 1 indexed citations
18.
Balewski, J.. (2007). Measurement of Sivers Asymmetries for Di-jets in s = 200 GeV pp Collisions at STAR. AIP conference proceedings. 915. 555–558. 2 indexed citations
19.
Meyer, H. O., J. Balewski, Mario Džemidžić, et al.. (1998). Dependence of {rvec {ital p}}{rvec {ital p}} {r_arrow} {ital pp{pi}}thinsp{sup 0} near Threshold on the Spin of the Colliding Nucleons. arXiv (Cornell University). 81(15). 10 indexed citations
20.
Rühl, H., Benjamin Dechant, J. Krug, et al.. (1991). Analyzing power in elastic scattering at 67 MeV. Nuclear Physics A. 524(3). 377–390. 18 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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