A. Kusina

5.7k total citations · 1 hit paper
52 papers, 842 citations indexed

About

A. Kusina is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, A. Kusina has authored 52 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Nuclear and High Energy Physics, 3 papers in Atomic and Molecular Physics, and Optics and 2 papers in Condensed Matter Physics. Recurrent topics in A. Kusina's work include Particle physics theoretical and experimental studies (47 papers), High-Energy Particle Collisions Research (42 papers) and Quantum Chromodynamics and Particle Interactions (40 papers). A. Kusina is often cited by papers focused on Particle physics theoretical and experimental studies (47 papers), High-Energy Particle Collisions Research (42 papers) and Quantum Chromodynamics and Particle Interactions (40 papers). A. Kusina collaborates with scholars based in Poland, France and United States. A. Kusina's co-authors include I. Schienbein, Fred Olness, F. Lyonnet, Tomáš Ježo, J. Y. Yu, D. Clark, K. Kovařík, C. Keppel, J. F. Owens and Jean-Philippe Lansberg and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

A. Kusina

43 papers receiving 831 citations

Hit Papers

nCTEQ15: Global analysis of nuclear parton distributions ... 2016 2026 2019 2022 2016 50 100 150 200
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. nCTEQ15: Global analysis of nuclear parton distributions with uncertainties in the CTEQ framework
    2016 237 citations K. Kovařík, A. Kusina et al. Physical review. D profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Kusina Poland 15 823 30 14 13 8 52 842
Tomáš Ježo Germany 14 622 0.8× 37 1.2× 7 0.5× 16 1.2× 6 0.8× 37 636
J. Pires Switzerland 13 508 0.6× 30 1.0× 20 1.4× 11 0.8× 5 0.6× 21 529
L. Stančo Italy 5 471 0.6× 27 0.9× 11 0.8× 12 0.9× 6 0.8× 16 490
Thomas Cridge United Kingdom 8 390 0.5× 18 0.6× 10 0.7× 15 1.2× 7 0.9× 18 416
Rabah Abdul Khalek United Kingdom 9 364 0.4× 41 1.4× 9 0.6× 9 0.7× 6 0.8× 10 380
Marius Utheim Sweden 5 423 0.5× 52 1.7× 9 0.6× 11 0.8× 9 1.1× 6 450
Leif Gellersen Sweden 3 395 0.5× 52 1.7× 9 0.6× 11 0.8× 9 1.1× 5 422
Christian Reuschle Germany 8 369 0.4× 47 1.6× 9 0.6× 19 1.5× 19 2.4× 15 382
Oluseyi Latunde-Dada Germany 4 700 0.9× 72 2.4× 23 1.6× 12 0.9× 7 0.9× 5 717
Ding Yu Shao China 14 541 0.7× 46 1.5× 14 1.0× 13 1.0× 2 0.3× 36 574

Countries citing papers authored by A. Kusina

Since Specialization
Citations

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

Fields of papers citing papers by A. Kusina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Kusina

This figure shows the co-authorship network connecting the top 25 collaborators of A. Kusina. A scholar is included among the top collaborators of A. Kusina 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 A. Kusina. A. Kusina 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.
Bertone, Valerio, Tomáš Ježo, K. Kovařík, et al.. (2025). Heavy quark mass effects in charged-current deep-inelastic scattering at approximate NNLO in the Aivazis-Collins-Olness-Tung scheme. Physical review. D. 112(11).
2.
3.
Flore, Carlo, et al.. (2025). Automated NLO calculations for asymmetric hadron-hadron collisions in MadGraph5_aMC@NLO. The European Physical Journal A. 61(10).
4.
Kusina, A., et al.. (2025). Factorisation schemes for proton PDFs. The European Physical Journal C. 85(5). 1 indexed citations
5.
Kovařı́k, K., et al.. (2024). Estimating nPDF Uncertainties via Markov Chain Monte Carlo Methods. 58–58.
6.
Ruíz, Richard, Alberto Accardi, T. J. Hobbs, et al.. (2024). Target mass corrections in lepton–nucleus DIS: Theory and applications to nuclear PDFs. Progress in Particle and Nuclear Physics. 136. 104096–104096. 7 indexed citations
7.
Kusina, A. & Z. Wa̧s. (2023). Evaluation of Photos Monte Carlo ambiguities in case of four fermion final states. The European Physical Journal C. 83(1).
8.
Hobbs, T. J., Tomáš Ježo, Michael Klasen, et al.. (2022). Compatibility of neutrino DIS data and its impact on nuclear parton distribution functions. Physical review. D. 106(7). 14 indexed citations
9.
Asryan, G., Tomáš Ježo, Alberto Accardi, et al.. (2021). Extending nuclear PDF analyses into the high- x , low- Q2 region. DSpace@MIT (Massachusetts Institute of Technology). 21 indexed citations
10.
Klasen, Michael, et al.. (2021). Impact of inclusive hadron production data on nuclear gluon PDFs. arXiv (Cornell University). 18 indexed citations
11.
Novikov, I. I., D. Britzger, A. M. Cooper-Sarkar, et al.. (2020). Parton distribution functions of the charged pion within the xFitter framework. Physical review. D. 102(1). 70 indexed citations
12.
Kusina, A., Jean-Philippe Lansberg, I. Schienbein, & Hua-Sheng Shao. (2018). Gluon Shadowing in Heavy-Flavor Production at the LHC. Physical Review Letters. 121(5). 52004–52004. 53 indexed citations
13.
Bertone, Valerio, D. Britzger, S. Camarda, et al.. (2018). Impact of low-x resummation on QCD analysis of HERA data.. PubMed. 78(8). 621–621. 50 indexed citations
14.
Kusina, A., et al.. (2018). Impact of LHC Heavy-Flavour Data on Nuclear Gluon PDF. Acta Physica Polonica B. 49(6). 1185–1185. 1 indexed citations
15.
Kusina, A., F. Lyonnet, D. Clark, et al.. (2017). LHC Lead Data and Nuclear PDFs. Acta Physica Polonica B. 48(6). 1035–1035. 1 indexed citations
16.
Bertone, Valerio, D. Britzger, S. Camarda, et al.. (2017). Impact of the heavy-quark matching scales in PDF fits. The European Physical Journal C. 77(12). 837–837. 8 indexed citations
17.
Kusina, A., C. Keppel, F. Lyonnet, et al.. (2016). nCTEQ15 -- Global analysis of nuclear parton distributions with uncertainties. 41–41. 4 indexed citations
18.
Lyonnet, F., et al.. (2015). On the intrinsic bottom content of the nucleon and its impact on heavy new physics at the LHC. Journal of High Energy Physics. 2015(7). 19 indexed citations
19.
Jadach, S., A. Kusina, W. Płaczek, M. Skrzypek, & M. Sławińska. (2011). On the inclusion of the QCD NLO corrections in the quark--gluon Monte Carlo shower. arXiv (Cornell University). 1 indexed citations
20.
Sławińska, M. & A. Kusina. (2009). Non-Abelian Infra-Red Cancellations in the Unintegrated NLO Kernel. Acta Physica Polonica B. 40(7). 2097–2108. 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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