T. J. Hobbs

3.6k total citations · 1 hit paper
46 papers, 906 citations indexed

About

T. J. Hobbs is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, T. J. Hobbs has authored 46 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in T. J. Hobbs's work include Particle physics theoretical and experimental studies (41 papers), Quantum Chromodynamics and Particle Interactions (35 papers) and High-Energy Particle Collisions Research (33 papers). T. J. Hobbs is often cited by papers focused on Particle physics theoretical and experimental studies (41 papers), Quantum Chromodynamics and Particle Interactions (35 papers) and High-Energy Particle Collisions Research (33 papers). T. J. Hobbs collaborates with scholars based in United States, China and Germany. T. J. Hobbs's co-authors include Wally Melnitchouk, Keping Xie, Pavel Nadolsky, C.–P. Yuan, Tie-Jiun Hou, J. T. Londergan, Jun Gao, J. Huston, Marco Guzzi and Carl R. Schmidt and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters B.

In The Last Decade

T. J. Hobbs

44 papers receiving 905 citations

Hit Papers

New CTEQ global analysis of quantum chromodynamics with h... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. J. Hobbs United States 17 849 43 39 29 20 46 906
Leandro Cieri Italy 15 1.1k 1.2× 33 0.8× 68 1.7× 72 2.5× 31 1.6× 32 1.1k
C. Studerus Switzerland 9 721 0.8× 20 0.5× 29 0.7× 41 1.4× 27 1.4× 10 772
T. Giani Netherlands 14 561 0.7× 22 0.5× 36 0.9× 27 0.9× 20 1.0× 17 646
Simone Bacchio Cyprus 17 946 1.1× 49 1.1× 23 0.6× 32 1.1× 8 0.4× 55 1.0k
É. Pilon France 16 900 1.1× 33 0.8× 36 0.9× 77 2.7× 35 1.8× 30 928
Jacob Finkenrath Germany 17 997 1.2× 53 1.2× 20 0.5× 35 1.2× 9 0.5× 64 1.0k
L. A. Harland-Lang United Kingdom 14 675 0.8× 17 0.4× 18 0.5× 60 2.1× 18 0.9× 40 701
Maximilian Stahlhofen Germany 13 635 0.7× 16 0.4× 21 0.5× 39 1.3× 21 1.1× 27 674
Florian Herren Germany 11 409 0.5× 32 0.7× 21 0.5× 31 1.1× 14 0.7× 21 452
H. Czyż Poland 16 604 0.7× 34 0.8× 31 0.8× 40 1.4× 17 0.8× 60 641

Countries citing papers authored by T. J. Hobbs

Since Specialization
Citations

This map shows the geographic impact of T. J. Hobbs'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 T. J. Hobbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Hobbs more than expected).

Fields of papers citing papers by T. J. Hobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Hobbs

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Hobbs. A scholar is included among the top collaborators of T. J. Hobbs 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 T. J. Hobbs. T. J. Hobbs 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.
Courtoy, Aurore, et al.. (2025). Fantômas unconfined: global QCD fits with Bézier parameterizations. Computer Physics Communications. 320. 109969–109969.
2.
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
3.
Xie, Keping, B. Zhou, & T. J. Hobbs. (2024). The photon content of the neutron. Journal of High Energy Physics. 2024(4). 7 indexed citations
4.
Nadolsky, Pavel, Sayipjamal Dulat, Marco Guzzi, et al.. (2024). The upcoming CTEQ-TEA parton distributions in a nutshell. 57–57. 1 indexed citations
5.
Hobbs, T. J., et al.. (2024). Explainable AI classification for parton density theory. Journal of High Energy Physics. 2024(11). 3 indexed citations
6.
Gao, Jun, et al.. (2023). Simultaneous CTEQ-TEA extraction of PDFs and SMEFT parameters from jet and $$ t\overline{t} $$ data. Journal of High Energy Physics. 2023(5). 17 indexed citations
7.
Jing, Xiaoxian, A. M. Cooper-Sarkar, Aurore Courtoy, et al.. (2023). Quantifying the interplay of experimental constraints in analyses of parton distributions. Physical review. D. 108(3). 16 indexed citations
8.
Guzzi, Marco, T. J. Hobbs, Keping Xie, et al.. (2023). The persistent nonperturbative charm enigma. Physics Letters B. 843. 137975–137975. 29 indexed citations
9.
Xie, Keping, T. J. Hobbs, Tie-Jiun Hou, et al.. (2022). Photon PDF within the CT18 global analysis. Physical review. D. 105(5). 23 indexed citations
10.
Guzzi, Marco, T. J. Hobbs, Tie-Jiun Hou, et al.. (2022). NNLO constraints on proton PDFs from the SeaQuest and STAR experiments and other developments in the CTEQ-TEA global analysis. SHILAP Revista de lepidopterología. 8 indexed citations
11.
Hobbs, T. J.. (2022). DIS physics at the EIC and LHeC and connections to the future LHC and $\nu$A programs. SHILAP Revista de lepidopterología.
12.
Hobbs, T. J., Tomáš Ježo, Michael Klasen, et al.. (2022). Impact of W and Z Production Data and Compatibility of Neutrino DIS Data in Nuclear Parton Distribution Functions. SHILAP Revista de lepidopterología. 1 indexed citations
13.
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
14.
Hou, Tie-Jiun, Jun Gao, T. J. Hobbs, et al.. (2021). New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC. Physical review. D. 103(1). 363 indexed citations breakdown →
15.
Sekula, S. J., M. Arratia, Yulia Furletova, T. J. Hobbs, & Fred Olness. (2020). Charm jets as a probe for strangeness at the future Electron-Ion Collider. Bulletin of the American Physical Society. 2020. 2 indexed citations
16.
Zhang, Xilin, T. J. Hobbs, & Gerald A. Miller. (2020). Unified model of nucleon elastic form factors and implications for neutrino-oscillation experiments. Physical review. D. 102(7). 6 indexed citations
17.
Nadolsky, Pavel, et al.. (2019). PDFSense: Mapping the PDF sensitivity of future facilities (HL-LHC, LHeC, and EIC). Proceedings Of Science. 247–247. 1 indexed citations
18.
Hobbs, T. J., Mary Alberg, & Gerald A. Miller. (2017). Euclidean bridge to the relativistic constituent quark model. Physical review. C. 95(3). 9 indexed citations
19.
Hobbs, T. J.. (2016). Heckscher-ohlin Theory. American Legal Encyclopedia. 1 indexed citations
20.
Hobbs, T. J. & Jonathan L. Rosner. (2010). Electroweak constraints from atomic parity violation and neutrino scattering. Physical review. D. Particles, fields, gravitation, and cosmology. 82(1). 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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