Daniel C. Hackett

1.2k total citations · 1 hit paper
31 papers, 707 citations indexed

About

Daniel C. Hackett is a scholar working on Nuclear and High Energy Physics, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Daniel C. Hackett has authored 31 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 4 papers in Condensed Matter Physics and 3 papers in Computer Networks and Communications. Recurrent topics in Daniel C. Hackett's work include Quantum Chromodynamics and Particle Interactions (20 papers), Particle physics theoretical and experimental studies (18 papers) and Black Holes and Theoretical Physics (10 papers). Daniel C. Hackett is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (20 papers), Particle physics theoretical and experimental studies (18 papers) and Black Holes and Theoretical Physics (10 papers). Daniel C. Hackett collaborates with scholars based in United States, Israel and United Kingdom. Daniel C. Hackett's co-authors include Phiala E. Shanahan, Ethan T. Neil, William I. Jay, Venkitesh Ayyar, Denis Boyda, Michael S. Albergo, Benjamin Svetitsky, Danilo Jimenez Rezende, Yigal Shamir and Sébastien Racanière and has published in prestigious journals such as Physical Review Letters, Physical review. D and The European Physical Journal A.

In The Last Decade

Daniel C. Hackett

29 papers receiving 698 citations

Hit Papers

Gravitational Form Factors of the Proton from Lattice QCD 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Hackett United States 14 490 108 99 86 68 31 707
Michael S. Albergo United States 8 158 0.3× 134 1.2× 139 1.4× 103 1.2× 98 1.4× 14 449
David Schaich United States 22 1.0k 2.1× 34 0.3× 83 0.8× 121 1.4× 51 0.8× 52 1.2k
Lena Funcke Germany 13 269 0.5× 164 1.5× 83 0.8× 211 2.5× 46 0.7× 35 531
Julian M. Urban Germany 9 152 0.3× 40 0.4× 45 0.5× 28 0.3× 40 0.6× 13 246
F. Rapuano Italy 23 1.3k 2.6× 33 0.3× 266 2.7× 98 1.1× 56 0.8× 55 1.5k
Tobias Hartung Germany 11 111 0.2× 170 1.6× 69 0.7× 167 1.9× 44 0.6× 36 366
Hua Xing Zhu China 32 2.5k 5.0× 84 0.8× 21 0.2× 56 0.7× 47 0.7× 78 2.6k
Erik Panzer United Kingdom 12 650 1.3× 23 0.2× 91 0.9× 69 0.8× 104 1.5× 25 881
Alexander Rothkopf Germany 22 1.3k 2.6× 39 0.4× 92 0.9× 255 3.0× 71 1.0× 75 1.5k
Helmuth Hüffel Austria 8 220 0.4× 31 0.3× 68 0.7× 192 2.2× 182 2.7× 27 437

Countries citing papers authored by Daniel C. Hackett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Hackett. 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 Daniel C. Hackett. The network helps show where Daniel C. Hackett may publish in the future.

Co-authorship network of co-authors of Daniel C. Hackett

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Hackett. A scholar is included among the top collaborators of Daniel C. Hackett 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 Daniel C. Hackett. Daniel C. Hackett 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.
Zhang, Rui, et al.. (2025). Kinematically enhanced interpolating operators for boosted hadrons. Physical review. D. 112(5). 2 indexed citations
2.
Hackett, Daniel C. & Michael L. Wagman. (2025). Lanczos algorithm for lattice QCD matrix elements. Physical review. D. 112(5). 1 indexed citations
3.
Hackett, Daniel C., Denis Boyda, Gurtej Kanwar, et al.. (2024). Practical applications of machine-learned flows on gauge fields. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 11–11. 6 indexed citations
4.
Hackett, Daniel C., et al.. (2024). Gravitational Form Factors of the Proton from Lattice QCD. Physical Review Letters. 132(25). 251904–251904. 50 indexed citations breakdown →
5.
Hackett, Daniel C.. (2024). Lanczos algorithm for lattice QCD matrix elements. arXiv (Cornell University). 1 indexed citations
6.
Abbott, Ryan, Michael S. Albergo, Denis Boyda, et al.. (2024). Multiscale Normalizing Flows for Gauge Theories. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 35–35. 3 indexed citations
7.
Hackett, Daniel C., et al.. (2023). Neural-network preconditioners for solving the Dirac equation in lattice gauge theory. Physical review. D. 107(3). 5 indexed citations
8.
Abbott, Ryan, Michael S. Albergo, Aleksandar Botev, et al.. (2023). Aspects of scaling and scalability for flow-based sampling of lattice QCD. The European Physical Journal A. 59(11). 19 indexed citations
9.
Hackett, Daniel C., et al.. (2023). Gravitational form factors of the pion from lattice QCD. Physical review. D. 108(11). 43 indexed citations
10.
Hackett, Daniel C., et al.. (2022). Gluon gravitational structure of hadrons of different spin. Physical review. D. 105(5). 57 indexed citations
11.
Albergo, Michael S., Denis Boyda, K. Cranmer, et al.. (2022). Flow-based sampling in the lattice Schwinger model at criticality. Physical review. D. 106(1). 24 indexed citations
12.
Kanwar, Gurtej, Michael S. Albergo, Denis Boyda, et al.. (2020). Equivariant Flow-Based Sampling for Lattice Gauge Theory. Physical Review Letters. 125(12). 121601–121601. 114 indexed citations
13.
Hackett, Daniel C., Ethan T. Neil, & Thomas DeGrand. (2019). Large $N_c$ Thermodynamics with Dynamical Fermions. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 175–175. 1 indexed citations
14.
Ayyar, Venkitesh, Maarten Golterman, Daniel C. Hackett, et al.. (2019). Radiative contribution to the composite-Higgs potential in a two-representation lattice model. Physical review. D. 99(9). 31 indexed citations
15.
Hackett, Daniel C., Kiel Howe, Ciaran Hughes, et al.. (2019). Digitizing gauge fields: Lattice Monte Carlo results for future quantum computers. Physical review. A. 99(6). 41 indexed citations
16.
Ayyar, Venkitesh, Daniel C. Hackett, William I. Jay, & Ethan T. Neil. (2018). Confinement study of an SU(4) gauge theory with fermions in multiple representations. Springer Link (Chiba Institute of Technology). 6 indexed citations
17.
Ayyar, Venkitesh, Daniel C. Hackett, William I. Jay, & Ethan T. Neil. (2018). Automated lattice data generation. Springer Link (Chiba Institute of Technology). 3 indexed citations
18.
Ayyar, Venkitesh, Thomas DeGrand, Daniel C. Hackett, et al.. (2018). Chiral Transition of SU(4) Gauge Theory with Fermions in Multiple Representations. Springer Link (Chiba Institute of Technology). 7 indexed citations
19.
Ayyar, Venkitesh, Thomas DeGrand, Daniel C. Hackett, et al.. (2018). Baryon spectrum of SU(4) composite Higgs theory with two distinct fermion representations. Physical review. D. 97(11). 52 indexed citations
20.
Ayyar, Venkitesh, Thomas DeGrand, Maarten Golterman, et al.. (2018). Spectroscopy of SU(4) composite Higgs theory with two distinct fermion representations. Physical review. D. 97(7). 56 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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