Kim Maltman

4.8k total citations
153 papers, 2.7k citations indexed

About

Kim Maltman 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, Kim Maltman has authored 153 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Nuclear and High Energy Physics, 17 papers in Atomic and Molecular Physics, and Optics and 6 papers in Condensed Matter Physics. Recurrent topics in Kim Maltman's work include Quantum Chromodynamics and Particle Interactions (143 papers), Particle physics theoretical and experimental studies (136 papers) and High-Energy Particle Collisions Research (99 papers). Kim Maltman is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (143 papers), Particle physics theoretical and experimental studies (136 papers) and High-Energy Particle Collisions Research (99 papers). Kim Maltman collaborates with scholars based in Canada, Australia and United States. Kim Maltman's co-authors include Nathan Isgur, Randy Lewis, Renwick J. Hudspith, Anthony Francis, Santiago Peris, Maarten Golterman, Joachim Kambor, G. J. Stephenson, Diogo Boito and André Sternbeck and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Kim Maltman

144 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Maltman Canada 29 2.6k 187 102 38 36 153 2.7k
Keh-Fei Liu United States 29 2.2k 0.8× 195 1.0× 121 1.2× 65 1.7× 38 1.1× 115 2.3k
M. Döring United States 30 2.4k 0.9× 250 1.3× 92 0.9× 58 1.5× 58 1.6× 86 2.5k
Saul D. Cohen United States 21 1.6k 0.6× 235 1.3× 91 0.9× 103 2.7× 35 1.0× 39 1.8k
K. Hornbostel United States 22 2.5k 1.0× 137 0.7× 129 1.3× 56 1.5× 12 0.3× 31 2.6k
J. M. Zanotti United Kingdom 39 3.8k 1.5× 281 1.5× 170 1.7× 75 2.0× 20 0.6× 174 4.0k
L. Oliver France 31 3.9k 1.5× 294 1.6× 87 0.9× 91 2.4× 56 1.6× 138 4.0k
Nils A. Törnqvist Finland 21 1.9k 0.7× 183 1.0× 91 0.9× 25 0.7× 79 2.2× 87 2.0k
B.L. Ioffe Russia 29 3.5k 1.3× 185 1.0× 112 1.1× 125 3.3× 28 0.8× 127 3.6k
J. P. Leroy France 22 1.4k 0.5× 138 0.7× 73 0.7× 49 1.3× 58 1.6× 66 1.6k
A. Parreño Spain 29 2.2k 0.9× 352 1.9× 100 1.0× 161 4.2× 61 1.7× 68 2.4k

Countries citing papers authored by Kim Maltman

Since Specialization
Citations

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

Fields of papers citing papers by Kim Maltman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Maltman

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Maltman. A scholar is included among the top collaborators of Kim Maltman 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 Kim Maltman. Kim Maltman 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.
Boito, Diogo, et al.. (2024). Data-driven estimates for light-quark-connected and strange-plus-disconnected hadronic g−2 window quantities. Physical review. D. 109(3). 5 indexed citations
2.
Boito, Diogo, et al.. (2023). Data-Driven Determination of the Light-Quark Connected Component of the Intermediate-Window Contribution to the Muon g−2. Physical Review Letters. 131(25). 251803–251803. 11 indexed citations
3.
Boito, Diogo, Maarten Golterman, Kim Maltman, & Santiago Peris. (2023). Data-based determination of the isospin-limit light-quark-connected contribution to the anomalous magnetic moment of the muon. Physical review. D. 107(7). 10 indexed citations
4.
Boito, Diogo, Maarten Golterman, Kim Maltman, & Santiago Peris. (2023). Spectral-weight sum rules for the hadronic vacuum polarization. Physical review. D. 107(3). 13 indexed citations
5.
Golterman, Maarten, Kim Maltman, & Santiago Peris. (2023). Difference between fixed-order and contour-improved perturbation theory. Physical review. D. 108(1). 5 indexed citations
6.
Boito, Diogo, Maarten Golterman, Kim Maltman, & Santiago Peris. (2019). Determining $\alpha_s$ from hadronic $\tau$ decay: the pitfalls of truncating the OPE. SHILAP Revista de lepidopterología. 3 indexed citations
7.
Maltman, Kim, P. A. Boyle, Renwick J. Hudspith, et al.. (2019). Current Status of inclusive hadronic tau determinations of |V_us|. SHILAP Revista de lepidopterología. 7 indexed citations
8.
Francis, Anthony, Renwick J. Hudspith, Randy Lewis, & Kim Maltman. (2018). More on heavy tetraquarks in lattice QCD at almost physical pion mass. Springer Link (Chiba Institute of Technology). 4 indexed citations
9.
Boyle, Peter, Renwick J. Hudspith, Taku Izubuchi, et al.. (2018). Novel |Vus| Determination Using Inclusive Strange τ Decay and Lattice Hadronic Vacuum Polarization Functions. Physical Review Letters. 121(20). 202003–202003. 6 indexed citations
10.
Boito, Diogo, Maarten Golterman, Kim Maltman, James Osborne, & Santiago Peris. (2016). α from the updated ALEPH data for hadronic τ decays. Nuclear and Particle Physics Proceedings. 270-272. 103–107.
11.
Blum, Tom, P. A. Boyle, Luigi Del Debbio, et al.. (2016). Lattice calculation of the leading strange quark-connected contribution to the muon g − 2. Journal of High Energy Physics. 2016(4). 1–20. 25 indexed citations
12.
Blum, Thomas, Taku Izubuchi, Luchang Jin, et al.. (2016). Calculation of the Hadronic Vacuum Polarization Disconnected Contribution to the Muon Anomalous Magnetic Moment. Physical Review Letters. 116(23). 232002–232002. 57 indexed citations
13.
Boito, Diogo, Maarten Golterman, Kim Maltman, James Osborne, & Santiago Peris. (2015). α s from the (revised) ALEPH data for τ decay. Nuclear and Particle Physics Proceedings. 260. 134–138. 2 indexed citations
14.
Maltman, Kim, et al.. (2006). V_us From Hadronic Tau Decays. arXiv (Cornell University).
15.
Golowich, Eugene, et al.. (2003). Improved determination of the electroweak penguin contribution to epsilon '/epsilon in the chiral limit. Physics Letters B. 555. 2 indexed citations
16.
Cirigliano, Vincenzo, John F. Donoghue, Eugene Golowich, & Kim Maltman. (2002). 1 K → ππ Electroweak Penguins in the Chiral Limit. 4 indexed citations
17.
Bhattacharya, Tanmoy, Rajan Gupta, & Kim Maltman. (1997). Duality and the Extraction of Light Quark Masses From Finite Energy and QCD Sum Rules. arXiv (Cornell University). 1 indexed citations
18.
Maltman, Kim, H.B. O’Connell, & Anthony G. Williams. (1996). Analysis of rho-omega interference in the pion form-factor. 27 indexed citations
19.
Maltman, Kim, et al.. (1994). Large violations of the ΔI = rule in ΛN → NN. Physics Letters B. 331(1-2). 1–7. 21 indexed citations
20.
Maltman, Kim. (1986). Optimal channels for positive parity, strangeness −1 dibaryons. Nuclear Physics A. 459(3-4). 475–487. 5 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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