Michael M. Henry

1.1k total citations
32 papers, 371 citations indexed

About

Michael M. Henry is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Michael M. Henry has authored 32 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 9 papers in Electrical and Electronic Engineering and 8 papers in Astronomy and Astrophysics. Recurrent topics in Michael M. Henry's work include Astro and Planetary Science (8 papers), Machine Learning in Materials Science (7 papers) and Ionosphere and magnetosphere dynamics (5 papers). Michael M. Henry is often cited by papers focused on Astro and Planetary Science (8 papers), Machine Learning in Materials Science (7 papers) and Ionosphere and magnetosphere dynamics (5 papers). Michael M. Henry collaborates with scholars based in United States, Germany and Japan. Michael M. Henry's co-authors include D. E. Brinza, Eric Jankowski, Matthew L. Jones, James E. Polk, John Brophy, Charles Garner, John D. Chodera, John Brophy, B. T. Tsurutani and Yuanqing Wang and has published in prestigious journals such as Geophysical Research Letters, The Journal of Physical Chemistry C and Chemical Science.

In The Last Decade

Michael M. Henry

30 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael M. Henry United States 12 132 105 102 79 62 32 371
Song Feng China 13 201 1.5× 163 1.6× 199 2.0× 11 0.1× 43 0.7× 50 539
Pedro Almeida Portugal 13 243 1.8× 92 0.9× 31 0.3× 7 0.1× 22 0.4× 37 348
Y. Yamagata Japan 14 148 1.1× 227 2.2× 18 0.2× 18 0.2× 111 1.8× 32 486
Hwanho Kim United States 9 59 0.4× 38 0.4× 12 0.1× 144 1.8× 21 0.3× 15 411
Hiromasa Watanabe Japan 9 32 0.2× 23 0.2× 39 0.4× 22 0.3× 11 0.2× 60 326
Po‐Ting Chen United States 11 198 1.5× 119 1.1× 34 0.3× 85 1.1× 5 0.1× 26 333
V. V. Nesterov Russia 11 106 0.8× 26 0.2× 16 0.2× 10 0.1× 20 0.3× 49 336
Xiaofeng Han China 10 26 0.2× 46 0.4× 57 0.6× 63 0.8× 16 0.3× 34 251
Hiroshi Nunokawa Japan 21 32 0.2× 53 0.5× 62 0.6× 22 0.3× 5 0.1× 56 1.4k

Countries citing papers authored by Michael M. Henry

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Henry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Henry. 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 Michael M. Henry. The network helps show where Michael M. Henry may publish in the future.

Co-authorship network of co-authors of Michael M. Henry

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Henry. A scholar is included among the top collaborators of Michael M. Henry 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 Michael M. Henry. Michael M. Henry 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.
Behara, Pavan Kumar, Michael M. Henry, Hugo MacDermott-Opeskin, et al.. (2024). Machine-learned molecular mechanics force fields from large-scale quantum chemical data. Chemical Science. 15(32). 12861–12878. 22 indexed citations
2.
Ries, Benjamin, et al.. (2024). Konnektor: A Framework for Using Graph Theory to Plan Networks for Free Energy Calculations. Journal of Chemical Information and Modeling. 64(22). 8396–8403.
3.
Ries, Benjamin, et al.. (2024). Kartograf: A Geometrically Accurate Atom Mapper for Hybrid-Topology Relative Free Energy Calculations. Journal of Chemical Theory and Computation. 20(5). 1862–1877. 3 indexed citations
4.
Zhang, Ivy, Dominic A. Rufa, Michael M. Henry, et al.. (2023). Identifying and Overcoming the Sampling Challenges in Relative Binding Free Energy Calculations of a Model Protein:Protein Complex. Journal of Chemical Theory and Computation. 19(15). 4863–4882. 10 indexed citations
5.
Wang, Yuanqing, Josh Fass, Benjamin Kaminow, et al.. (2022). End-to-end differentiable construction of molecular mechanics force fields. Chemical Science. 13(41). 12016–12033. 46 indexed citations
6.
Smith, Justin C., et al.. (2021). Self-Assembly of Ge and GaAs Quantum Dots under Tensile Strain on InAlAs(111)A. Crystal Growth & Design. 21(3). 1674–1682. 3 indexed citations
7.
Henry, Michael M., et al.. (2020). General-Purpose Coarse-Grained Toughened Thermoset Model for 44DDS/DGEBA/PES. Polymers. 12(11). 2547–2547. 6 indexed citations
8.
Jones, Matthew L., et al.. (2019). Machine learning predictions of electronic couplings for charge transport calculations of P3HT. AIChE Journal. 65(12). 25 indexed citations
9.
Jankowski, Eric, et al.. (2019). Perspective on coarse-graining, cognitive load, and materials simulation. Computational Materials Science. 171. 109129–109129. 7 indexed citations
10.
Jones, Matthew L. & Michael M. Henry. (2018). matty-jones/MorphCT: MorphCT v3.0. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
11.
Henry, Michael M., Matthew L. Jones, Stefan D. Oosterhout, et al.. (2017). Simplified Models for Accelerated Structural Prediction of Conjugated Semiconducting Polymers. The Journal of Physical Chemistry C. 121(47). 26528–26538. 12 indexed citations
12.
Benney, Richard, et al.. (2009). Joint Medical Distance Support and Evaluation (JMDSE) Joint Capability Technology Demonstration (JCTD) & Joint Precision Air Delivery Systems (JPADS). 4 indexed citations
13.
Benney, Richard, et al.. (2009). DOD New JPADS Programs and NATO Activities. 22 indexed citations
14.
Tsurutani, B. T., D. R. Clay, B. Dasgupta, et al.. (2003). Dust impacts at Comet P/Borrelly. Geophysical Research Letters. 30(22). 19 indexed citations
15.
Tsurutani, B. T., D. R. Clay, B. Dasgupta, et al.. (2003). Plasma clouds associated with Comet P/Borrelly dust impacts. Icarus. 167(1). 89–99. 31 indexed citations
16.
Brinza, D. E., et al.. (2001). Deep Space 1 Measurements of Ion Propulsion Contamination. Journal of Spacecraft and Rockets. 38(3). 426–432. 10 indexed citations
17.
Davis, V. A., Ira Katz, M. J. Mandell, et al.. (2001). Ion engine generated charge exchange environment: comparison between NSTAR flight data and numerical simulations. 39th Aerospace Sciences Meeting and Exhibit. 8 indexed citations
18.
Brinza, D. E., et al.. (2000). Deep Space One investigations of ion propulsion contamination - Overview and initial results. 38th Aerospace Sciences Meeting and Exhibit. 6 indexed citations
19.
Brinza, D. E., R. Goldstein, Michael M. Henry, et al.. (1999). Deep Space One investigations of ion propulsion plasma interactions - Initial results. 2 indexed citations
20.
Henry, Michael M.. (1994). Partial Charges Distributions in Crystalline Materials through Electronegativity Equalization. Materials science forum. 152-153. 355–358. 6 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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