David M. Ackerman

1.1k total citations · 1 hit paper
25 papers, 868 citations indexed

About

David M. Ackerman is a scholar working on Materials Chemistry, Political Science and International Relations and Condensed Matter Physics. According to data from OpenAlex, David M. Ackerman has authored 25 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 7 papers in Political Science and International Relations and 7 papers in Condensed Matter Physics. Recurrent topics in David M. Ackerman's work include Theoretical and Computational Physics (7 papers), Block Copolymer Self-Assembly (5 papers) and Military and Defense Studies (4 papers). David M. Ackerman is often cited by papers focused on Theoretical and Computational Physics (7 papers), Block Copolymer Self-Assembly (5 papers) and Military and Defense Studies (4 papers). David M. Ackerman collaborates with scholars based in United States and United Kingdom. David M. Ackerman's co-authors include David S. Sholl, J. Karl Johnson, Anastasios I. Skoulidas, James W. Evans, Da‐Jiang Liu, Jing Wang, Marek Pruski, Jing Wang, Kris T. Delaney and Igor I. Slowing and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

David M. Ackerman

22 papers receiving 829 citations

Hit Papers

Rapid Transport of Gases in Carbon Nanotubes 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Ackerman United States 10 537 435 215 117 117 25 868
Joshua D. Moore United States 19 451 0.8× 479 1.1× 236 1.1× 139 1.2× 125 1.1× 29 997
Lifang Xu China 18 540 1.0× 306 0.7× 327 1.5× 215 1.8× 123 1.1× 48 1.1k
В. А. Бакаев United States 15 348 0.6× 277 0.6× 113 0.5× 98 0.8× 105 0.9× 42 709
Jorge Pikunic United States 9 331 0.6× 258 0.6× 87 0.4× 57 0.5× 179 1.5× 13 621
Yoshinori Sugitani Japan 12 384 0.7× 262 0.6× 113 0.5× 50 0.4× 72 0.6× 54 826
N. Dupont-Pavlovsky France 19 711 1.3× 349 0.8× 78 0.4× 230 2.0× 93 0.8× 46 974
M.E. van Leeuwen Netherlands 9 264 0.5× 590 1.4× 108 0.5× 154 1.3× 57 0.5× 10 815
Satoshi Yoshida Japan 14 171 0.3× 392 0.9× 159 0.7× 192 1.6× 41 0.4× 60 929
Tim M. Becker Netherlands 14 246 0.5× 265 0.6× 265 1.2× 70 0.6× 257 2.2× 18 754
J. B. Lewis United States 13 256 0.5× 337 0.8× 136 0.6× 49 0.4× 56 0.5× 45 757

Countries citing papers authored by David M. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by David M. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Ackerman

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Ackerman. A scholar is included among the top collaborators of David M. Ackerman 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 David M. Ackerman. David M. Ackerman 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.
Ackerman, David M. & James W. Evans. (2017). Tracer counterpermeation analysis of diffusivity in finite-length nanopores with and without single-file dynamics. Physical review. E. 95(1). 12132–12132. 2 indexed citations
2.
Ackerman, David M., Kris T. Delaney, Glenn H. Fredrickson, & Baskar Ganapathysubramanian. (2016). A finite element approach to self-consistent field theory calculations of multiblock polymers. Journal of Computational Physics. 331. 280–296. 12 indexed citations
3.
Ackerman, David M., et al.. (2015). The Evolving Process to Add Preservation Support for New Formats at Harvard Library. Archiving Conference. 12(1). 12–15. 1 indexed citations
5.
Ackerman, David M., et al.. (2014). Langevin and Fokker-Planck Analyses of Inhibited Molecular Passing Processes Controlling Transport and Reactivity in Nanoporous Materials. Physical Review Letters. 113(3). 38301–38301. 6 indexed citations
7.
Ackerman, David M., Jing Wang, & James W. Evans. (2012). Generalized Hydrodynamic Treatment of the Interplay between Restricted Transport and Catalytic Reactions in Nanoporous Materials. Physical Review Letters. 108(22). 228301–228301. 14 indexed citations
8.
Wang, Jing, David M. Ackerman, Kapil Kandel, et al.. (2012). Conversion Reactions in Surface-Functionalized Mesoporous Materials: Effect of Restricted Transport and Catalytic Site Distribution. MRS Proceedings. 1423. 1 indexed citations
9.
Liu, Da‐Jiang, Jing Wang, David M. Ackerman, et al.. (2011). Interplay between Anomalous Transport and Catalytic Reaction Kinetics in Single-File Nanoporous Systems. ACS Catalysis. 1(7). 751–763. 12 indexed citations
10.
Ackerman, David M., et al.. (2011). Catalytic conversion reactions mediated by single-file diffusion in linear nanopores: Hydrodynamic versus stochastic behavior. The Journal of Chemical Physics. 134(11). 114107–114107. 11 indexed citations
11.
Ackerman, David M. & James W. Evans. (2011). Boundary Conditions for Burton–Cabrera–Frank Type Step-Flow Models: Coarse-Graining of Discrete 2D Deposition-Diffusion Equations. Multiscale Modeling and Simulation. 9(1). 59–88. 15 indexed citations
12.
Ackerman, David M., Anastasios I. Skoulidas, David S. Sholl, & J. Karl Johnson. (2003). Diffusivities of Ar and Ne in Carbon Nanotubes. Molecular Simulation. 29(10-11). 677–684. 131 indexed citations
13.
Skoulidas, Anastasios I., David M. Ackerman, J. Karl Johnson, & David S. Sholl. (2002). Rapid Transport of Gases in Carbon Nanotubes. Physical Review Letters. 89(18). 185901–185901. 577 indexed citations breakdown →
14.
Ackerman, David M.. (2002). Withdrawal from the ABM Treaty: Legal Considerations. University of North Texas Digital Library (University of North Texas).
15.
Ackerman, David M.. (2001). Response to Terrorism: Legal Aspects of the Use of Military Force. University of North Texas Digital Library (University of North Texas). 1 indexed citations
16.
Ackerman, David M.. (2001). Global Climate Change: Selected Legal Questions About the Kyoto Protocol. University of North Texas Digital Library (University of North Texas).
17.
Ackerman, David M.. (1999). Kosovo and NATO: Selected Issues of International Law. University of North Texas Digital Library (University of North Texas). 1 indexed citations
18.
Ackerman, David M.. (1998). The Religious Freedom Restoration Act: Its Rise, Fall, and Current Status. University of North Texas Digital Library (University of North Texas). 1 indexed citations
19.
Ackerman, David M., et al.. (1993). Biotechnology, Indigenous Peoples, and Intellectual Property Rights [April 16, 1993]. Library of Congress. Congressional Research Service. 1 indexed citations
20.
Ackerman, David M., et al.. (1993). Biotechnology, Indigenous Peoples, and Intellectual Property Rights. University of North Texas Digital Library (University of North Texas). 14 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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