D. D.

4.5k total citations
170 papers, 3.9k citations indexed

About

D. D. is a scholar working on Biomedical Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, D. D. has authored 170 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Biomedical Engineering, 76 papers in Materials Chemistry and 36 papers in Mechanical Engineering. Recurrent topics in D. D.'s work include Phase Equilibria and Thermodynamics (89 papers), Mesoporous Materials and Catalysis (31 papers) and Zeolite Catalysis and Synthesis (28 papers). D. D. is often cited by papers focused on Phase Equilibria and Thermodynamics (89 papers), Mesoporous Materials and Catalysis (31 papers) and Zeolite Catalysis and Synthesis (28 papers). D. D. collaborates with scholars based in Australia, United States and Japan. D. D.'s co-authors include D. Nicholson, Cuong V. Nguyen, H. D., Shannon Rutherford, E. A. Ustinov, Chunyan Fan, Greg Birkett, Richard G. Rice, M. Mofazzal Hossain and Phuong T. M. Nguyen and has published in prestigious journals such as The Journal of Chemical Physics, Advanced Functional Materials and The Journal of Physical Chemistry B.

In The Last Decade

D. D.

168 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. D. Australia	34	1.8k	1.6k	1.2k	945	401	170	3.9k
Nigel A. Seaton United Kingdom	40	2.3k 1.3×	1.8k 1.1×	1.3k 1.0×	1.4k 1.5×	386 1.0×	88	4.7k
Piotr A. Gauden Poland	32	1.6k 0.9×	1.2k 0.7×	603 0.5×	580 0.6×	193 0.5×	157	3.3k
Lev Sarkisov United Kingdom	36	2.6k 1.5×	1.4k 0.9×	1.2k 1.0×	2.2k 2.3×	218 0.5×	91	4.9k
Stefan Will Germany	41	1.6k 0.9×	1.2k 0.7×	638 0.5×	670 0.7×	208 0.5×	197	5.9k
Marc D. Donohue United States	34	1.4k 0.8×	2.8k 1.7×	731 0.6×	315 0.3×	389 1.0×	159	5.0k
D. Duong Australia	24	1.6k 0.9×	1.6k 1.0×	1.9k 1.6×	1.0k 1.1×	237 0.6×	91	5.0k
Aziz Ghoufi France	45	3.0k 1.7×	2.1k 1.3×	1.1k 0.9×	2.5k 2.6×	265 0.7×	162	6.3k
Koichi Sato Japan	39	2.4k 1.4×	890 0.5×	1.3k 1.0×	922 1.0×	856 2.1×	328	6.9k
Scott M. Auerbach United States	27	1.5k 0.9×	1.4k 0.8×	773 0.6×	1.8k 1.9×	426 1.1×	77	3.8k
Hiromitsu Takaba Japan	29	1.4k 0.8×	600 0.4×	910 0.8×	476 0.5×	302 0.8×	188	3.0k

Countries citing papers authored by D. D.

Since Specialization

Citations

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

Fields of papers citing papers by D. D.

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. D.

This figure shows the co-authorship network connecting the top 25 collaborators of D. D.. A scholar is included among the top collaborators of D. D. 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 D. D.. D. D. is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kalies, Grit & D. D.. (2025). Advantages of momentum work. I. Absolute time. AIP Advances. 15(2).

Kalies, Grit & D. D.. (2024). The limits of mathematics in physics. AIP Advances. 14(11). 1 indexed citations

Kalies, Grit, et al.. (2023). Momentum work and the energetic foundations of physics. II. The ideal gas law derived via processes. AIP Advances. 13(5). 7 indexed citations

Kalies, Grit & D. D.. (2023). Momentum work and the energetic foundations of physics. I. Newton’s laws of motion tailored to processes. AIP Advances. 13(6). 6 indexed citations

D., D., et al.. (2023). Distinct Behavior of SPC/E, TIP4P/2005, and TIP5P Water Adsorbates in Graphitic Pores. Industrial & Engineering Chemistry Research. 63(1). 539–550. 1 indexed citations

Kalies, Grit & D. D.. (2023). Momentum work and the energetic foundations of physics. III. The unification of mechanics and electrodynamics. AIP Advances. 13(9). 5 indexed citations

Kalies, Grit & D. D.. (2023). Momentum work and the energetic foundations of physics. IV. The essence of heat, entropy, enthalpy, and Gibbs free energy. AIP Advances. 13(9). 5 indexed citations

Tan, Shiliang, et al.. (2022). Phase Properties and Wetting Transitions of Simple Gases on Graphite─Characteristic Temperatures of Monolayer Adsorbate. Journal of Chemical & Engineering Data. 67(7). 1687–1698. 1 indexed citations

Horikawa, Toshihide, et al.. (2021). Characterization of non-graphitized carbon blacks: a model with surface crevices. Physical Chemistry Chemical Physics. 23(22). 12569–12581. 5 indexed citations

10.

Tan, Shiliang, et al.. (2021). Lower Closure Point for Nitrogen or Argon Adsorption in Mesoporous Solids: Window-Induced Evaporation or Surface-Induced Cavitation?. Industrial & Engineering Chemistry Research. 60(42). 15343–15351. 8 indexed citations

11.

Liu, Lumeng, et al.. (2021). Microscopic insights into water adsorption in carbon nanopores – the role of acidic and basic functional groups and their configurations. Physical Chemistry Chemical Physics. 23(34). 18369–18377. 12 indexed citations

12.

D., D., et al.. (2021). Evolution of adsorption isotherm and isosteric heat from sub-triple to super-critical points. Adsorption. 27(2). 239–252. 2 indexed citations

13.

Tan, Shiliang, et al.. (2020). A simulation study of the low temperature phase diagram of the methane monolayer on graphite: a test of potential energy functions. Physical Chemistry Chemical Physics. 22(30). 17134–17144. 2 indexed citations

14.

Horikawa, Toshihide, et al.. (2019). On the transition from partial wetting to complete wetting of methanol on graphite. Physical Chemistry Chemical Physics. 21(47). 26219–26231. 1 indexed citations

15.

Tan, Shiliang, et al.. (2018). Comparison of the Adsorption Transitions of Methane and Krypton on Graphite at Sub-Monolayer Coverage. The Journal of Physical Chemistry C. 122(14). 7737–7748. 4 indexed citations

16.

Bruschi, L., et al.. (2017). Adsorption on Nanopores of Different Cross Sections Made by Electron Beam Nanolithography. Langmuir. 34(1). 106–114. 3 indexed citations

17.

Liu, Lumeng, et al.. (2017). On the microscopic origin of the temperature evolution of isosteric heat for methane adsorption on graphite. Physical Chemistry Chemical Physics. 19(39). 27105–27115. 9 indexed citations

18.

Liu, Lumeng, Yonghong Zeng, D. D., D. Nicholson, & Junjie Liu. (2017). Development of averaged solid–fluid potential energies for layers and solids of various geometries and dimensionality. Adsorption. 24(1). 1–9. 15 indexed citations

19.

Fan, Chunyan, et al.. (2016). Monte Carlo Simulation of Adsorption-Induced Deformation in Finite Graphitic Slit Pores. The Journal of Physical Chemistry C. 120(51). 29272–29282. 24 indexed citations

20.

Bhatia, Suresh K. & D. D.. (1991). On the concentration dependence of surface diffusion coefficients in capillary porous materials. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 434(1891). 317–340. 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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