Tim M. Becker

897 total citations
18 papers, 754 citations indexed

About

Tim M. Becker is a scholar working on Biomedical Engineering, Mechanical Engineering and Catalysis. According to data from OpenAlex, Tim M. Becker has authored 18 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Mechanical Engineering and 6 papers in Catalysis. Recurrent topics in Tim M. Becker's work include Phase Equilibria and Thermodynamics (11 papers), Carbon Dioxide Capture Technologies (8 papers) and Metal-Organic Frameworks: Synthesis and Applications (6 papers). Tim M. Becker is often cited by papers focused on Phase Equilibria and Thermodynamics (11 papers), Carbon Dioxide Capture Technologies (8 papers) and Metal-Organic Frameworks: Synthesis and Applications (6 papers). Tim M. Becker collaborates with scholars based in Netherlands, United States and Germany. Tim M. Becker's co-authors include Thijs J. H. Vlugt, Seyed Hossein Jamali, David Dubbeldam, André Bardow, L. Wolff, Othonas A. Moultos, Li‐Chiang Lin, Meng Wang, C.A. Infante Ferreira and Mahinder Ramdin and has published in prestigious journals such as The Journal of Physical Chemistry B, The Journal of Physical Chemistry C and Physical Chemistry Chemical Physics.

In The Last Decade

Tim M. Becker

17 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim M. Becker Netherlands 14 265 265 257 246 134 18 754
Ali Poursaeidesfahani Netherlands 16 192 0.7× 253 1.0× 246 1.0× 247 1.0× 127 0.9× 20 631
Ariana Torres‐Knoop Netherlands 19 342 1.3× 406 1.5× 545 2.1× 434 1.8× 149 1.1× 27 1.2k
Sentaro Ozawa Japan 14 350 1.3× 343 1.3× 396 1.5× 393 1.6× 228 1.7× 68 1.0k
Joshua D. Moore United States 19 236 0.9× 479 1.8× 125 0.5× 451 1.8× 43 0.3× 29 997
Alauddin Ahmed United States 15 164 0.6× 221 0.8× 576 2.2× 871 3.5× 85 0.6× 32 1.3k
Grit Kalies Germany 14 111 0.4× 181 0.7× 298 1.2× 320 1.3× 33 0.2× 54 628
Bernard Tavitian France 14 118 0.4× 333 1.3× 357 1.4× 254 1.0× 81 0.6× 19 678
Andreas Jäger Germany 16 180 0.7× 351 1.3× 108 0.4× 415 1.7× 56 0.4× 47 1.0k
Shomeek Mukhopadhyay India 16 239 0.9× 146 0.6× 150 0.6× 162 0.7× 60 0.4× 43 637
Seyed Hossein Jamali Netherlands 13 149 0.6× 391 1.5× 49 0.2× 242 1.0× 136 1.0× 20 799

Countries citing papers authored by Tim M. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Tim M. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim M. Becker

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

All Works

18 of 18 papers shown
1.
Becker, Tim M., et al.. (2022). Solar occultation observations of Saturn's rings with Cassini UVIS. Icarus. 388. 115237–115237. 1 indexed citations
2.
Hossain, Mohammad I., et al.. (2019). Impact of MOF defects on the binary adsorption of CO2 and water in UiO-66. Chemical Engineering Science. 203. 346–357. 94 indexed citations
3.
Jamali, Seyed Hossein, L. Wolff, Tim M. Becker, et al.. (2019). OCTP: A Tool for On-the-Fly Calculation of Transport Properties of Fluids with the Order-nAlgorithm in LAMMPS. Journal of Chemical Information and Modeling. 59(4). 1290–1294. 91 indexed citations
4.
Becker, Tim M., Azahara Luna‐Triguero, José Manuel Vicent‐Luna, et al.. (2018). Potential of polarizable force fields for predicting the separation performance of small hydrocarbons in M-MOF-74. Physical Chemistry Chemical Physics. 20(45). 28848–28859. 19 indexed citations
5.
Jamali, Seyed Hossein, L. Wolff, Tim M. Becker, et al.. (2018). Finite-Size Effects of Binary Mutual Diffusion Coefficients from Molecular Dynamics. Journal of Chemical Theory and Computation. 14(5). 2667–2677. 146 indexed citations
6.
Wolff, L., Seyed Hossein Jamali, Tim M. Becker, et al.. (2018). Prediction of Composition-Dependent Self-Diffusion Coefficients in Binary Liquid Mixtures: The Missing Link for Darken-Based Models. Industrial & Engineering Chemistry Research. 57(43). 14784–14794. 31 indexed citations
7.
Becker, Tim M., Meng Wang, Seyed Hossein Jamali, et al.. (2018). Absorption Refrigeration Cycles with Ammonia–Ionic Liquid Working Pairs Studied by Molecular Simulation. Industrial & Engineering Chemistry Research. 57(15). 5442–5452. 42 indexed citations
8.
Becker, Tim M., Li‐Chiang Lin, David Dubbeldam, & Thijs J. H. Vlugt. (2018). Polarizable Force Field for CO2 in M-MOF-74 Derived from Quantum Mechanics. The Journal of Physical Chemistry C. 122(42). 24488–24498. 40 indexed citations
9.
Wang, Meng, et al.. (2018). Ammonia/ionic liquid based double-effect vapor absorption refrigeration cycles driven by waste heat for cooling in fishing vessels. Energy Conversion and Management. 174. 824–843. 43 indexed citations
10.
Wang, Meng, Tim M. Becker, & C.A. Infante Ferreira. (2017). Assessment of vapor–liquid equilibrium models for ionic liquid based working pairs in absorption cycles. International Journal of Refrigeration. 87. 10–25. 39 indexed citations
11.
Ramdin, Mahinder, Seyed Hossein Jamali, Tim M. Becker, & Thijs J. H. Vlugt. (2017). Gibbs ensemble Monte Carlo simulations of multicomponent natural gas mixtures. Molecular Simulation. 44(5). 377–383. 9 indexed citations
12.
Becker, Tim M., et al.. (2017). Molecular simulation of NH 3 /ionic liquid mixtures for absorption heat pump cycles. 1 indexed citations
13.
Jamali, Seyed Hossein, et al.. (2017). Thermodynamic and Transport Properties of Crown-Ethers: Force Field Development and Molecular Simulations. The Journal of Physical Chemistry B. 121(35). 8367–8376. 14 indexed citations
14.
Becker, Tim M., Jurn Heinen, David Dubbeldam, Li‐Chiang Lin, & Thijs J. H. Vlugt. (2017). Polarizable Force Fields for CO2and CH4Adsorption in M-MOF-74. The Journal of Physical Chemistry C. 121(8). 4659–4673. 94 indexed citations
15.
Luna‐Triguero, Azahara, José Manuel Vicent‐Luna, Tim M. Becker, et al.. (2017). Effective Model for Olefin/Paraffin Separation using (Co, Fe, Mn, Ni)‐MOF‐74. ChemistrySelect. 2(2). 665–672. 20 indexed citations
16.
Ramdin, Mahinder, Tim M. Becker, Seyed Hossein Jamali, Meng Wang, & Thijs J. H. Vlugt. (2016). Computing equation of state parameters of gases from Monte Carlo simulations. Fluid Phase Equilibria. 428. 174–181. 12 indexed citations
17.
Jamali, Seyed Hossein, Mahinder Ramdin, Tim M. Becker, et al.. (2016). Solubility of sulfur compounds in commercial physical solvents and an ionic liquid from Monte Carlo simulations. Fluid Phase Equilibria. 433. 50–55. 31 indexed citations
18.
Becker, Tim M., David Dubbeldam, Li‐Chiang Lin, & Thijs J. H. Vlugt. (2015). Investigating polarization effects of CO2 adsorption in MgMOF-74. Journal of Computational Science. 15. 86–94. 27 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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