T. Werder

2.2k total citations · 1 hit paper
18 papers, 1.9k citations indexed

About

T. Werder is a scholar working on Biomedical Engineering, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, T. Werder has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 6 papers in Materials Chemistry and 5 papers in Computational Mechanics. Recurrent topics in T. Werder's work include Nanopore and Nanochannel Transport Studies (10 papers), Carbon Nanotubes in Composites (4 papers) and Graphene research and applications (3 papers). T. Werder is often cited by papers focused on Nanopore and Nanochannel Transport Studies (10 papers), Carbon Nanotubes in Composites (4 papers) and Graphene research and applications (3 papers). T. Werder collaborates with scholars based in Switzerland, United States and Sweden. T. Werder's co-authors include Petros Koumoutsakos, Jens Honoré Walther, Richard L. Jaffe, T. Halicioǧlu, Flavio Noca, Timur Halicioğlu, Pedro Gonnet, Dominik Schötzau, K. Gerdes and C. Schwab and has published in prestigious journals such as Nano Letters, The Journal of Physical Chemistry B and Journal of Computational Physics.

In The Last Decade

T. Werder

17 papers receiving 1.8k citations

Hit Papers

On the Water−Carbon Interaction for Use in Molecular Dyna... 2003 2026 2010 2018 2003 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Werder Switzerland 9 1.1k 873 354 353 291 18 1.9k
Bruce M. Law United States 25 664 0.6× 693 0.8× 617 1.7× 355 1.0× 306 1.1× 86 1.9k
Murat Barışık Türkiye 24 768 0.7× 701 0.8× 168 0.5× 237 0.7× 141 0.5× 57 1.6k
T. Halicioǧlu United States 17 1.1k 1.1× 1.5k 1.7× 839 2.4× 264 0.7× 297 1.0× 52 2.7k
Matthew K. Borg United Kingdom 27 805 0.8× 502 0.6× 143 0.4× 897 2.5× 268 0.9× 84 2.1k
Rongzheng Wan China 15 773 0.7× 408 0.5× 348 1.0× 108 0.3× 118 0.4× 42 1.2k
Felix Sedlmeier Germany 13 853 0.8× 554 0.6× 579 1.6× 109 0.3× 87 0.3× 15 1.6k
A.S. Sheludko Russia 3 331 0.3× 602 0.7× 134 0.4× 414 1.2× 208 0.7× 8 1.6k
A. Scheludko Bulgaria 19 477 0.4× 624 0.7× 174 0.5× 429 1.2× 329 1.1× 32 1.5k
Manuel Laso Spain 30 1.2k 1.1× 1.3k 1.5× 298 0.8× 473 1.3× 73 0.3× 86 2.9k
Takahiro Koishi Japan 18 289 0.3× 333 0.4× 205 0.6× 295 0.8× 509 1.7× 48 1.3k

Countries citing papers authored by T. Werder

Since Specialization
Citations

This map shows the geographic impact of T. Werder'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 T. Werder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Werder more than expected).

Fields of papers citing papers by T. Werder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Werder

This figure shows the co-authorship network connecting the top 25 collaborators of T. Werder. A scholar is included among the top collaborators of T. Werder 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 T. Werder. T. Werder 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.
Werder, T., Jens Honoré Walther, Richard L. Jaffe, T. Halicioǧlu, & Petros Koumoutsakos. (2008). On the Water−Carbon Interaction for Use in Molecular Dynamics Simulations of Graphite and Carbon Nanotubes. The Journal of Physical Chemistry B. 112(44). 14090–14090. 23 indexed citations
2.
Walther, Jens Honoré, T. Werder, Richard L. Jaffe, & Petros Koumoutsakos. (2004). Hydrodynamic properties of carbon nanotubes. Physical Review E. 69(6). 62201–62201. 67 indexed citations
3.
Walther, Jens Honoré, T. Werder, Richard L. Jaffe, et al.. (2004). Water–carbon interactions III: The influence of surface and fluid impurities. Physical Chemistry Chemical Physics. 6(8). 1988–1995. 26 indexed citations
4.
Werder, T., Jens Honoré Walther, & Petros Koumoutsakos. (2004). Hybrid atomistic–continuum method for the simulation of dense fluid flows. Journal of Computational Physics. 205(1). 373–390. 163 indexed citations
5.
Walther, Jens Honoré, T. Werder, & Petros Koumoutsakos. (2004). Multiscale Simulations Using Particles. 3 indexed citations
6.
Walther, Jens Honoré, Richard L. Jaffe, E.M. Kotsalis, et al.. (2004). Hydrophobic hydration of C60 and carbon nanotubes in water. Carbon. 42(5-6). 1185–1194. 94 indexed citations
7.
Werder, T., Jens Honoré Walther, E.M. Kotsalis, Philippe Gonnet, & Petros Koumoutsakos. (2004). Hybrid atomistic-continuum fluid mechanics. 1 indexed citations
8.
Jaffe, Richard L., Pedro Gonnet, T. Werder, Jens Honoré Walther, & Petros Koumoutsakos. (2004). Water–Carbon Interactions 2: Calibration of Potentials using Contact Angle Data for Different Interaction Models. Molecular Simulation. 30(4). 205–216. 73 indexed citations
9.
Koumoutsakos, Petros, et al.. (2003). Water-Carbon Interactions: Potential Energy Calibration Using Experimental Data. TechConnect Briefs. 3(2003). 546–548. 7 indexed citations
10.
Koumoutsakos, Petros, et al.. (2003). On the Validity of the No-Slip Condition in Nanofluidics. TechConnect Briefs. 1(2003). 148–151. 5 indexed citations
11.
Werder, T., Jens Honoré Walther, Richard L. Jaffe, T. Halicioǧlu, & Petros Koumoutsakos. (2003). On the Water−Carbon Interaction for Use in Molecular Dynamics Simulations of Graphite and Carbon Nanotubes. The Journal of Physical Chemistry B. 107(6). 1345–1352. 1141 indexed citations breakdown →
12.
Werder, T., Jens Honoré Walther, Richard L. Jaffe, Timur Halicioğlu, & Petros Koumoutsakos. (2003). On the water-carbon interaction for use in MD simulations of graphite and carbon nanotubes. 107. 1345–1352. 4 indexed citations
13.
Koumoutsakos, Petros, Jens Honoré Walther, & T. Werder. (2002). Hydrodynamics of Carbon Nanotubes Contact Angle and Hydrophobic Hydration. TechConnect Briefs. 2(2002). 490–493. 2 indexed citations
14.
Walther, Jens Honoré, Richard L. Jaffe, T. Werder, T. Halicioǧlu, & Petros Koumoutsakos. (2002). On the Boundary Condition for Water at a Hydrophobic, Dense Surface. NASA Technical Reports Server (NASA). 3 indexed citations
15.
Werder, T., K. Gerdes, Dominik Schötzau, & C. Schwab. (2001). hp-Discontinuous Galerkin time stepping for parabolic problems. Computer Methods in Applied Mechanics and Engineering. 190(49-50). 6685–6708. 63 indexed citations
16.
Werder, T., Jens Honoré Walther, Richard L. Jaffe, et al.. (2001). Molecular Dynamics Simulation of Contact Angles of Water Droplets in Carbon Nanotubes. Nano Letters. 1(12). 697–702. 208 indexed citations
17.
Noca, Flavio, Michael E. Hoenk, Brian D. Hunt, et al.. (2000). Bio-inspired acoustic sensors based on artificial stereocilia. The Journal of the Acoustical Society of America. 108(5_Supplement). 2494–2494. 4 indexed citations
18.
Werder, T., K. Gerdes, Dominik Schötzau, & C. Schwab. (2000). hp Discontinuous Galerkin Time Stepping for Parabolic Problems. Repository for Publications and Research Data (ETH Zurich). 2000(1). 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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