T. Herges

647 total citations
23 papers, 451 citations indexed

About

T. Herges is a scholar working on Aerospace Engineering, Molecular Biology and Environmental Engineering. According to data from OpenAlex, T. Herges has authored 23 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Aerospace Engineering, 10 papers in Molecular Biology and 10 papers in Environmental Engineering. Recurrent topics in T. Herges's work include Wind Energy Research and Development (13 papers), Protein Structure and Dynamics (10 papers) and Wind and Air Flow Studies (10 papers). T. Herges is often cited by papers focused on Wind Energy Research and Development (13 papers), Protein Structure and Dynamics (10 papers) and Wind and Air Flow Studies (10 papers). T. Herges collaborates with scholars based in United States, Denmark and Germany. T. Herges's co-authors include Wolfgang Wenzel, Torben Mikkelsen, Mikael Sjöholm, Brian Naughton, David Maniaci, Matthew Churchfield, Andrew Scholbrock, Qi Wang, Patrick Moriarty and Paula Doubrawa and has published in prestigious journals such as Physical Review Letters, Biophysical Journal and Journal of Computational Chemistry.

In The Last Decade

T. Herges

21 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Herges United States 12 240 168 157 136 86 23 451
Thomas Herges United States 9 69 0.3× 211 1.3× 58 0.4× 91 0.7× 158 1.8× 34 313
Changyu Hu China 13 60 0.3× 141 0.8× 56 0.4× 12 0.1× 67 0.8× 42 450
Alexander Meier Germany 11 40 0.2× 68 0.4× 47 0.3× 12 0.1× 65 0.8× 24 294
Yurii Utkin United States 14 89 0.4× 896 5.3× 74 0.5× 22 0.2× 748 8.7× 47 1.4k
Yang Yi China 11 77 0.3× 27 0.2× 64 0.4× 14 0.1× 10 0.1× 66 368
Xiaohong Zhao China 12 72 0.3× 12 0.1× 25 0.2× 43 0.3× 10 0.1× 55 496
J.R. Bowen United States 9 33 0.1× 108 0.6× 34 0.2× 7 0.1× 116 1.3× 22 356
A. Arjun Netherlands 8 86 0.4× 38 0.2× 80 0.5× 52 0.4× 10 308
Jens Struckmeier Germany 14 117 0.5× 18 0.1× 30 0.2× 6 0.0× 221 2.6× 52 622
А. В. Гетлинг Russia 9 73 0.3× 9 0.1× 26 0.2× 18 0.1× 154 1.8× 32 383

Countries citing papers authored by T. Herges

Since Specialization
Citations

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

Fields of papers citing papers by T. Herges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Herges. A scholar is included among the top collaborators of T. Herges 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. Herges. T. Herges 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.
Bodini, Nicola, Patrick Moriarty, Stefano Letizia, et al.. (2025). A perspective on lessons learned and future needs for wind energy field campaigns. Journal of Renewable and Sustainable Energy. 17(3).
2.
Brown, Kerry A., Lawrence H. Cheung, T. Herges, et al.. (2024). Estimating Uncertainties from Dual-Doppler Radar Measurements of Onshore Wind Plants Using LES. Journal of Physics Conference Series. 2767(9). 92111–92111. 2 indexed citations
3.
Herges, T., et al.. (2022). Wake state estimation of downwind turbines using recurrent neural networks for inverse dynamics modelling. Journal of Physics Conference Series. 2265(3). 32094–32094.
4.
Doubrawa, Paula, Mithu Debnath, Patrick Moriarty, et al.. (2019). Benchmarks for Model Validation based on LiDAR Wake Measurements. Journal of Physics Conference Series. 1256(1). 12024–12024. 23 indexed citations
5.
Herges, T., et al.. (2019). Robust Lidar Data Processing and Quality Control Methods Developed for the SWiFT Wake Steering Experiment. Journal of Physics Conference Series. 1256(1). 12005–12005. 15 indexed citations
6.
Kelley, Christopher, T. Herges, Luis A. Martínez‐Tossas, & Torben Mikkelsen. (2018). Wind turbine aerodynamic measurements using a scanning lidar. Journal of Physics Conference Series. 1037. 52014–52014. 5 indexed citations
7.
Herges, T., et al.. (2018). Detailed analysis of a waked turbine using a high-resolution scanning lidar. Journal of Physics Conference Series. 1037. 72009–72009. 14 indexed citations
8.
Herges, T., David Maniaci, Brian Naughton, Torben Mikkelsen, & Mikael Sjöholm. (2017). High resolution wind turbine wake measurements with a scanning lidar. Journal of Physics Conference Series. 854. 12021–12021. 51 indexed citations
9.
Mikkelsen, Torben, T. Herges, Poul Astrup, Mikael Sjöholm, & Brian Naughton. (2017). Wind field re-construction of 3D Wake measurements from a turbine-installed scanning lidar. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
10.
Churchfield, Matthew, Qi Wang, Andrew Scholbrock, et al.. (2016). Using High-Fidelity Computational Fluid Dynamics to Help Design a Wind Turbine Wake Measurement Experiment. Journal of Physics Conference Series. 753. 32009–32009. 31 indexed citations
11.
Fleming, Paul, Matthew Churchfield, Andrew Scholbrock, et al.. (2016). Detailed field test of yaw-based wake steering. Journal of Physics Conference Series. 753. 52003–52003. 33 indexed citations
12.
Verma, Abhinav, et al.. (2008). All-Atom Protein Folding with Free-Energy Forcefields. Progress in molecular biology and translational science. 83. 181–253. 1 indexed citations
13.
Herges, T. & Wolfgang Wenzel. (2005). In Silico Folding of a Three Helix Protein and Characterization of Its Free-Energy Landscape in an All-Atom Force Field. Physical Review Letters. 94(1). 18101–18101. 34 indexed citations
14.
Herges, T., et al.. (2004). Fluctuation analysis and accuracy of a large‐scale in silico screen. Journal of Computational Chemistry. 25(13). 1568–1575. 11 indexed citations
15.
Herges, T., et al.. (2004). All‐atom folding of the three‐helix HIV accessory protein with an adaptive parallel tempering method. Proteins Structure Function and Bioinformatics. 57(4). 792–798. 30 indexed citations
16.
Herges, T. & Wolfgang Wenzel. (2004). An All-Atom Force Field for Tertiary Structure Prediction of Helical Proteins. Biophysical Journal. 87(5). 3100–3109. 47 indexed citations
17.
Herges, T., et al.. (2003). Reproducible Protein Folding with the Stochastic Tunneling Method. Physical Review Letters. 91(15). 158102–158102. 92 indexed citations
18.
Herges, T., et al.. (2003). Stochastic optimization methods for structure prediction of biomolecular nanoscale systems. Nanotechnology. 14(11). 1161–1167. 9 indexed citations
19.
Herges, T., et al.. (2002). Stochastic Optimisation Methods for Biomolecular Structure Prediction. JALA Journal of the Association for Laboratory Automation. 7(3). 98–104. 7 indexed citations
20.
Herges, T.. (2002). Stochastic Optimisation Methods for Biomolecular Structure Prediction. JALA Journal of the Association for Laboratory Automation. 7(3). 98–104. 17 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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