Holger Diedam

1.0k total citations
11 papers, 445 citations indexed

About

Holger Diedam is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Holger Diedam has authored 11 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Biomedical Engineering. Recurrent topics in Holger Diedam's work include Computational Drug Discovery Methods (3 papers), Robotic Locomotion and Control (3 papers) and Advanced Control Systems Optimization (2 papers). Holger Diedam is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Robotic Locomotion and Control (3 papers) and Advanced Control Systems Optimization (2 papers). Holger Diedam collaborates with scholars based in Germany, France and Belgium. Holger Diedam's co-authors include Pierre-Brice Wieber, Moritz Diehl, Dimitar Dimitrov, Katja Mombaur, Sebastian Säger, Andreas H. Göller, Wolfgang Peukert, Stephan Menz, Andrea Grüber and Hans Georg Bock and has published in prestigious journals such as Journal of Pharmaceutical Sciences, SIAM Journal on Optimization and Pharmaceutics.

In The Last Decade

Holger Diedam

11 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Holger Diedam Germany	8	344	141	75	53	48	11	445
Sangwoo Seo South Korea	6	76 0.2×	194 1.4×	30 0.4×	5 0.1×	47 1.0×	9	402
Zeren Luo Hong Kong	5	156 0.5×	77 0.5×	21 0.3×	17 0.3×	2 0.0×	10	218
Haiyan Tu China	9	86 0.3×	97 0.7×	4 0.1×	52 1.0×	16 0.3×	32	313
Yuying Guo China	11	31 0.1×	150 1.1×	2 0.0×	17 0.3×	32 0.7×	47	342
Alexander Pérez Spain	10	64 0.2×	168 1.2×	8 0.1×	135 2.5×	14 0.3×	26	269
M. S. Alam United Kingdom	9	60 0.2×	100 0.7×	1 0.0×	21 0.4×	22 0.5×	28	268
Lifu Wu China	13	155 0.5×	49 0.3×	1 0.0×	17 0.3×	13 0.3×	23	483
Pingping Zhang China	9	121 0.4×	13 0.1×		110 2.1×	26 0.5×	35	375
Seiya Nakagawa Japan	7	117 0.3×	99 0.7×		55 1.0×	18 0.4×	12	399
Young Jin Heo South Korea	5	101 0.3×	80 0.6×		69 1.3×	16 0.3×	10	285

Countries citing papers authored by Holger Diedam

Since Specialization

Citations

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

Fields of papers citing papers by Holger Diedam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Diedam

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

All Works

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11 of 11 papers shown

Grüber, Andrea, et al.. (2024). A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat. Journal of Computer-Aided Molecular Design. 38(1). 7–7. 8 indexed citations

Grüber, Andrea, et al.. (2023). Prediction of Human Pharmacokinetics From Chemical Structure: Combining Mechanistic Modeling with Machine Learning. Journal of Pharmaceutical Sciences. 113(1). 55–63. 14 indexed citations

Seep, Lea, et al.. (2021). Ensemble completeness in conformer sampling: the case of small macrocycles. Journal of Cheminformatics. 13(1). 55–55. 5 indexed citations

Diedam, Holger, et al.. (2020). Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations—A Particle Technology Perspective. Pharmaceutics. 13(1). 22–22. 18 indexed citations

Müller, Christian, et al.. (2020). A neural network assisted Metropolis adjusted Langevin algorithm. Monte Carlo Methods and Applications. 26(2). 93–111. 2 indexed citations

Diedam, Holger & Sebastian Säger. (2017). Global optimal control with the direct multiple shooting method. Optimal Control Applications and Methods. 39(2). 449–470. 21 indexed citations

Säger, Sebastian, et al.. (2011). Optimization as an Analysis Tool for Human Complex Problem Solving. SIAM Journal on Optimization. 21(3). 936–959. 1 indexed citations

Diedam, Holger, et al.. (2010). Online Walking Motion Generation with Automatic Footstep Placement. Advanced Robotics. 24(5-6). 719–737. 217 indexed citations

Dimitrov, Dimitar, Pierre-Brice Wieber, Olivier Stasse, Hans Joachim Ferreau, & Holger Diedam. (2009). An optimized Linear Model Predictive Control solver for online walking motion generation. HAL (Le Centre pour la Communication Scientifique Directe). 1171–1176. 13 indexed citations

10.

Diedam, Holger, Dimitar Dimitrov, Pierre-Brice Wieber, Katja Mombaur, & Moritz Diehl. (2008). Online walking gait generation with adaptive foot positioning through Linear Model Predictive control. HAL (Le Centre pour la Communication Scientifique Directe). 1121–1126. 130 indexed citations

11.

Diehl, Moritz, Hans Georg Bock, Holger Diedam, & Pierre-Brice Wieber. (2005). Fast Direct Multiple Shooting Algorithms for Optimal Robot Control. HAL (Le Centre pour la Communication Scientifique Directe). 16 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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