Peter Terwiesch

37 total papers · 614 total citations
26 papers, 469 citations indexed

About

Peter Terwiesch is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Terwiesch has authored 26 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 7 papers in Industrial and Manufacturing Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Terwiesch's work include Advanced Control Systems Optimization (10 papers), Fault Detection and Control Systems (10 papers) and Railway Systems and Energy Efficiency (6 papers). Peter Terwiesch is often cited by papers focused on Advanced Control Systems Optimization (10 papers), Fault Detection and Control Systems (10 papers) and Railway Systems and Energy Efficiency (6 papers). Peter Terwiesch collaborates with scholars based in Switzerland, Germany and Sweden. Peter Terwiesch's co-authors include D.W.T. Rippin, Mukul Agarwal, Thomas Keller, Monika Agarwal, Paolo Mercorelli, Marc Garland, Guido Sand, Gheorghe Maria, Domenico Prattichizzo and Alessandro Astolfi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Analytica Chimica Acta and AIChE Journal.

In The Last Decade

Peter Terwiesch

23 papers receiving 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Terwiesch 258 139 119 63 57 26 469
Xiao Wang 355 1.4× 27 0.2× 96 0.8× 18 0.3× 50 0.9× 26 497
Mounib Khanafer 101 0.4× 30 0.2× 50 0.4× 43 0.7× 136 2.4× 35 512
Jan Kronqvist 265 1.0× 49 0.4× 24 0.2× 8 0.1× 82 1.4× 25 516
Yanhai Yang 33 0.1× 164 1.2× 23 0.2× 34 0.5× 20 0.4× 38 449
Pengcheng Jiang 341 1.3× 30 0.2× 206 1.7× 32 0.5× 37 0.6× 26 455
J. Rajesh 223 0.9× 47 0.3× 88 0.7× 6 0.1× 22 0.4× 14 506
Andreas Lundell 237 0.9× 53 0.4× 22 0.2× 8 0.1× 68 1.2× 18 428
Ana Carolina Olivera 266 1.0× 75 0.5× 9 0.1× 220 3.5× 38 0.7× 30 504
Xiong Zhang 307 1.2× 16 0.1× 204 1.7× 9 0.1× 36 0.6× 41 416
Francisco Trespalacios 319 1.2× 73 0.5× 42 0.4× 3 0.0× 49 0.9× 15 446

Countries citing papers authored by Peter Terwiesch

Since Specialization
Citations

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

Fields of papers citing papers by Peter Terwiesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Terwiesch

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

All Works

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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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