Marco Münchhof

41 total papers · 985 total citations
11 papers, 605 citations indexed

About

Marco Münchhof is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Marco Münchhof has authored 11 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Control and Systems Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Marco Münchhof's work include Hydraulic and Pneumatic Systems (8 papers), Fault Detection and Control Systems (5 papers) and Control Systems in Engineering (4 papers). Marco Münchhof is often cited by papers focused on Hydraulic and Pneumatic Systems (8 papers), Fault Detection and Control Systems (5 papers) and Control Systems in Engineering (4 papers). Marco Münchhof collaborates with scholars based in Germany. Marco Münchhof's co-authors include Rolf Isermann, Rolf Isermann, Andreas Schwung and M. Beck and has published in prestigious journals such as at - Automatisierungstechnik, Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) and TUbilio (Technical University of Darmstadt).

In The Last Decade

Marco Münchhof

9 papers receiving 572 citations

Hit Papers

Identification of Dynamic... 2010 2026 2015 2020 2010 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Marco Münchhof 350 158 104 69 60 11 605
Shilpa Sondkar 366 1.0× 101 0.6× 129 1.2× 61 0.9× 44 0.7× 20 586
Qibo Yang 158 0.5× 194 1.2× 98 0.9× 93 1.3× 67 1.1× 19 588
Rakesh Borase 337 1.0× 93 0.6× 115 1.1× 57 0.8× 43 0.7× 7 548
Wanze Lu 141 0.4× 124 0.8× 134 1.3× 44 0.6× 61 1.0× 14 570
Max Schwenzer 340 1.0× 177 1.1× 155 1.5× 49 0.7× 57 0.9× 19 631
Hasan Alli 308 0.9× 200 1.3× 86 0.8× 87 1.3× 26 0.4× 22 680
Pak-Kin Wong 240 0.7× 110 0.7× 136 1.3× 204 3.0× 87 1.4× 28 655
Dragan Pršić 205 0.6× 125 0.8× 59 0.6× 120 1.7× 18 0.3× 17 527
Wenyan Bai 502 1.4× 96 0.6× 100 1.0× 45 0.7× 37 0.6× 17 584
Muzaffer Ay 320 0.9× 98 0.6× 126 1.2× 49 0.7× 57 0.9× 14 543

Countries citing papers authored by Marco Münchhof

Since Specialization
Citations

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

Fields of papers citing papers by Marco Münchhof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Münchhof

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Münchhof. A scholar is included among the top collaborators of Marco Münchhof 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 Marco Münchhof. Marco Münchhof 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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