Harald Staab

17 total papers · 472 total citations
14 papers, 309 citations indexed

About

Harald Staab is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Harald Staab has authored 14 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Harald Staab's work include Robot Manipulation and Learning (6 papers), Soft Robotics and Applications (3 papers) and Manufacturing Process and Optimization (3 papers). Harald Staab is often cited by papers focused on Robot Manipulation and Learning (6 papers), Soft Robotics and Applications (3 papers) and Manufacturing Process and Optimization (3 papers). Harald Staab collaborates with scholars based in Germany, United States and Switzerland. Harald Staab's co-authors include Matthew T. Mason, Alberto Rodríguez, Nikhil Chavan-Dafle, Ivan Lundberg, Thomas Fuhlbrigge, Michael Erdmann, Siddhartha S Srinivasa, Robert Paolini, Björn Matthias and Gregory Rossano and has published in prestigious journals such as DSpace@MIT (Massachusetts Institute of Technology), Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and International Symposium on Robotics.

In The Last Decade

Harald Staab

14 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Harald Staab 256 165 92 50 42 14 309
Alexander Alspach 167 0.7× 198 1.2× 104 1.1× 48 1.0× 34 0.8× 13 327
Marco Costanzo 209 0.8× 170 1.0× 71 0.8× 52 1.0× 81 1.9× 30 319
Panagiotis Ν. Koustoumpardis 216 0.8× 119 0.7× 83 0.9× 37 0.7× 20 0.5× 24 330
Gennaro Raiola 213 0.8× 141 0.9× 129 1.4× 56 1.1× 23 0.5× 14 345
Hyeonjun Park 286 1.1× 164 1.0× 106 1.2× 43 0.9× 21 0.5× 13 345
Haiming Huang 136 0.5× 208 1.3× 124 1.3× 40 0.8× 30 0.7× 26 350
Pascal Weiner 166 0.6× 201 1.2× 39 0.4× 45 0.9× 52 1.2× 12 291
Simon Haddadin 191 0.7× 133 0.8× 76 0.8× 52 1.0× 18 0.4× 9 334
Yongxiang Fan 216 0.8× 122 0.7× 43 0.5× 85 1.7× 18 0.4× 21 261
Maged Iskandar 210 0.8× 114 0.7× 138 1.5× 31 0.6× 45 1.1× 18 317

Countries citing papers authored by Harald Staab

Since Specialization
Citations

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

Fields of papers citing papers by Harald Staab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harald Staab

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