Paul Michelman

948 citations
20 papers · 633 indexed · h-index 9
Topics
Robot Manipulation and Learning (11 papers)Tactile and Sensory Interactions (5 papers)Soft Robotics and Applications (4 papers)
Partner nations
United States

In The Last Decade

Paul Michelman

19 papers receiving 602 citations

Peers

Paul Michelman
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 311
  • Control and Systems Engineering 305
  • Biomedical Engineering 159
  • Aerospace Engineering 158
  • Media Technology 122
Replace Enric Cervera with:
Enric Cervera Spain
Pedram Azad Germany
Dinesh Jayaraman United States
Kai Huebner Sweden
Tinsley A. Galyean United States
Gianluca Paravati Italy
Arnau Ramisa Spain
Gregory K. Tharp United States
Jonathan Tremblay Canada
Aleksandar Jevtić Spain
Paul Michelman relative to Enric Cervera Spain Enric Cervera's profile →
Citations per field
00.5×2.7×
Enric Cervera · 1×
Citations per year

Countries citing papers authored by Paul Michelman

Since Specialization
Citations

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

Fields of papers citing papers by Paul Michelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Michelman

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Michelman. A scholar is included among the top collaborators of Paul Michelman 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 Paul Michelman. Paul Michelman 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
#WorkIndexed citations
1
What the Digital Future Holds
0
2
4 Predicting a Future Where the Future Is Routinely Predicted
4
3
12 Unleashing Creativity with Digital Technology
1
4
17 Why Digital Transformation Needs a Heart
18
5
5 Using Artificial Intelligence to Set Information Free
6
6
In boardrooms, the same is a shame
3
7 3
8 21
9 4
10 18
11 28
12 24
13 42
14 1
15
Precision manipulation with a dextrous robot hand
3
16 329
17 1
18 114
19 11
20 2

About Paul Michelman

Paul Michelman is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Human-Computer Interaction, having authored 20 papers that have together received 633 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Tactile and Sensory Interactions (5 papers) and Soft Robotics and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (311 citations), Media Technology (122 citations) and Control and Systems Engineering (305 citations). Paul Michelman has collaborated with scholars based in United States. Frequent co-authors include Peter K. Allen, Billibon H. Yoshimi, A. Timčenko, Peter Allen, Mehmet C. Öz, Howard R. Levin and Asim F. Choudhri. Their work appears in journals such as Computer, IEEE Transactions on Robotics and Automation and ASAIO Journal.

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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