Robert Paolini

14 total papers · 651 total citations
10 papers, 394 citations indexed

About

Robert Paolini is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert Paolini has authored 10 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 4 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert Paolini's work include Robot Manipulation and Learning (8 papers), Robotic Mechanisms and Dynamics (6 papers) and Motor Control and Adaptation (2 papers). Robert Paolini is often cited by papers focused on Robot Manipulation and Learning (8 papers), Robotic Mechanisms and Dynamics (6 papers) and Motor Control and Adaptation (2 papers). Robert Paolini collaborates with scholars based in United States and Switzerland. Robert Paolini's co-authors include Matthew T. Mason, Siddhartha S Srinivasa, Ivan Lundberg, Thomas Fuhlbrigge, Nikhil Chavan-Dafle, Harald Staab, Alberto Rodríguez, Michael Erdmann, J. Andrew Bagnell and Drew Bagnell and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Robert Paolini

10 papers receiving 380 citations

Author Peers

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

Author Last Decade Papers Cites
Robert Paolini 352 209 99 99 58 10 394
Nikhil Chavan-Dafle 384 1.1× 234 1.1× 92 0.9× 120 1.2× 48 0.8× 15 432
Ivan Lundberg 321 0.9× 187 0.9× 61 0.6× 106 1.1× 42 0.7× 8 409
L. Han 348 1.0× 215 1.0× 57 0.6× 107 1.1× 15 0.3× 14 390
Marek Kopicki 321 0.9× 175 0.8× 136 1.4× 89 0.9× 80 1.4× 18 411
Jeffrey C. Trinkle 316 0.9× 115 0.6× 42 0.4× 71 0.7× 25 0.4× 17 365
Martin Lawitzky 302 0.9× 155 0.7× 48 0.5× 150 1.5× 62 1.1× 11 444
Jianlan Luo 286 0.8× 158 0.8× 66 0.7× 72 0.7× 135 2.3× 14 414
José Ramón Medina 278 0.8× 130 0.6× 49 0.5× 80 0.8× 75 1.3× 20 370
James M. Bern 196 0.6× 232 1.1× 67 0.7× 144 1.5× 36 0.6× 14 394
Yuqiang Wu 331 0.9× 128 0.6× 28 0.3× 112 1.1× 24 0.4× 23 422

Countries citing papers authored by Robert Paolini

Since Specialization
Citations

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

Fields of papers citing papers by Robert Paolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Paolini

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