Robert Pinsler

656 total citations
3 papers, 68 citations indexed

About

Robert Pinsler is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Robert Pinsler has authored 3 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Control and Systems Engineering. Recurrent topics in Robert Pinsler's work include Motor Control and Adaptation (1 paper), Protein Structure and Dynamics (1 paper) and Robot Manipulation and Learning (1 paper). Robert Pinsler is often cited by papers focused on Motor Control and Adaptation (1 paper), Protein Structure and Dynamics (1 paper) and Robot Manipulation and Learning (1 paper). Robert Pinsler collaborates with scholars based in United Kingdom, Germany and Netherlands. Robert Pinsler's co-authors include Chin‐Wei Huang, Marco Orsini Federici, Frank Noé, Daniel Zügner, Rianne van den Berg, Victor García Satorras, Cecilia Clementi, José Miguel Hernández-Lobato, Jonathan Gordon and Eric Nalisnick and has published in prestigious journals such as Journal of Chemical Theory and Computation, UvA-DARE (University of Amsterdam) and Lincoln Repository (University of Lincoln).

In The Last Decade

Robert Pinsler

3 papers receiving 66 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robert Pinsler United Kingdom	3	32	31	20	19	8	3	68
Youzhi Luo China	2	30 0.9×	38 1.2×	37 1.9×	19 1.0×	8 1.0×	3	68
Mikhail Karasikov Switzerland	4	71 2.2×	25 0.8×	10 0.5×	24 1.3×	5 0.6×	7	76
Shantanu Jain United States	7	39 1.2×	9 0.3×	12 0.6×	39 2.1×	3 0.4×	17	101
Maksim Kuznetsov Canada	4	24 0.8×	24 0.8×	29 1.4×	9 0.5×	1 0.1×	8	61
Cristina González Colombia	5	11 0.3×	7 0.2×	16 0.8×	6 0.3×	7 0.9×	9	44
Dmitry Lepikhin United States	2	18 0.6×	4 0.1×	21 1.1×	6 0.3×	6 0.8×	3	30
Yingze Wang United States	3	16 0.5×	26 0.8×	9 0.5×	4 0.2×		9	44
Laura Daza Colombia	4	11 0.3×	7 0.2×	14 0.7×	6 0.3×	19 2.4×	5	45
David Baehrens Switzerland	3	11 0.3×	10 0.3×	17 0.8×	20 1.1×	1 0.1×	5	42

Countries citing papers authored by Robert Pinsler

Since Specialization

Citations

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

Fields of papers citing papers by Robert Pinsler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Pinsler

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

All Works

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3 of 3 papers shown

1.

Satorras, Victor García, Chin‐Wei Huang, Daniel Zügner, et al.. (2023). Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. Journal of Chemical Theory and Computation. 19(18). 6151–6159. 48 indexed citations

2.

Pinsler, Robert, Jonathan Gordon, Eric Nalisnick, & José Miguel Hernández-Lobato. (2019). Bayesian Batch Active Learning as Sparse Subset Approximation. UvA-DARE (University of Amsterdam). 32. 6356–6367. 12 indexed citations

3.

Pinsler, Robert, Riad Akrour, Takayuki Osa, Jan Peters, & Gerhard Neumann. (2018). Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. Lincoln Repository (University of Lincoln). 596–601. 8 indexed citations

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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