Christopher M. Dellin

1.1k total citations · 1 hit paper
9 papers, 582 citations indexed

About

Christopher M. Dellin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Christopher M. Dellin has authored 9 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Christopher M. Dellin's work include Robotic Path Planning Algorithms (7 papers), Optimization and Search Problems (2 papers) and Human Pose and Action Recognition (2 papers). Christopher M. Dellin is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Optimization and Search Problems (2 papers) and Human Pose and Action Recognition (2 papers). Christopher M. Dellin collaborates with scholars based in United States. Christopher M. Dellin's co-authors include Siddhartha S Srinivasa, Matthew Klingensmith, Matt Zucker, Nathan Ratliff, Anca D. Dragan, Mihail Pivtoraiko, J. Andrew Bagnell, Nancy S. Pollard, Prasanna Velagapudi and Jennifer E. King and has published in prestigious journals such as The International Journal of Robotics Research, Figshare and arXiv (Cornell University).

In The Last Decade

Christopher M. Dellin

8 papers receiving 564 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CHOMP: Covariant Hamiltonian optimization for motion planning

2013 470 citations Matt Zucker, Nathan Ratliff et al. The International Journal of Robotics Research profile →

Peers

Christopher M. Dellin

CVPR

CSE

AE

AI

BE

Ahmed H. Qureshi United States

Chonhyon Park United States

Hao-Tien Lewis Chiang United States

R. Zapata France

Y.K. Hwang United States

Boris Lau Germany

Michel Taïx France

Felipe N. Martins Brazil

Zachary Kingston United States

Shoichi Maeyama Japan

Ahmed H. Qureshi United States

Christopher M. Dellin

478 ×1.0

CVPR

242 ×0.7

CSE

309 ×1.5

AE

90 ×0.8

AI

52 ×0.5

BE

Citations per year, relative to Christopher M. Dellin Christopher M. Dellin (= 1×) peers Ahmed H. Qureshi

Countries citing papers authored by Christopher M. Dellin

Since Specialization

Citations

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

Fields of papers citing papers by Christopher M. Dellin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Dellin. 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 Christopher M. Dellin. The network helps show where Christopher M. Dellin may publish in the future.

Co-authorship network of co-authors of Christopher M. Dellin

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

All Works

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9 of 9 papers shown

1.

Klingensmith, Matthew, et al.. (2018). Closed-loop Servoing using Real-time Markerless Arm Tracking. Figshare. 4 indexed citations

2.

Dellin, Christopher M.. (2016). Completing Manipulation Tasks Efficiently in Complex Environments. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

3.

Dellin, Christopher M., et al.. (2016). Pareto-optimal search over configuration space beliefs for anytime motion planning. 1. 3742–3749. 13 indexed citations

4.

Dellin, Christopher M. & Siddhartha S Srinivasa. (2016). A Unifying Formalism for Shortest Path Problems with Expensive Edge Evaluations via Lazy Best-First Search over Paths with Edge Selectors. arXiv (Cornell University). 459–467. 17 indexed citations

5.

Dellin, Christopher M. & Siddhartha S Srinivasa. (2016). A Unifying Formalism for Shortest Path Problems with Expensive Edge Evaluations via Lazy Best-First Search over Paths with Edge Selectors. Proceedings of the International Conference on Automated Planning and Scheduling. 26. 459–467. 32 indexed citations

6.

Dellin, Christopher M. & Siddhartha S Srinivasa. (2015). A general technique for fast comprehensive multi-root planning on graphs by coloring vertices and deferring edges. 9. 5433–5440.

7.

King, Jennifer E., Matthew Klingensmith, Christopher M. Dellin, et al.. (2013). Pregrasp Manipulation as Trajectory Optimization. 37 indexed citations

8.

Zucker, Matt, Nathan Ratliff, Anca D. Dragan, et al.. (2013). CHOMP: Covariant Hamiltonian optimization for motion planning. The International Journal of Robotics Research. 32(9-10). 1164–1193. 470 indexed citations breakdown →

9.

Dellin, Christopher M. & Siddhartha S Srinivasa. (2012). A framework for extreme locomotion planning. Figshare. 26. 989–996. 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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