Paul Vernaza

1.8k total citations · 1 hit paper
19 papers, 915 citations indexed

About

Paul Vernaza is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Paul Vernaza has authored 19 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Paul Vernaza's work include Robotic Path Planning Algorithms (8 papers), Robot Manipulation and Learning (6 papers) and Robotic Mechanisms and Dynamics (5 papers). Paul Vernaza is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Robot Manipulation and Learning (6 papers) and Robotic Mechanisms and Dynamics (5 papers). Paul Vernaza collaborates with scholars based in United States and United Kingdom. Paul Vernaza's co-authors include Manmohan Chandraker, Christopher Choy, Wongun Choi, Philip H. S. Torr, Namhoon Lee, Daniel D. Lee, Daniel Lee, Ben Taskar, Maxim Likhachev and John Spletzer and has published in prestigious journals such as The International Journal of Robotics Research, Journal of Field Robotics and Scholarworks@UNIST (Ulsan National Institute of Science and Technology).

In The Last Decade

Paul Vernaza

19 papers receiving 877 citations

Hit Papers

align trajectories sort by overperformance

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.

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

2017 624 citations Namhoon Lee, Wongun Choi et al. Scholarworks@UNIST (Ulsan National Institute of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Vernaza United States	9	620	516	286	210	160	19	915
Ming-Fang Chang Taiwan	7	579 0.9×	570 1.1×	208 0.7×	134 0.6×	107 0.7×	12	1.0k
Tobias Gindele Germany	15	713 1.1×	337 0.7×	233 0.8×	148 0.7×	338 2.1×	16	977
Dizan Vasquez France	10	857 1.4×	571 1.1×	313 1.1×	290 1.4×	371 2.3×	18	1.3k
Christopher Choy United States	10	563 0.9×	770 1.5×	292 1.0×	205 1.0×	119 0.7×	14	1.4k
Georges S. Aoude United States	11	447 0.7×	303 0.6×	148 0.5×	157 0.7×	197 1.2×	12	719
Sławomir Bąk France	9	577 0.9×	984 1.9×	236 0.8×	150 0.7×	84 0.5×	14	1.4k
Nico Kaempchen Germany	15	674 1.1×	329 0.6×	225 0.8×	132 0.6×	258 1.6×	20	1.0k
Volker Willert Germany	16	431 0.7×	342 0.7×	133 0.5×	147 0.7×	169 1.1×	72	924
Hang Zhao China	9	548 0.9×	334 0.6×	202 0.7×	179 0.9×	131 0.8×	23	828
Qinhong Jiang China	10	505 0.8×	578 1.1×	207 0.7×	170 0.8×	71 0.4×	13	925

Countries citing papers authored by Paul Vernaza

Since Specialization

Citations

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

Fields of papers citing papers by Paul Vernaza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Vernaza

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Lee, Namhoon, Wongun Choi, Paul Vernaza, et al.. (2017). DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 2165–2174. 624 indexed citations breakdown →

Vernaza, Paul, et al.. (2015). Learning product set models of fault triggers in high-dimensional software interfaces. 3506–3511. 6 indexed citations

Yershov, Dmitry, Paul Vernaza, & Steven M. LaValle. (2013). Continuous planning with winding constraints using optimal heuristic-driven front propagation. 5 indexed citations

Narayanan, Venkatraman, Paul Vernaza, Maxim Likhachev, & Steven M. LaValle. (2013). Planning under topological constraints using beam-graphs. 431–437. 10 indexed citations

Vernaza, Paul & Drew Bagnell. (2012). Efficient high dimensional maximum entropy modeling via symmetric partition functions. Neural Information Processing Systems. 25. 575–583. 11 indexed citations

Vernaza, Paul & Daniel D. Lee. (2012). Learning and exploiting low-dimensional structure for efficient holonomic motion planning in high-dimensional spaces. The International Journal of Robotics Research. 31(14). 1739–1760. 6 indexed citations

Vernaza, Paul, Venkatraman Narayanan, & Maxim Likhachev. (2012). Efficiently finding optimal winding-constrained loops in the plane. 7 indexed citations

Vernaza, Paul & Daniel D. Lee. (2011). Learning Dimensional Descent planning for a highly-articulated robot arm. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2186–2191. 1 indexed citations

Vernaza, Paul & Daniel D. Lee. (2011). Efficient dynamic programming for high-dimensional, optimal motion planning by spectral learning of approximate value function symmetries. 6121–6127. 5 indexed citations

10.

Vernaza, Paul. (2011). Efficient learning and inference for high-dimensional Lagrangian systems. Scholarly Commons (University of Pennsylvania). 1 indexed citations

11.

Vernaza, Paul & Daniel Lee. (2011). Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 1126–1132. 9 indexed citations

12.

Vernaza, Paul, Daniel D. Lee, & Seung‐Joon Yi. (2010). Learning and planning high-dimensional physical trajectories via structured Lagrangians. 31. 846–852. 3 indexed citations

13.

Vernaza, Paul & Daniel D. Lee. (2010). Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields. 2. 3102–3107. 2 indexed citations

14.

Vernaza, Paul, et al.. (2009). Search-based planning for a legged robot over rough terrain. 2380–2387. 42 indexed citations

15.

Bohren, J. Aislinn, Tully Foote, Alex Kushleyev, et al.. (2008). Little Ben: The Ben Franklin Racing Team's entry in the 2007 DARPA Urban Challenge. Journal of Field Robotics. 25(9). 598–614. 113 indexed citations

16.

Vernaza, Paul, Ben Taskar, & Daniel D. Lee. (2008). Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. 2750–2757. 43 indexed citations

17.

Vernaza, Paul, et al.. (2006). Rao-Blackwellized particle filtering for 6-DOF estimation of attitude and position via GPS and inertial sensors. 50. 1571–1578. 13 indexed citations

18.

Lin, Yiting, et al.. (2005). Cooperative relative robot localization with audible acoustic sensing. 3764–3769. 13 indexed citations

19.

Cohen, David, Yao Hua Ooi, Paul Vernaza, & Daniel D. Lee. (1987). The University of Pennsylvania Robocup 2004 legged soccer team. 1 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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