Ryan W. Wolcott

844 total citations · 1 hit paper
9 papers, 597 citations indexed

About

Ryan W. Wolcott is a scholar working on Aerospace Engineering, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryan W. Wolcott has authored 9 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 5 papers in Environmental Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryan W. Wolcott's work include Robotics and Sensor-Based Localization (7 papers), Remote Sensing and LiDAR Applications (5 papers) and 3D Surveying and Cultural Heritage (4 papers). Ryan W. Wolcott is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Remote Sensing and LiDAR Applications (5 papers) and 3D Surveying and Cultural Heritage (4 papers). Ryan W. Wolcott collaborates with scholars based in United States. Ryan W. Wolcott's co-authors include Ryan M. Eustice, Jeffrey M. Walls, Fernando Nobre, Christoffer Heckman, Joshua G. Mangelson and Chunzhao Guo and has published in prestigious journals such as The International Journal of Robotics Research.

In The Last Decade

Ryan W. Wolcott

9 papers receiving 570 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.

Visual localization within LIDAR maps for automated urban driving

2014 276 citations Ryan W. Wolcott, Ryan M. Eustice profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan W. Wolcott United States	5	439	312	178	143	132	9	597
Gon-Woo Kim South Korea	11	364 0.8×	343 1.1×	94 0.5×	119 0.8×	85 0.6×	61	575
Louis Wiesmann Germany	14	459 1.0×	357 1.1×	241 1.4×	64 0.4×	75 0.6×	27	715
Hyungtae Lim South Korea	16	569 1.3×	369 1.2×	277 1.6×	102 0.7×	65 0.5×	33	783
Renaud Dubé Switzerland	14	469 1.1×	385 1.2×	109 0.6×	116 0.8×	68 0.5×	20	675
Huan Yin China	15	486 1.1×	326 1.0×	159 0.9×	204 1.4×	43 0.3×	41	655
Alireza Asvadi Portugal	10	215 0.5×	380 1.2×	184 1.0×	57 0.4×	229 1.7×	18	631
Young-Sik Shin South Korea	12	543 1.2×	448 1.4×	122 0.7×	169 1.2×	36 0.3×	32	763
Benedikt Mersch Germany	10	417 0.9×	343 1.1×	200 1.1×	36 0.3×	102 0.8×	17	647
Masashi Yokozuka Japan	10	415 0.9×	257 0.8×	174 1.0×	78 0.5×	32 0.2×	38	555
Matthew Gadd United Kingdom	12	399 0.9×	236 0.8×	99 0.6×	183 1.3×	92 0.7×	28	583

Countries citing papers authored by Ryan W. Wolcott

Since Specialization

Citations

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

Fields of papers citing papers by Ryan W. Wolcott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan W. Wolcott. 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 Ryan W. Wolcott. The network helps show where Ryan W. Wolcott may publish in the future.

Co-authorship network of co-authors of Ryan W. Wolcott

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan W. Wolcott. A scholar is included among the top collaborators of Ryan W. Wolcott 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 Ryan W. Wolcott. Ryan W. Wolcott 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:

9 of 9 papers shown

1.

Guo, Chunzhao, Ryan W. Wolcott, & Jeffrey M. Walls. (2021). Lane Map Generation in Rectified Raster Maps with Past Vehicle Traces. 967–973. 1 indexed citations

2.

Walls, Jeffrey M., et al.. (2020). 2D to 3D Line-Based Registration with Unknown Associations via Mixed-Integer Programming. 11046–11052. 1 indexed citations

3.

Nobre, Fernando, et al.. (2018). Online Probabilistic Change Detection in Feature-Based Maps. 3661–3668. 10 indexed citations

4.

Wolcott, Ryan W. & Ryan M. Eustice. (2017). Robust LIDAR localization using multiresolution Gaussian mixture maps for autonomous driving. The International Journal of Robotics Research. 36(3). 292–319. 123 indexed citations

5.

Wolcott, Ryan W., et al.. (2017). A learning approach for real-time temporal scene flow estimation from LIDAR data. 5666–5673. 42 indexed citations

6.

Wolcott, Ryan W. & Ryan M. Eustice. (2016). Probabilistic Obstacle Partitioning of Monocular Video for Autonomous Vehicles. 128.1–128.12. 2 indexed citations

7.

Mangelson, Joshua G., et al.. (2016). Robust visual fiducials for skin-to-skin relative ship pose estimation. 28. 1–8. 2 indexed citations

8.

Wolcott, Ryan W. & Ryan M. Eustice. (2015). Fast LIDAR localization using multiresolution Gaussian mixture maps. 2814–2821. 140 indexed citations

9.

Wolcott, Ryan W. & Ryan M. Eustice. (2014). Visual localization within LIDAR maps for automated urban driving. 176–183. 276 indexed citations breakdown →

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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