Scott McMichael

808 total citations · 1 hit paper
11 papers, 524 citations indexed

About

Scott McMichael is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Scott McMichael has authored 11 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Ocean Engineering. Recurrent topics in Scott McMichael's work include Satellite Image Processing and Photogrammetry (3 papers), Planetary Science and Exploration (2 papers) and Flood Risk Assessment and Management (2 papers). Scott McMichael is often cited by papers focused on Satellite Image Processing and Photogrammetry (3 papers), Planetary Science and Exploration (2 papers) and Flood Risk Assessment and Management (2 papers). Scott McMichael collaborates with scholars based in United States, Switzerland and France. Scott McMichael's co-authors include Oleg Alexandrov, R. A. Beyer, Brian Coltin, Terrence Fong, Trey Smith, Elizabeth Carter, Rachel Sleeter, Jack Eggleston, Amaury Dehecq and Alex Gardner and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and The cryosphere.

In The Last Decade

Scott McMichael

10 papers receiving 514 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.

The Ames Stereo Pipeline: NASA's Open Source Software for Deriving and Processing Terrain Data

2018 292 citations R. A. Beyer, Oleg Alexandrov et al. Earth and Space Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott McMichael United States	6	229	172	112	100	83	11	524
Chaolong Yao China	13	59 0.3×	111 0.6×	169 1.5×	142 1.4×	36 0.4×	37	425
Shih‐Yuan Lin Taiwan	12	153 0.7×	238 1.4×	25 0.2×	126 1.3×	43 0.5×	43	457
Christian Thom France	13	108 0.5×	74 0.4×	82 0.7×	251 2.5×	203 2.4×	40	624
Yunlong Wu China	13	75 0.3×	50 0.3×	190 1.7×	110 1.1×	50 0.6×	66	540
Ruya Xiao China	14	165 0.7×	51 0.3×	104 0.9×	342 3.4×	141 1.7×	32	574
S. P. Scheidt United States	12	253 1.1×	314 1.8×	31 0.3×	67 0.7×	86 1.0×	63	596
B. Berruti Netherlands	8	233 1.0×	44 0.3×	251 2.2×	134 1.3×	122 1.5×	17	717
A. Cristaldi Italy	11	155 0.7×	30 0.2×	77 0.7×	62 0.6×	50 0.6×	19	562
Β. Zhukov Russia	12	188 0.8×	118 0.7×	323 2.9×	136 1.4×	167 2.0×	63	962
Kevin Wheeler United States	12	202 0.9×	132 0.8×	26 0.2×	333 3.3×	180 2.2×	23	580

Countries citing papers authored by Scott McMichael

Since Specialization

Citations

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

Fields of papers citing papers by Scott McMichael

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott McMichael

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

11 of 11 papers shown

1.

McMichael, Scott, et al.. (2025). LuVo: Lunar Visual Odometry Using Homography-Based Image Feature Matching. 13428–13435.

2.

Carter, Elizabeth, et al.. (2023). Mapping floods from remote sensing data and quantifying the effects of surface obstruction by clouds and vegetation. Remote Sensing of Environment. 291. 113556–113556. 64 indexed citations

3.

Polashenski, Chris, et al.. (2020). Observations of sea ice melt from Operation IceBridge imagery. The cryosphere. 14(10). 3523–3536. 6 indexed citations

4.

Dehecq, Amaury, Alex Gardner, Oleg Alexandrov, et al.. (2020). Automated Processing of Declassified KH-9 Hexagon Satellite Images for Global Elevation Change Analysis Since the 1970s. Frontiers in Earth Science. 8. 59 indexed citations

5.

McMichael, Scott, Ian Chen, Steven Peters, et al.. (2019). Planetary Rover Simulation for Lunar Exploration Missions. 1–19. 37 indexed citations

6.

Beyer, R. A., Oleg Alexandrov, & Scott McMichael. (2018). NeoGeographyToolkit/StereoPipeline: NASA Ames Stereo Pipeline 2.6.1. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations

7.

Beyer, R. A., Oleg Alexandrov, & Scott McMichael. (2018). The Ames Stereo Pipeline: NASA's Open Source Software for Deriving and Processing Terrain Data. Earth and Space Science. 5(9). 537–548. 292 indexed citations breakdown →

8.

Coltin, Brian, Scott McMichael, Trey Smith, & Terrence Fong. (2016). Automatic boosted flood mapping from satellite data. International Journal of Remote Sensing. 37(5). 993–1015. 52 indexed citations

9.

McMichael, Scott, Z. M. Moratto, & R. A. Beyer. (2015). LRO-NAC Mass DTM Pipeline. LPI. 2491. 2 indexed citations

10.

Moratto, Z. M., Scott McMichael, R. A. Beyer, Oleg Alexandrov, & Terry Fong. (2014). Automated and Accurate: Making DTMs from LRO-NAC Using the Ames Stereo Pipeline. LPI. 2892. 2 indexed citations

11.

McMichael, Scott. (2008). Lane Detection for DEXTER, an Autonomous Robot, in the Urban Challenge. OhioLink ETD Center (Ohio Library and Information Network). 5 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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