John Leichty

14 total papers · 423 total citations
8 papers, 218 citations indexed

About

John Leichty is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, John Leichty has authored 8 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Ocean Engineering. Recurrent topics in John Leichty's work include Underwater Vehicles and Communication Systems (3 papers), Robotic Path Planning Algorithms (2 papers) and Space Exploration and Technology (2 papers). John Leichty is often cited by papers focused on Underwater Vehicles and Communication Systems (3 papers), Robotic Path Planning Algorithms (2 papers) and Space Exploration and Technology (2 papers). John Leichty collaborates with scholars based in United States. John Leichty's co-authors include Jaret Matthews, Mark Maimone, M. Heverly, Jeffrey Biesiadecki, Dan A. Fuller, Justin Lin, Max Bajracharya, Jeremy Ma, James Borders and Scott Howe and has published in prestigious journals such as Journal of Field Robotics, NASA Technical Reports Server (NASA) and LPICo.

In The Last Decade

John Leichty

7 papers receiving 211 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Leichty 100 73 72 70 52 8 218
Allen Sirota 140 1.4× 70 1.0× 80 1.1× 80 1.1× 82 1.6× 10 254
Matthew Frost 89 0.9× 44 0.6× 65 0.9× 61 0.9× 42 0.8× 14 173
S. Maxwell 42 0.4× 115 1.6× 33 0.5× 134 1.9× 48 0.9× 16 277
Chai Hongyou 20 0.2× 102 1.4× 64 0.9× 227 3.2× 59 1.1× 8 293
Avi Okon 44 0.4× 50 0.7× 28 0.4× 29 0.4× 74 1.4× 12 141
Shashank Govindaraj 21 0.2× 89 1.2× 21 0.3× 120 1.7× 28 0.5× 17 215
Zixin Tang 20 0.2× 99 1.4× 72 1.0× 229 3.3× 47 0.9× 9 279
T. Ohm 182 1.8× 24 0.3× 138 1.9× 63 0.9× 102 2.0× 9 324
L. Matthies 36 0.4× 50 0.7× 29 0.4× 236 3.4× 36 0.7× 15 315
Kristin Bussmann 102 1.0× 14 0.2× 119 1.7× 34 0.5× 76 1.5× 8 193

Countries citing papers authored by John Leichty

Since Specialization
Citations

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

Fields of papers citing papers by John Leichty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Leichty

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

All Works

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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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