Mitch Bryson

2.3k total citations
48 papers, 1.6k citations indexed

About

Mitch Bryson is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Mitch Bryson has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Aerospace Engineering, 19 papers in Computer Vision and Pattern Recognition and 13 papers in Environmental Engineering. Recurrent topics in Mitch Bryson's work include Robotics and Sensor-Based Localization (20 papers), Remote Sensing and LiDAR Applications (13 papers) and 3D Surveying and Cultural Heritage (12 papers). Mitch Bryson is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Remote Sensing and LiDAR Applications (13 papers) and 3D Surveying and Cultural Heritage (12 papers). Mitch Bryson collaborates with scholars based in Australia, United States and Spain. Mitch Bryson's co-authors include Salah Sukkarieh, Stefan B. Williams, Matthew Johnson‐Roberson, Oscar Pizarro, Lloyd Windrim, Ariell Friedman, Calvin Hung, Maria Byrne, Renata Ferrari and Will F. Figueira and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Global Change Biology.

In The Last Decade

Mitch Bryson

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitch Bryson Australia 25 609 506 450 377 261 48 1.6k
Matthew Johnson‐Roberson United States 26 754 1.2× 999 2.0× 448 1.0× 170 0.5× 288 1.1× 96 2.4k
Jens Leitloff Germany 15 250 0.4× 558 1.1× 433 1.0× 549 1.5× 156 0.6× 38 1.9k
Nuno Gracias Spain 27 880 1.4× 943 1.9× 438 1.0× 96 0.3× 123 0.5× 96 2.3k
Heiner Kuhlmann Germany 27 588 1.0× 325 0.6× 713 1.6× 1.1k 2.9× 701 2.7× 119 2.5k
Ralf Reulke Germany 15 324 0.5× 278 0.5× 264 0.6× 390 1.0× 270 1.0× 122 1.5k
Ian Mahon Australia 14 465 0.8× 362 0.7× 214 0.5× 59 0.2× 129 0.5× 19 975
Sagi Filin Israel 25 440 0.7× 284 0.6× 361 0.8× 999 2.6× 893 3.4× 111 1.8k
Carl Salvaggio United States 14 220 0.4× 376 0.7× 568 1.3× 567 1.5× 233 0.9× 77 1.7k
I. Colomina Spain 10 836 1.4× 287 0.6× 542 1.2× 1.4k 3.7× 1.2k 4.5× 60 2.5k
Jin‐Yong Jeong South Korea 19 526 0.9× 439 0.9× 156 0.3× 216 0.6× 187 0.7× 72 1.3k

Countries citing papers authored by Mitch Bryson

Since Specialization
Citations

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

Fields of papers citing papers by Mitch Bryson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitch Bryson

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

All Works

20 of 20 papers shown
1.
Watt, Michael S., et al.. (2025). Predicting Tree-Level Diameter and Volume for Radiata Pine Using UAV LiDAR-Derived Metrics Across a National Trial Series in New Zealand. Remote Sensing. 17(8). 1456–1456. 2 indexed citations
2.
Bryson, Mitch, et al.. (2024). Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees. SHILAP Revista de lepidopterología. 14. 100078–100078.
3.
Bryson, Mitch, et al.. (2023). Tree Segmentation and Parameter Measurement from Point Clouds Using Deep and Handcrafted Features. Remote Sensing. 15(4). 1086–1086. 13 indexed citations
4.
Bryson, Mitch, et al.. (2023). Using Synthetic Tree Data in Deep Learning-Based Tree Segmentation Using LiDAR Point Clouds. Remote Sensing. 15(9). 2380–2380. 14 indexed citations
5.
Bryson, Mitch, et al.. (2023). BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction. IEEE Robotics and Automation Letters. 8(12). 8438–8445. 2 indexed citations
6.
Windrim, Lloyd & Mitch Bryson. (2020). Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning. Remote Sensing. 12(9). 1469–1469. 94 indexed citations
7.
Bryson, Mitch, et al.. (2017). Incorporatingin situhabitat patchiness in site selection models reveals that site fidelity is not always a consequence of animal choice. Journal of Animal Ecology. 86(4). 847–856. 12 indexed citations
8.
Bryson, Mitch, et al.. (2017). Coregistered Hyperspectral and Stereo Image Seafloor Mapping from an Autonomous Underwater Vehicle. Journal of Field Robotics. 35(3). 312–329. 28 indexed citations
9.
Pizarro, Oscar, Ariell Friedman, Mitch Bryson, Stefan B. Williams, & Joshua S. Madin. (2017). A simple, fast, and repeatable survey method for underwater visual 3D benthic mapping and monitoring. Ecology and Evolution. 7(6). 1770–1782. 67 indexed citations
10.
Bryson, Mitch, Stephanie Duce, Daniel Harris, et al.. (2016). Geomorphic changes of a coral shingle cay measured using Kite Aerial Photography. Geomorphology. 270. 1–8. 19 indexed citations
11.
Ferrari, Renata, Mitch Bryson, Tom C. L. Bridge, et al.. (2015). Quantifying the response of structural complexity and community composition to environmental change in marine communities. Global Change Biology. 22(5). 1965–1975. 85 indexed citations
12.
Bridge, Tom C. L., Renata Ferrari, Mitch Bryson, et al.. (2014). Variable Responses of Benthic Communities to Anomalously Warm Sea Temperatures on a High-Latitude Coral Reef. PLoS ONE. 9(11). e113079–e113079. 36 indexed citations
13.
Bryson, Mitch, et al.. (2013). Spectral characterization of COTS RGB cameras using a linear variable edge filter. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8660. 86600N–86600N. 20 indexed citations
14.
Bryson, Mitch, et al.. (2013). Kite Aerial Photography for Low-Cost, Ultra-high Spatial Resolution Multi-Spectral Mapping of Intertidal Landscapes. PLoS ONE. 8(9). e73550–e73550. 75 indexed citations
15.
Bryson, Mitch & Salah Sukkarieh. (2012). Vehicle Model Aided Inertial Navigation for a UAV using Low-cost Sensors. 18 indexed citations
16.
Bryson, Mitch, Matthew Johnson‐Roberson, & Richard Murphy. (2012). LOW-COST, ULTRA-HIGH SPATIAL AND TEMPORAL RESOLUTION MAPPING OF INTERTIDAL ROCK PLATFORMS. SHILAP Revista de lepidopterología. XXXIX-B8. 243–248. 2 indexed citations
17.
Bryson, Mitch, Matthew Johnson‐Roberson, Oscar Pizarro, & Stefan B. Williams. (2012). Colour-Consistent Structure-from-Motion Models using Underwater Imagery. 32 indexed citations
18.
Bryson, Mitch, Matthew Johnson‐Roberson, & Salah Sukkarieh. (2009). Airborne smoothing and mapping using vision and inertial sensors. 51 indexed citations
19.
Göktoğan, Ali Haydar, et al.. (2009). A Rotary-wing Unmanned Air Vehicle for Aquatic Weed Surveillance and Management. Journal of Intelligent & Robotic Systems. 57(1-4). 467–484. 51 indexed citations
20.
Bryson, Mitch & Salah Sukkarieh. (2008). Observability analysis and active control for airborne SLAM. IEEE Transactions on Aerospace and Electronic Systems. 44(1). 261–280. 118 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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