Michael Warren

449 citations
23 papers · 254 · h-index 9

Impact in

Papers in

Michael Warren

22 papers receiving 244 citations

Peers

Michael Warren
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 184
  • Aerospace Engineering 190
  • Geology 24
  • Automotive Engineering 13
  • Control and Systems Engineering 25
Replace Franz Andert with:
Franz Andert Germany
L. Matthies United States
Andrea Cesetti Italy
Kyel Ok United States
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Jonathan Courbon France
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Citations per field
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Citations per year

Countries citing papers authored by Michael Warren

Since Specialization
Citations

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

Fields of papers citing papers by Michael Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Warren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Warren Line = papers co-authored together Michael Warren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201653
2 201838
3 201330
4
Unaided stereo vision based pose estimation
201025
5 201519
6 201513
7 201313
8 201310
9 20128
10
Graphcut-based interactive segmentation using colour and depth cues
20107
11
Visual sea-floor mapping from low overlap imagery using bi-objective bundle adjustment and constrained motion
20126
12 20196
13 20186
14 20185
15 20144
16
Feature-based visual odometry and featureless place recognition for SLAM in 2.5D environments
20113
17
Field evaluation of daylighting system performance
19862
18
INSTRUMENTATION FOR EVALUATING INTEGRATED LIGHTING SYSTEM PERFORMANCE IN A LARGE DAYLIGHTED OFFICE BUILDING
19862
19
Keystroke Biometric Authentication System Experimentation
20091
20
Vision only pose estimation andscene reconstruction on airborne platforms
20101

About Michael Warren

Michael Warren is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Building and Construction and Control and Systems Engineering, having authored 23 papers that have together received 254 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Advanced Vision and Imaging (10 papers), 3D Surveying and Cultural Heritage (5 papers), Robotic Path Planning Algorithms (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Building Energy and Comfort Optimization (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (184 citations), Aerospace Engineering (190 citations), Geology (24 citations), Automotive Engineering (13 citations) and Control and Systems Engineering (25 citations). Michael Warren has collaborated with scholars based in Australia and Canada. Frequent co-authors include Ben Upcroft, Timothy D. Barfoot, David McKinnon, Kirk MacTavish, Michael Paton, Angela P. Schoellig, Hu He, Luis Mejías, Jack Collier and Peter Corke. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, eScholarship (California Digital Library) and IFAC Proceedings Volumes.

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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