Stephen Vidas

559 citations
14 papers · 392 · h-index 10

Impact in

Papers in

Stephen Vidas

14 papers receiving 372 citations

Peers

Stephen Vidas
Comparison fields: 5 of 47
  • Geology 101
  • Computer Vision and Pattern Recognition 237
  • Aerospace Engineering 228
  • Conservation 15
  • Media Technology 25
Replace Rudi Penne with:
Rudi Penne Belgium
Jia Sun China
Parham Nooralishahi Canada
Hiromitsu Fujii Japan
Paolo Pingi Italy
Sven Wursthorn Germany
Jae Shin Yoon United States
Zhanxiong Ma South Korea
Kibaek Park South Korea
Weixun Zuo Hong Kong
Stephen Vidas relative to Rudi Penne Belgium Rudi Penne's profile →
Citations per field
00.5×4.8×
Rudi Penne · 1×
Citations per year

Countries citing papers authored by Stephen Vidas

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Vidas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Stephen Vidas, 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 Stephen Vidas Line = papers co-authored together Stephen Vidas links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013115
2 201654
3 201436
4 201834
5 201231
6 201631
7
Towards robust night and day place recognition using visible and thermal imaging
201229
8 201524
9 201413
10 20119
11 20125
12 20135
13
Spectra: 3D multispectral fusion and visualization toolkit
20144
14 20132

About Stephen Vidas

Stephen Vidas is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Media Technology and Building and Construction, having authored 14 papers that have together received 392 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (7 papers), Thermography and Photoacoustic Techniques (4 papers), Robotics and Sensor-Based Localization (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Building Energy and Comfort Optimization (3 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Geology (101 citations), Computer Vision and Pattern Recognition (237 citations), Aerospace Engineering (228 citations), Conservation (15 citations) and Media Technology (25 citations). Stephen Vidas has collaborated with scholars based in Australia, Singapore and Italy. Frequent co-authors include Peyman Moghadam, Michael Bosse, Sridha Sridharan, Chien Chern Cheah, Nabil Aouf, Xiang Li, Tim Wark, Simon Denman, Albert Causo and K. H. Low. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Energy and Buildings, IEEE Sensors Journal, Journal of Intelligent & Robotic Systems and IEEE Transactions on Control Systems Technology.

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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