Stephen Nuske

1.9k total citations
36 papers, 1.1k citations indexed

About

Stephen Nuske is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Plant Science. According to data from OpenAlex, Stephen Nuske has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Aerospace Engineering and 14 papers in Plant Science. Recurrent topics in Stephen Nuske's work include Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (9 papers) and Horticultural and Viticultural Research (9 papers). Stephen Nuske is often cited by papers focused on Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (9 papers) and Horticultural and Viticultural Research (9 papers). Stephen Nuske collaborates with scholars based in United States, Australia and United Kingdom. Stephen Nuske's co-authors include Sanjiv Singh, Supreeth Achar, Srinivasa G. Narasimhan, Sebastian Scherer, Luke Yoder, Andrew Chambers, Joern Rehder, Yu Song, Ryo Sugiura and Atsushi Itoh and has published in prestigious journals such as Sensors, Biosystems Engineering and Autonomous Robots.

In The Last Decade

Stephen Nuske

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Nuske United States 19 566 408 392 257 195 36 1.1k
Filipe Neves dos Santos Portugal 20 815 1.4× 358 0.9× 312 0.8× 188 0.7× 172 0.9× 102 1.4k
Raghav Khanna Switzerland 11 627 1.1× 309 0.8× 292 0.7× 381 1.5× 195 1.0× 18 1.2k
Supreeth Achar United States 12 368 0.7× 383 0.9× 210 0.5× 152 0.6× 119 0.6× 21 860
Marija Popović Germany 13 420 0.7× 351 0.9× 298 0.8× 245 1.0× 105 0.5× 39 951
Zetao Chen Switzerland 10 363 0.6× 471 1.2× 423 1.1× 225 0.9× 97 0.5× 20 933
Jifeng Ning China 22 386 0.7× 1.2k 2.9× 276 0.7× 225 0.9× 169 0.9× 86 2.1k
Dimosthenis C. Tsouros Greece 6 401 0.7× 149 0.4× 221 0.6× 289 1.1× 209 1.1× 14 864
Jnaneshwar Das United States 16 442 0.8× 197 0.5× 163 0.4× 189 0.7× 123 0.6× 48 1.1k
Andres Milioto Germany 12 412 0.7× 723 1.8× 547 1.4× 159 0.6× 562 2.9× 17 1.6k
Raphaël Canals France 13 862 1.5× 159 0.4× 108 0.3× 456 1.8× 209 1.1× 27 1.3k

Countries citing papers authored by Stephen Nuske

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Nuske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Nuske

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Nuske. A scholar is included among the top collaborators of Stephen Nuske 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 Stephen Nuske. Stephen Nuske 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.
Nuske, Stephen, et al.. (2018). Air-Ground Collaborative Surveillance with Human-Portable Hardware. Figshare. 2 indexed citations
2.
Nuske, Stephen, et al.. (2018). Prediction of Sorghum Bicolor Genotype from In-Situ Images Using Autoencoder-Identified SNPs. 23–31. 1 indexed citations
3.
Taylor, James A., et al.. (2018). Considerations on spatial crop load mapping. Australian Journal of Grape and Wine Research. 25(2). 144–155. 22 indexed citations
4.
Nuske, Stephen, Supreeth Achar, Kamal Kumar Gupta, Srinivasa G. Narasimhan, & Sanjiv Singh. (2018). Visual Yield Estimation in Vineyards: Experiments with Different Varietals and Calibration Procedures. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 5 indexed citations
5.
Nuske, Stephen, et al.. (2017). Early-season Vineyard Shoot and Leaf Estimation Using Computer Vision Techniques. 2017 Spokane, Washington July 16 - July 19, 2017. 4 indexed citations
6.
Fang, Zheng, Shichao Yang, Stephan Roth, et al.. (2016). Robust Autonomous Flight in Constrained and Visually Degraded Shipboard Environments. Journal of Field Robotics. 34(1). 25–52. 49 indexed citations
7.
Sugiura, Ryo, Shogo Tsuda, Seiji Tamiya, et al.. (2016). Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle. Biosystems Engineering. 148. 1–10. 119 indexed citations
8.
Nuske, Stephen, et al.. (2016). Automated Assessment and Mapping of Grape Quality through Image-based Color Analysis. IFAC-PapersOnLine. 49(16). 72–78. 25 indexed citations
9.
Sugiura, Ryo, et al.. (2015). Development of High-Throughput Field Phenotyping System Using Imagery from Unmanned Aerial Vehicle. 2015 ASABE International Meeting. 2 indexed citations
10.
Chambers, Andrew, et al.. (2014). Robust multi-sensor fusion for micro aerial vehicle navigation in GPS-degraded/denied environments. 1892–1899. 30 indexed citations
11.
Achar, Supreeth, Stephen Nuske, & Srinivasa G. Narasimhan. (2013). Compensating for Motion during Direct-Global Separation. 24. 1481–1488. 17 indexed citations
12.
Wang, Qi, Stephen Nuske, Marcel Bergerman, & Sanjiv Singh. (2012). Design of Crop Yield Estimation System for Apple Orchards Using Computer Vision. 2012 Dallas, Texas, July 29 - August 1, 2012. 4 indexed citations
13.
Scherer, Sebastian, Joern Rehder, Supreeth Achar, et al.. (2012). River mapping from a flying robot: state estimation, river detection, and obstacle mapping. Autonomous Robots. 33(1-2). 189–214. 110 indexed citations
14.
Nuske, Stephen, et al.. (2011). Yield estimation in vineyards by visual grape detection. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2352–2358. 134 indexed citations
15.
Chambers, Andrew, Supreeth Achar, Stephen Nuske, et al.. (2011). Perception for a river mapping robot. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 8 indexed citations
16.
Nuske, Stephen, Supreeth Achar, Timothy E. Bates, Srinivasa G. Narasimhan, & Sanjiv Singh. (2011). Yield estimation in vineyards by visual grape detection. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 57 indexed citations
17.
Borges, Paulo, et al.. (2010). Vision-based localization using an edge map extracted from 3D laser range data. 4902–4909. 32 indexed citations
18.
Nuske, Stephen & Manuel Yguel. (2007). Detecting moving pedestrians and vehicles in fluctuating lighting conditions. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
19.
Nuske, Stephen, Jonathan Roberts, & Gordon Wyeth. (2006). Extending the dynamic range of robotic vision. Queensland's institutional digital repository (The University of Queensland). 162–167.
20.
Ball, David, Gordon Wyeth, & Stephen Nuske. (2004). A global vision system for a robot soccer team. QUT ePrints (Queensland University of Technology). 10 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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