Stephen Nuske

1.9k citations
44 papers · 1.5k · h-index 23

Impact in

Papers in

Stephen Nuske

42 papers receiving 1.5k citations

Peers

Stephen Nuske
Comparison fields: 5 of 84
  • Analytical Chemistry 241
  • Computer Vision and Pattern Recognition 506
  • Plant Science 855
  • Aerospace Engineering 472
  • Environmental Engineering 254
Replace Filipe Neves dos Santos with:
Filipe Neves dos Santos Portugal
Supreeth Achar United States
Raghav Khanna Switzerland
Lufeng Luo China
Alberto Pretto Italy
Marija Popović Germany
Jifeng Ning China
Wolfgang Förstner Germany
Zetao Chen Switzerland
Mark Whitty Australia
Stephen Nuske relative to Filipe Neves dos Santos Portugal Filipe Neves dos Santos's profile →
Citations per field
00.5×5×10.4×
Filipe Neves dos Santos · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Stephen Nuske, 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 Nuske Line = papers co-authored together Stephen Nuske links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013193
2 2014189
3 2011148
4 2016127
5 2012119
6 201162
7 201653
8 201650
9 201545
10 201745
11 201244
12 201635
13 201434
14 201333
15 201033
16 201331
17 201130
18 201628
19 201126
20 201426

About Stephen Nuske

Stephen Nuske is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Plant Science, Ecology and Environmental Engineering, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Horticultural and Viticultural Research (11 papers), Remote Sensing in Agriculture (11 papers), Advanced Vision and Imaging (11 papers), Smart Agriculture and AI (10 papers), Robotic Path Planning Algorithms (7 papers), Remote Sensing and LiDAR Applications (7 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Analytical Chemistry (241 citations), Computer Vision and Pattern Recognition (506 citations), Plant Science (855 citations), Aerospace Engineering (472 citations) and Environmental Engineering (254 citations). Stephen Nuske has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Sanjiv Singh, Supreeth Achar, Srinivasa G. Narasimhan, Sebastian Scherer, Luke Yoder, Marcel Bergerman, Qi Wang, Andrew Chambers, Joern Rehder and Yu Song. Their work appears in journals such as Springer tracts in advanced robotics, Journal of Field Robotics, Autonomous Robots, Sensors and Australian Journal of Grape and Wine Research.

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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