Nicholas Gans

2.7k citations
142 papers · 2.0k · h-index 22

Impact in

Papers in

Nicholas Gans

138 papers receiving 1.9k citations

Peers

Nicholas Gans
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 1.1k
  • Aerospace Engineering 761
  • Control and Systems Engineering 688
  • Media Technology 248
  • Computer Networks and Communications 336
Replace Youcef Mezouar with:
Youcef Mezouar France
Jianbo Su China
Gonzalo López‐Nicolás Spain
Vincenzo Lippiello Italy
Gian Luca Mariottini United States
Ashwin P. Dani United States
Guohui Tian China
Mário Sarcinelli-Filho Brazil
Aman Behal United States
Paul Oh United States
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Citations per field
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Citations per year

Countries citing papers authored by Nicholas Gans

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Gans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007157
2 2014149
3 200980
4 200978
5 201064
6 200352
7 200952
8 202051
9 200950
10 201141
11 200733
12 202132
13 201230
14 200927
15 200427
16 201125
17 202025
18 200625
19 201425
20 201125

About Nicholas Gans

Nicholas Gans is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications and Media Technology, having authored 142 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (58 papers), Robotics and Sensor-Based Localization (52 papers), Robotic Path Planning Algorithms (27 papers), Distributed Control Multi-Agent Systems (18 papers), Image Processing Techniques and Applications (15 papers), Extremum Seeking Control Systems (12 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Control and Dynamics of Mobile Robots (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Aerospace Engineering (761 citations), Control and Systems Engineering (688 citations), Media Technology (248 citations) and Computer Networks and Communications (336 citations). Nicholas Gans has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Seth Hutchinson, Warren E. Dixon, Jingfu Jin, Guoqiang Hu, William MacKunis, Peter Corke, Roozbeh Jafari, Tyler Summers, John G. Rogers and Yoongu Kim. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Transactions on Automatic Control, Mechatronics, Journal of Intelligent & Robotic Systems and IEEE Robotics and Automation Letters.

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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