Nicholas Gans

2.8k citations
146 papers · 2.1k · h-index 22

Impact in

Papers in

Nicholas Gans

140 papers receiving 2.1k citations

Peers

Nicholas Gans
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 1.1k
  • Aerospace Engineering 816
  • Control and Systems Engineering 743
  • Media Technology 262
  • Computer Networks and Communications 376
Replace Youcef Mezouar with:
Youcef Mezouar France
Libor Přeučil Czechia
Gonzalo López Nicolás Spain
Matthew Garratt Australia
Jianbo Su China
Gian Luca Mariottini United States
Jan Faigl Czechia
James Bruce United States
Juan‐Antonio Fernández‐Madrigal Spain
Pedro J. Sanz Spain
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Citations per field
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Youcef Mezouar · 1×
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 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007166
2 2014159
3 200986
4 200982
5 201069
6 202058
7 200953
8 200353
9 200951
10 201145
11 202138
12 200735
13 201231
14 202029
15 200428
16 201428
17 200627
18 200927
19 201126
20 201125

About Nicholas Gans

Nicholas Gans is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Media Technology and Computer Networks and Communications, having authored 146 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (59 papers), Robotics and Sensor-Based Localization (52 papers), Robotic Path Planning Algorithms (28 papers), Distributed Control Multi-Agent Systems (19 papers), Image Processing Techniques and Applications (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), Control and Dynamics of Mobile Robots (12 papers) and Extremum Seeking Control Systems (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Aerospace Engineering (816 citations), Control and Systems Engineering (743 citations), Media Technology (262 citations) and Computer Networks and Communications (376 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 T. MacKunis, Roozbeh Jafari, Tyler Holt Summers, Peter Corke, John G. Rogers and Yoongu Kim. Their work appears in journals such as IEEE Transactions on Robotics, Mechatronics, IEEE Transactions on Control Systems Technology, IEEE Transactions on Automatic Control and Journal of Intelligent & Robotic Systems.

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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