S. Waydo

788 citations
16 papers · 524 · h-index 12

Impact in

Papers in

S. Waydo

16 papers receiving 480 citations

Peers

S. Waydo
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 175
  • Aerospace Engineering 170
  • Cognitive Neuroscience 124
  • Computer Networks and Communications 118
  • Biophysics 27
Replace Kazuhiro Shimonomura with:
Kazuhiro Shimonomura Japan
Christian Brändli Switzerland
Takashi Komuro Japan
César Torres-Huitzil Mexico
Daniel Gehrig Switzerland
Jean-Daniel Nicoud Switzerland
Silvio P. Sabatini Italy
R. Bajcsy United States
Sabira Khatun Malaysia
Bernd Michaelis Germany
S. Waydo relative to Kazuhiro Shimonomura Japan Kazuhiro Shimonomura's profile →
Citations per field
00.5×4.1×
Kazuhiro Shimonomura · 1×
Citations per year

Countries citing papers authored by S. Waydo

Since Specialization
Citations

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

Fields of papers citing papers by S. Waydo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2006117
2 2004114
3 200346
4 200942
5 200442
6 200435
7 200334
8 200820
9
A Platform for Cooperative and Coordinated Control of Multiple Vehicles: The Caltech Multi-Vehicle Wireless Testbed
200218
10 200718
11 200414
12 200713
13 20055
14 20083
15
Feedback Controlled Software Systems
20032
16 20041

About S. Waydo

S. Waydo is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Media Technology, having authored 16 papers that have together received 524 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (4 papers), Robotic Path Planning Algorithms (4 papers), Visual perception and processing mechanisms (3 papers), Distributed systems and fault tolerance (3 papers), Neural dynamics and brain function (3 papers), Image Processing Techniques and Applications (2 papers), Advanced Software Engineering Methodologies (2 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Aerospace Engineering (170 citations), Cognitive Neuroscience (124 citations), Computer Networks and Communications (118 citations) and Biophysics (27 citations). S. Waydo has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Richard M. Murray, Christof Koch, Mark Campbell, Alexander Kraskov, Rodrigo Quian Quiroga, Itzhak Fried, Zhen Jin, Lars B. Cremean, Eric Klavins and Peter Foley. Their work appears in journals such as Neural Computation, Journal of Diabetes Science and Technology, Journal of Neuroscience, IEEE Transactions on Control Systems Technology and IEEE Control 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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