Ayonga Hereid

2k citations
48 papers · 1.5k · h-index 20

Impact in

Papers in

Ayonga Hereid

45 papers receiving 1.5k citations

Peers

Ayonga Hereid
Comparison fields: 5 of 33
  • Biomedical Engineering 1.2k
  • Control and Systems Engineering 218
  • Artificial Intelligence 137
  • Computational Theory and Mathematics 58
  • Computer Vision and Pattern Recognition 63
Replace Jan Carius with:
Jan Carius Switzerland
Matthew Tesch United States
Michael Posa United States
T. Mita Japan
Ayush Agrawal United States
Shishir Kolathaya India
Tuomas Haarnoja Finland
Mats Erling Hovin Norway
Changjiu Zhou Singapore
Anthony Simeonov United States
Ayonga Hereid relative to Jan Carius Switzerland Jan Carius's profile →
Citations per field
00.5×5×10×15.2×
Jan Carius · 1×
Citations per year

Countries citing papers authored by Ayonga Hereid

Since Specialization
Citations

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

Fields of papers citing papers by Ayonga Hereid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016164
2 2019162
3 2017107
4 2016103
5 201897
6 201696
7 201896
8 201775
9 201871
10 202153
11 201448
12 202034
13 201931
14 201530
15 201327
16 201526
17 202222
18 202222
19 201521
20 202021

About Ayonga Hereid

Ayonga Hereid is a scholar working on Biomedical Engineering, Control and Systems Engineering, Computational Theory and Mathematics, Software and Hardware and Architecture, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (39 papers), Prosthetics and Rehabilitation Robotics (4 papers), Formal Methods in Verification (2 papers), Parallel Computing and Optimization Techniques (1 paper), Vehicle Dynamics and Control Systems (1 paper), Adversarial Robustness in Machine Learning (1 paper), Robotic Path Planning Algorithms (1 paper) and Embedded Systems and FPGA Applications (1 paper). The work is most often cited by research in Biomedical Engineering (1.2k citations), Control and Systems Engineering (218 citations), Artificial Intelligence (137 citations), Computational Theory and Mathematics (58 citations) and Computer Vision and Pattern Recognition (63 citations). Ayonga Hereid has collaborated with scholars based in United States, China and India. Frequent co-authors include Aaron D. Ames, Christian M. Hubicki, Eric A. Cousineau, Jessy W. Grizzle, Omar Harib, Koushil Sreenath, Shishir Kolathaya, Yukai Gong, Jacob Reher and Xingye Da. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Access, Journal of Dynamic Systems Measurement and Control, Robotica and IEEE Robotics & Automation Magazine.

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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