Johnny H. Evers

937 citations
52 papers · 716 · h-index 15

Impact in

Papers in

Johnny H. Evers

50 papers receiving 665 citations

Peers

Johnny H. Evers
Comparison fields: 5 of 30
  • Aerospace Engineering 537
  • Computer Vision and Pattern Recognition 107
  • Control and Systems Engineering 104
  • Computer Networks and Communications 47
  • Artificial Intelligence 46
Replace Gideon Kowadlo with:
Gideon Kowadlo Australia
Kevin Brink United States
Yasushi Iwatani Japan
Julian Sturm Germany
Alastair K. Cooke United Kingdom
N.A. Shneydor Israel
Joseph Conroy United States
Sutthiphong Spot Srigrarom Singapore
Mark A. Tarbell United States
Peter Thomas United Kingdom
Johnny H. Evers relative to Gideon Kowadlo Australia Gideon Kowadlo's profile →
Citations per field
00.5×2×3×4×4.8×
Gideon Kowadlo · 1×
Citations per year

Countries citing papers authored by Johnny H. Evers

Since Specialization
Citations

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

Fields of papers citing papers by Johnny H. Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnny H. Evers. 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 Johnny H. Evers. The network helps show where Johnny H. Evers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989110
2 201064
3 200658
4 200841
5 199535
6 200331
7 200226
8 200325
9 199222
10 198820
11 200818
12 201017
13 199115
14 200415
15 200515
16 200615
17 200714
18 200914
19 199713
20 200611

About Johnny H. Evers

Johnny H. Evers is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 52 papers that have together received 716 indexed citations. Recurring topics across this work include Guidance and Control Systems (24 papers), Biomimetic flight and propulsion mechanisms (8 papers), Aerospace Engineering and Control Systems (7 papers), Aerospace and Aviation Technology (6 papers), Aeroelasticity and Vibration Control (6 papers), Robotic Path Planning Algorithms (4 papers), Stability and Control of Uncertain Systems (3 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Aerospace Engineering (537 citations), Computer Vision and Pattern Recognition (107 citations), Control and Systems Engineering (104 citations), Computer Networks and Communications (47 citations) and Artificial Intelligence (46 citations). Johnny H. Evers has collaborated with scholars based in United States. Frequent co-authors include J.R. Cloutier, Anthony J. Calise, Pramod P. Khargonekar, Zachariah E. Fuchs, Ching-Fang Lin, Gregg Abate, Yoko Watanabe, Glenn A. Gebert, Animesh Chakravarthy and Michael Ol. Their work appears in journals such as Current Biology, Journal of Comparative Physiology A, Journal of Guidance Control and Dynamics, Computational Management Science and IEEE Conference on Control Applications (CCA).

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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