John Kern

598 citations
45 papers · 352 · h-index 11

Impact in

Papers in

John Kern

42 papers receiving 334 citations

Peers

John Kern
Comparison fields: 5 of 68
  • Control and Systems Engineering 199
  • Industrial and Manufacturing Engineering 24
  • Computer Vision and Pattern Recognition 44
  • Mechanical Engineering 70
  • Electrical and Electronic Engineering 94
Replace Luis Morales-Velázquez with:
Luis Morales-Velázquez Mexico
Jingfeng Mao China
David López-Pérez France
Hamzah M. Marhoon Iraq
Yuan Zhu China
Anirban Ghosh India
Pedro Rodríguez-Ayerbe France
Yong‐Jae Kim South Korea
Fazhi Song China
Haibo Pen China
John Kern relative to Luis Morales-Velázquez Mexico Luis Morales-Velázquez's profile →
Citations per field
00.5×3.7×
Luis Morales-Velázquez · 1×
Citations per year

Countries citing papers authored by John Kern

Since Specialization
Citations

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

Fields of papers citing papers by John Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside John Kern, 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 John Kern Line = papers co-authored together John Kern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200856
2 202036
3 201227
4 202518
5 201617
6 202214
7 201612
8 202411
9 201311
10 200911
11 202310
12 202410
13 201610
14 20159
15 20218
16 20208
17 19906
18 20246
19 20246
20 20216

About John Kern

John Kern is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Mechanical Engineering and Artificial Intelligence, having authored 45 papers that have together received 352 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Robotic Mechanisms and Dynamics (8 papers), Robot Manipulation and Learning (5 papers), Industrial Automation and Control Systems (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Dynamics and Control of Mechanical Systems (3 papers), Fault Detection and Control Systems (3 papers) and Fuzzy Logic and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (199 citations), Industrial and Manufacturing Engineering (24 citations), Computer Vision and Pattern Recognition (44 citations), Mechanical Engineering (70 citations) and Electrical and Electronic Engineering (94 citations). John Kern has collaborated with scholars based in Chile, United States and Ecuador. Frequent co-authors include Claudio Urrea, Manoj R. Shah, Ayman El‐Refaie, Ronghai Qu, Di Zhang, Rolando Burgos, Dushan Boroyevich, Fred Wang, Humberto Verdejo and Francisco A. Cubillos. Their work appears in journals such as Applied Sciences, Sensors, Computers & Electrical Engineering, Robotics and Control Engineering Practice.

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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