Chris Mechefske

21 total papers · 665 total citations
11 papers, 497 citations indexed

About

Chris Mechefske is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Chris Mechefske has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 6 papers in Mechanical Engineering and 2 papers in Computational Mechanics. Recurrent topics in Chris Mechefske's work include Robotic Mechanisms and Dynamics (6 papers), Iterative Learning Control Systems (3 papers) and Reliability and Maintenance Optimization (2 papers). Chris Mechefske is often cited by papers focused on Robotic Mechanisms and Dynamics (6 papers), Iterative Learning Control Systems (3 papers) and Reliability and Maintenance Optimization (2 papers). Chris Mechefske collaborates with scholars based in Canada, China and United States. Chris Mechefske's co-authors include Il Yong Kim, Wennian Yu, Fengfeng Xi, Dan Zhang, Sherman Y. T. Lang, Wenbing Tu, Zhengyi Xu, Markus Timusk and Sebastian Ghinet and has published in prestigious journals such as The Journal of the Acoustical Society of America, International Journal of Machine Tools and Manufacture and Reliability Engineering & System Safety.

In The Last Decade

Chris Mechefske

11 papers receiving 483 citations

Hit Papers

An improved similarity-ba... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris Mechefske 401 168 116 83 57 11 497
Emil Bjørlykhaug 334 0.8× 103 0.6× 127 1.1× 24 0.3× 79 1.4× 8 459
Chengying Zhao 325 0.8× 225 1.3× 100 0.9× 23 0.3× 113 2.0× 27 521
Manuel Arias Chao 352 0.9× 102 0.6× 133 1.1× 30 0.4× 60 1.1× 17 565
Houman Hanachi 236 0.6× 156 0.9× 43 0.4× 83 1.0× 113 2.0× 22 477
Shunsuke Chigusa 440 1.1× 95 0.6× 87 0.8× 22 0.3× 62 1.1× 22 573
Di Yuan 322 0.8× 236 1.4× 31 0.3× 61 0.7× 97 1.7× 17 598
You Keshun 323 0.8× 213 1.3× 39 0.3× 27 0.3× 118 2.1× 21 567
Zhao Xu 157 0.4× 135 0.8× 72 0.6× 24 0.3× 203 3.6× 14 484
Jae Yoon 405 1.0× 363 2.2× 38 0.3× 29 0.3× 129 2.3× 17 566
Yuna Pan 430 1.1× 279 1.7× 86 0.7× 15 0.2× 146 2.6× 9 552

Countries citing papers authored by Chris Mechefske

Since Specialization
Citations

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

Fields of papers citing papers by Chris Mechefske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Mechefske

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Mechefske. A scholar is included among the top collaborators of Chris Mechefske based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Mechefske. Chris Mechefske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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