Janick V. Frasch

17 total papers · 837 total citations
13 papers, 563 citations indexed

About

Janick V. Frasch is a scholar working on Control and Systems Engineering, Automotive Engineering and Numerical Analysis. According to data from OpenAlex, Janick V. Frasch has authored 13 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 5 papers in Automotive Engineering and 4 papers in Numerical Analysis. Recurrent topics in Janick V. Frasch's work include Advanced Control Systems Optimization (6 papers), Vehicle Dynamics and Control Systems (5 papers) and Advanced Optimization Algorithms Research (4 papers). Janick V. Frasch is often cited by papers focused on Advanced Control Systems Optimization (6 papers), Vehicle Dynamics and Control Systems (5 papers) and Advanced Optimization Algorithms Research (4 papers). Janick V. Frasch collaborates with scholars based in Germany, Belgium and Switzerland. Janick V. Frasch's co-authors include Moritz Diehl, Sebastian Säger, Mario Zanon, Boris Houska, Hans Joachim Ferreau, Francesco Borrelli, Andrew Gray, Robin Verschueren, Stijn De Bruyne and Christian Kirches and has published in prestigious journals such as Pattern Recognition Letters, SIAM Journal on Optimization and IFAC-PapersOnLine.

In The Last Decade

Janick V. Frasch

13 papers receiving 539 citations

Author Peers

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

Author Last Decade Papers Cites
Janick V. Frasch 391 210 109 74 71 13 563
Andrea Zanelli 408 1.0× 110 0.5× 120 1.1× 72 1.0× 44 0.6× 35 548
Chen Shen 260 0.7× 166 0.8× 100 0.9× 227 3.1× 21 0.3× 31 554
Milan Vukov 406 1.0× 76 0.4× 45 0.4× 73 1.0× 59 0.8× 16 497
Juan L. Jerez 497 1.3× 35 0.2× 29 0.3× 96 1.3× 89 1.3× 23 621
Mark M. Tobenkin 313 0.8× 37 0.2× 183 1.7× 18 0.2× 33 0.5× 15 549
Canghua Jiang 404 1.0× 45 0.2× 16 0.1× 84 1.1× 36 0.5× 33 510
Daniele Corona 433 1.1× 143 0.7× 16 0.1× 56 0.8× 16 0.2× 25 664
Lisheng Yin 196 0.5× 87 0.4× 66 0.6× 119 1.6× 16 0.2× 19 534
Shang-Jeng Tsai 126 0.3× 157 0.7× 208 1.9× 50 0.7× 10 0.1× 29 634
Laura Ferranti 268 0.7× 218 1.0× 211 1.9× 20 0.3× 6 0.1× 34 528

Countries citing papers authored by Janick V. Frasch

Since Specialization
Citations

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

Fields of papers citing papers by Janick V. Frasch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janick V. Frasch. 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 Janick V. Frasch. The network helps show where Janick V. Frasch may publish in the future.

Co-authorship network of co-authors of Janick V. Frasch

This figure shows the co-authorship network connecting the top 25 collaborators of Janick V. Frasch. A scholar is included among the top collaborators of Janick V. Frasch 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 Janick V. Frasch. Janick V. Frasch 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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