F. Čuš

1.0k total citations
45 papers, 725 citations indexed

About

F. Čuš is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, F. Čuš has authored 45 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 23 papers in Industrial and Manufacturing Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in F. Čuš's work include Advanced machining processes and optimization (30 papers), Advanced Machining and Optimization Techniques (18 papers) and Manufacturing Process and Optimization (15 papers). F. Čuš is often cited by papers focused on Advanced machining processes and optimization (30 papers), Advanced Machining and Optimization Techniques (18 papers) and Manufacturing Process and Optimization (15 papers). F. Čuš collaborates with scholars based in Slovenia, North Macedonia and Serbia. F. Čuš's co-authors include Uroš Župerl, M. Milfelner, J. Balič, B. Muršec, Janez Kopač, Valentina Gečevska, P. Vindiš, Simon Klančnik, Igor Drstvenšek and Tomaž Brajlih and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Processing Technology and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

F. Čuš

42 papers receiving 637 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Čuš Slovenia 15 536 298 275 169 73 45 725
Franci Čuš Slovenia 11 505 0.9× 281 0.9× 281 1.0× 144 0.9× 43 0.6× 23 627
Uroš Župerl Slovenia 17 816 1.5× 385 1.3× 429 1.6× 226 1.3× 120 1.6× 67 983
Tiziana Segreto Italy 19 531 1.0× 252 0.8× 355 1.3× 282 1.7× 57 0.8× 35 784
Guoyong Zhao China 15 560 1.0× 200 0.7× 346 1.3× 199 1.2× 51 0.7× 65 833
P.M. Lister United Kingdom 10 586 1.1× 196 0.7× 354 1.3× 278 1.6× 61 0.8× 14 714
Wei Ji China 16 572 1.1× 455 1.5× 223 0.8× 277 1.6× 208 2.8× 52 979
M. Saravanan India 17 320 0.6× 228 0.8× 469 1.7× 151 0.9× 141 1.9× 90 1.0k
Huibin Sun China 14 418 0.8× 198 0.7× 215 0.8× 94 0.6× 115 1.6× 43 681
X.D. Fang Australia 19 625 1.2× 288 1.0× 240 0.9× 236 1.4× 47 0.6× 45 823
P. J. Pawar India 13 478 0.9× 241 0.8× 349 1.3× 213 1.3× 39 0.5× 32 745

Countries citing papers authored by F. Čuš

Since Specialization
Citations

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

Fields of papers citing papers by F. Čuš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Čuš

This figure shows the co-authorship network connecting the top 25 collaborators of F. Čuš. A scholar is included among the top collaborators of F. Čuš 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 F. Čuš. F. Čuš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Župerl, Uroš, et al.. (2020). Neuro-mechanistic model for cutting force prediction in helical end milling of metal materials layered in multiple directions. Advances in Production Engineering & Management. 15(1). 5–17. 11 indexed citations
2.
Gečevska, Valentina, et al.. (2012). Lean PLM - Information Technology Strategy for Innovative and Sustainable Business Environment. International Journal of Industrial Engineering and Management. 3(1). 15–23. 13 indexed citations
3.
Čuš, F., et al.. (2011). Tokarenje visoko kvalitetnih aluminijevih legura uz minimalne troškove. University of Zagreb University Computing Centre (SRCE). 5 indexed citations
4.
Čuš, F., Uroš Župerl, & J. Balič. (2011). Combined feedforward and feedback control of end milling system. Journal of Achievements of Materials and Manufacturing Engineering. 45. 6 indexed citations
5.
Župerl, Uroš, F. Čuš, & J. Balič. (2011). Intelligent cutting tool condition monitoring in milling. Journal of Achievements of Materials and Manufacturing Engineering. 49. 9 indexed citations
6.
Čuš, F., et al.. (2010). Comparison of different optimization and process control procedures. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Vindiš, P., B. Muršec, M. Janžekovič, D. Stajnko, & F. Čuš. (2010). Anaerobic digestion of maize hybrids for methane production. Journal of Achievements of Materials and Manufacturing Engineering. 40. 87–94. 11 indexed citations
8.
Čuš, F. & J. Balič. (2010). Combined system for off-line optimization and adaptive cutting force control. Journal of Machine Engineering. 1 indexed citations
9.
Klančnik, Simon, J. Balič, & F. Čuš. (2010). Intelligent prediction of milling strategy using neural networks. Control and Cybernetics. 39(1). 9–24. 14 indexed citations
10.
Vindiš, P., B. Muršec, Črtomir Rozman, & F. Čuš. (2010). A Multi-Criteria Assessment of Energy Crops for Biogas Production. Strojniški vestnik – Journal of Mechanical Engineering. 56(1). 63–70. 19 indexed citations
11.
Klančnik, Simon, et al.. (2010). Prediction of surface roughness using a feed-forward neural network. Management and Production Engineering Review. 1. 47–55. 11 indexed citations
12.
Čuš, F., J. Balič, & Uroš Župerl. (2009). Hybrid ANFIS-ants system based optimisation of turning parameters. Journal of Achievements of Materials and Manufacturing Engineering. 36. 79–86. 27 indexed citations
13.
Čuš, F. & Uroš Župerl. (2009). Particle swarm intelligence based optimisation of high speed end-milling. Archives of Materials Science and Engineering. 1. 148–154. 8 indexed citations
14.
Muršec, B., P. Vindiš, M. Janžekovič, F. Čuš, & M. Brus. (2008). Testing of quality of sowing by pneumatic sowing machines. Journal of Achievements of Materials and Manufacturing Engineering. 26. 81–88. 5 indexed citations
15.
Čuš, F., et al.. (2008). Adaptive self-learning controller design for feedrate maximisation of machining process. Journal of Achievements of Materials and Manufacturing Engineering. 31. 469–476. 4 indexed citations
16.
Čuš, F., Uroš Župerl, & Abstr Act. (2008). Model reference-based machining force and surface roughness control. Journal of Achievements of Materials and Manufacturing Engineering. 29. 115–122. 4 indexed citations
17.
Čuš, F. & Uroš Župerl. (2008). Model reference adaptive force and surface roughness control in milling. Journal of Achievements of Materials and Manufacturing Engineering. 26. 179–182. 1 indexed citations
18.
Muršec, B., P. Vindiš, M. Janžekovič, F. Čuš, & M. Brus. (2007). Analysis of quality of sowing by pneumatic sowing machines for sugar beet. Journal of Achievements of Materials and Manufacturing Engineering. 22. 85–88. 4 indexed citations
19.
Čuš, F. & Uroš Župerl. (2007). Adaptive self-learning controller design for feedrate maximization of machining process. Advances in Production Engineering & Management. 5 indexed citations
20.
Milfelner, M., Janez Kopač, F. Čuš, & Uroš Župerl. (2006). Intelligent system for machining and optimization of 3D sculptured surfaces with ball-end milling. Journal of Achievements of Materials and Manufacturing Engineering. 14. 8 indexed citations

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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