Simon Klančnik

890 citations
52 papers · 701 · h-index 17

Impact in

Papers in

    • Advanced machining processes and optimization 21
    • Additive Manufacturing Materials and Processes 6
    • Advanced Measurement and Metrology Techniques 5
    • Manufacturing Process and Optimization 15
    • Engineering Technology and Methodologies 9
    • Digital Transformation in Industry 4

Simon Klančnik

45 papers receiving 654 citations

Peers

Simon Klančnik
Comparison fields: 5 of 89
  • Industrial and Manufacturing Engineering 223
  • Mechanical Engineering 390
  • Ecological Modeling 31
  • Computational Mechanics 69
  • Physiology 68
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Citations per field
00.5×10×13.6×
Eva Portillo · 1×
Citations per year

Countries citing papers authored by Simon Klančnik

Since Specialization
Citations

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

Fields of papers citing papers by Simon Klančnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Klančnik, 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 Simon Klančnik Line = papers co-authored together Simon Klančnik 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 201886
2 202145
3 201441
4 202036
5 202132
6 202029
7 201529
8 201629
9 201429
10 202126
11 201426
12 201425
13 201524
14 201222
15 200920
16 202319
17 202218
18 201815
19
Intelligent prediction of milling strategy using neural networks
201014
20 202013

About Simon Klančnik

Simon Klančnik is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Computational Mechanics and Biomedical Engineering, having authored 52 papers that have together received 701 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (21 papers), Manufacturing Process and Optimization (15 papers), Engineering Technology and Methodologies (9 papers), Advanced Machining and Optimization Techniques (8 papers), Additive Manufacturing Materials and Processes (6 papers), Advanced Measurement and Metrology Techniques (5 papers), Advanced Surface Polishing Techniques (4 papers) and Digital Transformation in Industry (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (223 citations), Mechanical Engineering (390 citations), Ecological Modeling (31 citations), Computational Mechanics (69 citations) and Physiology (68 citations). Simon Klančnik has collaborated with scholars based in Slovenia, Bosnia and Herzegovina and Serbia. Frequent co-authors include Mirko Ficko, M. Brezočnik, J. Balič, Đerzija Begić-Hajdarević, Ahmet Çekiç, F. Čuš, Borislav Savković, Dragan Rodić, Isak Karabegović and Aleksandar Vencl. Their work appears in journals such as Advances in Production Engineering & Management, Sensors, International Journal of Simulation Modelling, Applied Sciences and Tehnicki vjesnik - Technical Gazette.

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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