J. Balič

2.9k total citations
98 papers, 2.2k citations indexed

About

J. Balič is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, J. Balič has authored 98 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Industrial and Manufacturing Engineering, 58 papers in Mechanical Engineering and 15 papers in Automotive Engineering. Recurrent topics in J. Balič's work include Manufacturing Process and Optimization (47 papers), Advanced machining processes and optimization (38 papers) and Engineering Technology and Methodologies (19 papers). J. Balič is often cited by papers focused on Manufacturing Process and Optimization (47 papers), Advanced machining processes and optimization (38 papers) and Engineering Technology and Methodologies (19 papers). J. Balič collaborates with scholars based in Slovenia, India and Bosnia and Herzegovina. J. Balič's co-authors include R. Venkata Rao, M. Brezočnik, Franci Čuš, Vimal Savsani, P. Dhiraj, Igor Drstvenšek, Simon Klančnik, Tomaž Brajlih, Mirko Ficko and F. Čuš and has published in prestigious journals such as Expert Systems with Applications, Journal of Materials Processing Technology and Neurocomputing.

In The Last Decade

J. Balič

95 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Balič Slovenia 25 1.2k 866 564 336 302 98 2.2k
Godfrey C. Onwubolu Fiji 23 683 0.6× 1.1k 1.3× 249 0.4× 233 0.7× 523 1.7× 80 2.6k
R. Saravanan India 24 728 0.6× 716 0.8× 351 0.6× 267 0.8× 78 0.3× 66 1.6k
S. Kumanan India 26 848 0.7× 598 0.7× 396 0.7× 317 0.9× 110 0.4× 90 1.9k
Paul Maropoulos United Kingdom 28 1.8k 1.6× 1.4k 1.6× 331 0.6× 315 0.9× 162 0.5× 143 3.1k
Michael Packianather United Kingdom 21 457 0.4× 373 0.4× 324 0.6× 186 0.6× 173 0.6× 128 1.6k
Marek Balazinski Canada 32 1.9k 1.7× 447 0.5× 945 1.7× 707 2.1× 92 0.3× 132 2.7k
Svetan Ratchev United Kingdom 29 1.7k 1.5× 1.7k 2.0× 626 1.1× 848 2.5× 161 0.5× 199 3.2k
Róbert Čep Czechia 22 1.0k 0.9× 292 0.3× 360 0.6× 307 0.9× 137 0.5× 224 1.8k
Chenhui Shao United States 26 835 0.7× 357 0.4× 246 0.4× 180 0.5× 163 0.5× 93 1.7k
Zuomin Dong Canada 29 556 0.5× 468 0.5× 903 1.6× 115 0.3× 860 2.8× 132 2.6k

Countries citing papers authored by J. Balič

Since Specialization
Citations

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

Fields of papers citing papers by J. Balič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Balič

This figure shows the co-authorship network connecting the top 25 collaborators of J. Balič. A scholar is included among the top collaborators of J. Balič 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 J. Balič. J. Balič 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.
Drstvenšek, Igor, et al.. (2018). INTERDISCIPLINARY COMMUNICATION IN ORTHOPEDIC SURGICAL PLANNING. 21(2). 39–42.
2.
Rao, R. Venkata, et al.. (2016). A new multi-objective Jaya algorithm for optimization of modern machining processes. Advances in Production Engineering & Management. 11(4). 271–286. 71 indexed citations
3.
Balič, J., et al.. (2016). Prediction of technological parameters of sheet metal bending in two stages using feed forward neural network. Tehnicki vjesnik - Technical Gazette. 23(4). 2 indexed citations
4.
Ficko, Mirko, et al.. (2015). Initial study of immersion thermal manikin development and its manufacture from solid blocks. Tehnicki vjesnik - Technical Gazette. 22(6). 1 indexed citations
5.
Ficko, Mirko, et al.. (2015). Intelligent system for prediction of mechanical properties of material based on metallographic images. Tehnicki vjesnik - Technical Gazette. 22(6). 9 indexed citations
6.
Kokol, Peter, et al.. (2014). Prediction of the hardness of hardened specimens with a neural network. Materiali in tehnologije. 48(3). 409–414. 4 indexed citations
7.
Balič, J., et al.. (2013). Robot laser hardening and the problem of overlapping laser beam. Advances in Production Engineering & Management. 8(1). 25–32. 6 indexed citations
8.
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
9.
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
10.
Šimunović, Goran, et al.. (2010). Comparison of the Technological Time Prediction Models. University of Zagreb University Computing Centre (SRCE). 52(2). 137–145. 3 indexed citations
11.
Čuš, F. & J. Balič. (2010). Combined system for off-line optimization and adaptive cutting force control. Journal of Machine Engineering. 1 indexed citations
12.
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
13.
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
14.
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
15.
Brajlih, Tomaž, et al.. (2008). Basic solutions on shape complexity evaluation of STL data. Journal of Achievements of Materials and Manufacturing Engineering. 26. 73–80. 23 indexed citations
16.
Balič, J., et al.. (2008). Feature extraction from CAD model for milling strategy prediction. Strojniški vestnik – Journal of Mechanical Engineering. 54(5). 301–307. 10 indexed citations
17.
Balič, J. & Franc Čuš. (2007). Intelligent modelling in manufacturing. Journal of Achievements of Materials and Manufacturing Engineering. 24. 340–349. 4 indexed citations
18.
Balič, J., et al.. (2007). Intelligent motion of mobile robot in the production area. Journal of Achievements of Materials and Manufacturing Engineering. 20. 61–68. 1 indexed citations
19.
Brajlih, Tomaž, Igor Drstvenšek, Marina Bubalo Kovačić, & J. Balič. (2006). Optimizing scale factors of the PolyJet™ rapid prototyping procedure by genetic programming. Journal of Achievements of Materials and Manufacturing Engineering. 16. 12 indexed citations
20.
Aberšek, Boris, J. Flašker, & J. Balič. (1970). Theoretical Model For Fatigue Crack Propagation On Gears. WIT transactions on engineering sciences. 6. 5 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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