Marina Crnjac

784 total citations · 1 hit paper
20 papers, 467 citations indexed

About

Marina Crnjac is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Strategy and Management. According to data from OpenAlex, Marina Crnjac has authored 20 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 4 papers in Management of Technology and Innovation and 2 papers in Strategy and Management. Recurrent topics in Marina Crnjac's work include Manufacturing Process and Optimization (7 papers), Digital Transformation in Industry (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Marina Crnjac is often cited by papers focused on Manufacturing Process and Optimization (7 papers), Digital Transformation in Industry (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Marina Crnjac collaborates with scholars based in Croatia, United Kingdom and Serbia. Marina Crnjac's co-authors include Marko Mladineo, Nikola Gjeldum, Luka Celent, Ivica Veža, Danijela Tadić, Damir Vukičević and Zoran Babić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Energies.

In The Last Decade

Marina Crnjac

18 papers receiving 437 citations

Hit Papers

From Industry 4.0 towards Industry 5.0: A Review and Anal... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Crnjac Croatia 10 309 64 64 63 44 20 467
Christian Ramsauer Austria 10 267 0.9× 93 1.5× 66 1.0× 70 1.1× 43 1.0× 69 457
Sebastian Schlund Austria 14 337 1.1× 85 1.3× 64 1.0× 84 1.3× 34 0.8× 63 614
Jan-Philipp Prote Germany 7 315 1.0× 107 1.7× 99 1.5× 79 1.3× 52 1.2× 35 458
Antonio Maffei Sweden 14 365 1.2× 42 0.7× 103 1.6× 79 1.3× 55 1.3× 74 626
Helmut Zsifkovits Austria 9 223 0.7× 88 1.4× 53 0.8× 81 1.3× 41 0.9× 30 432
Mohammed M. Mabkhot Saudi Arabia 8 284 0.9× 57 0.9× 37 0.6× 53 0.8× 38 0.9× 15 420
Josef Basl Czechia 14 318 1.0× 116 1.8× 71 1.1× 103 1.6× 41 0.9× 42 567
Aditya Akundi United States 6 203 0.7× 50 0.8× 31 0.5× 56 0.9× 43 1.0× 38 375
Philipp Hold Austria 10 435 1.4× 102 1.6× 85 1.3× 92 1.5× 35 0.8× 17 632
James B. Porter United States 4 358 1.2× 77 1.2× 53 0.8× 81 1.3× 25 0.6× 10 557

Countries citing papers authored by Marina Crnjac

Since Specialization
Citations

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

Fields of papers citing papers by Marina Crnjac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Crnjac

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Crnjac. A scholar is included among the top collaborators of Marina Crnjac 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 Marina Crnjac. Marina Crnjac 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.
Crnjac, Marina, et al.. (2025). Towards Sustainable Personalized Assembly Through Human-Centric Digital Twins. Sensors. 25(18). 5662–5662.
2.
Crnjac, Marina, Ivica Veža, Damir Vukičević, & Marko Mladineo. (2024). APPINT algorithm for decision-making based on information integration in the assembly of personalized products. Journal of Industrial Information Integration. 38. 100560–100560. 3 indexed citations
3.
Crnjac, Marina, Marko Mladineo, Nikola Gjeldum, & Luka Celent. (2022). From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology. Energies. 15(14). 5221–5221. 194 indexed citations breakdown →
4.
Veža, Ivica, et al.. (2022). Selection of the Cobot Workstation for the Learning Factory by Using the Multi-Criteria Analysis. SSRN Electronic Journal. 1 indexed citations
5.
Celent, Luka, Marko Mladineo, Nikola Gjeldum, & Marina Crnjac. (2022). Multi-Criteria Decision Support System for Smart and Sustainable Machining Process. Energies. 15(3). 772–772. 13 indexed citations
6.
Mladineo, Marko, et al.. (2021). Towards a knowledge-based cognitive system for industrial application: Case of personalized products. Journal of Industrial Information Integration. 27. 100284–100284. 17 indexed citations
7.
Gjeldum, Nikola, et al.. (2021). Collaborative robot task allocation on an assembly line using the decision support system. International Journal of Computer Integrated Manufacturing. 35(4-5). 510–526. 32 indexed citations
8.
Crnjac, Marina, et al.. (2020). Integration of the human-robot system in the learning factory assembly process. Procedia Manufacturing. 45. 158–163. 15 indexed citations
9.
Mladineo, Marko, et al.. (2019). Integration and testing of the RFID-enabled Smart Factory concept within the Learning Factory. Procedia Manufacturing. 31. 384–389. 18 indexed citations
10.
Gjeldum, Nikola, et al.. (2019). Analysis of performances of RFID systems for assembly line purposes in Learning Factory. 1. 1 indexed citations
11.
Crnjac, Marina, et al.. (2019). Two-stage product design selection by using PROMETHEE and Taguchi method: A case study. Advances in Production Engineering & Management. 14(1). 39–50. 7 indexed citations
12.
Babić, Zoran, et al.. (2018). Application of De Novo Programming Approach for Optimizing the Business Process. International Journal of Industrial and Systems Engineering. 12(5). 519–524. 1 indexed citations
13.
Gjeldum, Nikola, et al.. (2018). Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory. Procedia Manufacturing. 23. 63–68. 17 indexed citations
14.
Mladineo, Marko, et al.. (2018). Selecting manufacturing partners in push and pull-type smart collaborative networks. Advanced Engineering Informatics. 38. 291–305. 24 indexed citations
15.
Mladineo, Marko, et al.. (2018). Web Information System for Sustainability Optimization of Production Networks. 137. 1 indexed citations
16.
Tadić, Danijela, et al.. (2018). Extended process failure mode and effect analysis (PFMEA) for the automotive industry: The FSQC-PFMEA. Advances in Production Engineering & Management. 13(2). 206–215. 19 indexed citations
17.
Crnjac, Marina, et al.. (2018). The assessment and ranking of failures in the information technology industry based on FMEA and MCDM. SHILAP Revista de lepidopterología. 20(3). 257–268. 3 indexed citations
18.
Crnjac, Marina, et al.. (2017). From Concept to the Introduction of Industry 4.0. International Journal of Industrial Engineering and Management. 8(1). 21–30. 96 indexed citations
19.
Crnjac, Marina, Marko Mladineo, & Ivica Veža. (2017). The Croatian model of Innovative Smart Enterprise (HR-ISE model). 81.
20.
Gjeldum, Nikola, et al.. (2016). Simulation of Bullwhip Effect in a Supply Chain for Lean Learning Factory Purposes. International Journal of Simulation Modelling. 16(4). 576–589. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026