Ivan Lorencin

1.4k total citations
73 papers, 878 citations indexed

About

Ivan Lorencin is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering. According to data from OpenAlex, Ivan Lorencin has authored 73 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Mechanical Engineering. Recurrent topics in Ivan Lorencin's work include COVID-19 diagnosis using AI (10 papers), AI in cancer detection (8 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (7 papers). Ivan Lorencin is often cited by papers focused on COVID-19 diagnosis using AI (10 papers), AI in cancer detection (8 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (7 papers). Ivan Lorencin collaborates with scholars based in Croatia, Serbia and Slovakia. Ivan Lorencin's co-authors include Nikola Anđelić, Zlatan Car, Vedran Mrzljak, Sandi Baressi Šegota, Josip Španjol, Milan Sága, Tijana Šušteršič, Nenad Filipović, Tomislav Ćabov and Paolo Blecich and has published in prestigious journals such as IEEE Transactions on Power Systems, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Ivan Lorencin

61 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Lorencin Croatia 16 197 186 176 146 115 73 878
Nikola Anđelić Croatia 16 200 1.0× 203 1.1× 166 0.9× 155 1.1× 128 1.1× 75 899
Zlatan Car Croatia 18 234 1.2× 251 1.3× 180 1.0× 170 1.2× 135 1.2× 100 1.1k
Sandi Baressi Šegota Croatia 13 127 0.6× 102 0.5× 141 0.8× 118 0.8× 57 0.5× 64 636
Imre Felde Hungary 16 161 0.8× 388 2.1× 139 0.8× 53 0.4× 53 0.5× 100 936
Hongping Hu China 18 278 1.4× 58 0.3× 96 0.5× 162 1.1× 132 1.1× 56 934
Rodrigo Silva Brazil 14 296 1.5× 87 0.5× 242 1.4× 136 0.9× 209 1.8× 45 944
Om Prakash Verma India 17 209 1.1× 104 0.6× 44 0.3× 187 1.3× 118 1.0× 73 931
Vedran Mrzljak Croatia 19 110 0.6× 500 2.7× 85 0.5× 158 1.1× 228 2.0× 92 1.1k
Muhammad Muneeb Pakistan 11 381 1.9× 44 0.2× 143 0.8× 72 0.5× 425 3.7× 30 1.2k
Muzhou Hou China 17 430 2.2× 46 0.2× 155 0.9× 91 0.6× 155 1.3× 83 1.1k

Countries citing papers authored by Ivan Lorencin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lorencin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Lorencin

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Lorencin. A scholar is included among the top collaborators of Ivan Lorencin 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 Ivan Lorencin. Ivan Lorencin 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.
Lorencin, Ivan, et al.. (2024). Zero-Shot Learning in Maritime Domain. Pomorstvo. 38(2). 239–249.
2.
Anđelić, Nikola, Ivan Lorencin, Vedran Mrzljak, & Zlatan Car. (2024). On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm. Engineering Applications of Artificial Intelligence. 133. 108213–108213. 10 indexed citations
3.
Lorencin, Ivan, et al.. (2023). Military Decision-Making Process Enhanced by Image Detection. Information. 15(1). 11–11. 7 indexed citations
4.
Anđelić, Nikola, et al.. (2023). Drive System Inverter Modeling Using Symbolic Regression. Electronics. 12(3). 638–638. 1 indexed citations
5.
Anđelić, Nikola, et al.. (2023). Cervical Cancer Diagnostics Using Machine Learning Algorithms and Class Balancing Techniques. Applied Sciences. 13(2). 1061–1061. 23 indexed citations
6.
Anđelić, Nikola, et al.. (2023). Classification of Faults Operation of a Robotic Manipulator Using Symbolic Classifier. Applied Sciences. 13(3). 1962–1962. 3 indexed citations
7.
Šegota, Sandi Baressi, Ivan Lorencin, Zoran Kovač, & Zlatan Car. (2023). On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks. Biomedicines. 11(2). 284–284. 4 indexed citations
8.
Anđelić, Nikola, et al.. (2022). Detection of Malicious Websites Using Symbolic Classifier. Future Internet. 14(12). 358–358. 3 indexed citations
9.
Anđelić, Nikola, et al.. (2022). Estimation of Excitation Current of a Synchronous Machine Using Machine Learning Methods. Computers. 12(1). 1–1. 4 indexed citations
10.
11.
Anđelić, Nikola, Sandi Baressi Šegota, Ivan Lorencin, & Zlatan Car. (2022). The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data. Sensors. 23(1). 169–169. 9 indexed citations
12.
Šegota, Sandi Baressi, et al.. (2022). Prediction of main particulars of container ships using artificial intelligence algorithms. Ocean Engineering. 265. 112571–112571. 20 indexed citations
13.
Anđelić, Nikola, Sandi Baressi Šegota, Ivan Lorencin, et al.. (2021). Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm. International Journal of Environmental Research and Public Health. 18(3). 959–959. 12 indexed citations
14.
Anđelić, Nikola, Sandi Baressi Šegota, Ivan Lorencin, et al.. (2021). Use of Genetic Programming for the Estimation of CODLAG Propulsion System Parameters. Journal of Marine Science and Engineering. 9(6). 612–612. 7 indexed citations
15.
Šušteršič, Tijana, Ivan Lorencin, Sandi Baressi Šegota, et al.. (2021). Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression. Computers in Biology and Medicine. 138. 104869–104869. 5 indexed citations
16.
Šegota, Sandi Baressi, Ivan Lorencin, Nikola Anđelić, et al.. (2021). Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health. 18(8). 4287–4287. 34 indexed citations
17.
Šegota, Sandi Baressi, Ivan Lorencin, Nikola Anđelić, et al.. (2021). Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach. Biology. 10(11). 1134–1134. 10 indexed citations
18.
Lorencin, Ivan, Sandi Baressi Šegota, Nikola Anđelić, et al.. (2021). On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation. Biology. 10(3). 175–175. 17 indexed citations
19.
Lorencin, Ivan, Sandi Baressi Šegota, Nikola Anđelić, et al.. (2021). Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks. Journal of Personalized Medicine. 11(1). 28–28. 22 indexed citations
20.
Mrzljak, Vedran, Paolo Blecich, Nikola Anđelić, & Ivan Lorencin. (2019). Energy and Exergy Analyses of Forced Draft Fan for Marine Steam Propulsion System during Load Change. Journal of Marine Science and Engineering. 7(11). 381–381. 26 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

Breakdown of academic impact, for papers by Nikola Anđelić Breakdown of academic impact, for papers by Zlatan Car Breakdown of academic impact, for papers by Sandi Baressi Šegota Breakdown of academic impact, for papers by Imre Felde Breakdown of academic impact, for papers by Hongping Hu Breakdown of academic impact, for papers by Rodrigo Silva Breakdown of academic impact, for papers by Om Prakash Verma Breakdown of academic impact, for papers by Vedran Mrzljak Breakdown of academic impact, for papers by Muhammad Muneeb Breakdown of academic impact, for papers by Muzhou Hou
Rankless by CCL
2026