Goran Oreški

714 total citations · 1 hit paper
10 papers, 513 citations indexed

About

Goran Oreški is a scholar working on Artificial Intelligence, Accounting and Computer Vision and Pattern Recognition. According to data from OpenAlex, Goran Oreški has authored 10 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Accounting and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Goran Oreški's work include Imbalanced Data Classification Techniques (6 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Electricity Theft Detection Techniques (2 papers). Goran Oreški is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Electricity Theft Detection Techniques (2 papers). Goran Oreški collaborates with scholars based in Croatia. Goran Oreški's co-authors include Stjepan Oreški, Dijana Oreški, Marina Ivašić-Kos and Tihomir Orehovački and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Goran Oreški

9 papers receiving 475 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic algorithm-based heuristic for feature selection in credit risk assessment

2013 317 citations Stjepan Oreški, Goran Oreški Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Goran Oreški Croatia	6	315	210	79	47	47	10	513
Stjepan Oreški Croatia	6	337 1.1×	210 1.0×	81 1.0×	56 1.2×	38 0.8×	9	531
Juan Pérez Chile	11	206 0.7×	144 0.7×	42 0.5×	27 0.6×	46 1.0×	20	463
Wenguo Ai China	7	246 0.8×	148 0.7×	35 0.4×	34 0.7×	38 0.8×	9	418
Cheng‐Jung Tsai Taiwan	10	443 1.4×	279 1.3×	90 1.1×	251 5.3×	77 1.6×	27	768
Yu‐Feng Hsu Taiwan	5	599 1.9×	148 0.7×	52 0.7×	105 2.2×	11 0.2×	5	848
Gianluca Antonini Switzerland	11	197 0.6×	127 0.6×	92 1.2×	21 0.4×	144 3.1×	16	508
Arindam Chaudhuri India	10	160 0.5×	96 0.5×	24 0.3×	45 1.0×	74 1.6×	26	364
Changzheng He China	13	283 0.9×	55 0.3×	12 0.2×	55 1.2×	81 1.7×	46	566
Gunhee Lee South Korea	12	143 0.5×	127 0.6×	46 0.6×	55 1.2×	207 4.4×	44	566

Countries citing papers authored by Goran Oreški

Since Specialization

Citations

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

Fields of papers citing papers by Goran Oreški

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goran Oreški

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

All Works

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10 of 10 papers shown

1.

Oreški, Goran, et al.. (2025). GCN-Transformer: Graph Convolutional Network and Transformer for Multi-Person Pose Forecasting Using Sensor-Based Motion Data. Sensors. 25(10). 3136–3136.

2.

Orehovački, Tihomir, et al.. (2024). Driving Habits and the Need for Fatigue and Attention Monitoring Devices: Insights from Croatian Drivers. 1427–1432. 1 indexed citations

3.

Oreški, Goran. (2023). Synthesizing credit data using autoencoders and generative adversarial networks. Knowledge-Based Systems. 274. 110646–110646. 6 indexed citations

4.

Oreški, Goran. (2023). YOLO*C — Adding context improves YOLO performance. Neurocomputing. 555. 126655–126655. 28 indexed citations

5.

Oreški, Goran, et al.. (2023). Performance comparison of novel object detection models on traffic data. 177–184. 3 indexed citations

6.

Oreški, Stjepan & Goran Oreški. (2018). Cost-Sensitive Learning from Imbalanced Datasets for Retail Credit Risk Assessment. TEM Journal. 59–73. 9 indexed citations

7.

Oreški, Goran & Stjepan Oreški. (2015). Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets. SHILAP Revista de lepidopterología. 39(2). 209–222. 3 indexed citations

8.

Oreški, Goran & Stjepan Oreški. (2014). An experimental comparison of classification algorithm performances for highly imbalanced datasets. 4. 7 indexed citations

9.

Oreški, Stjepan & Goran Oreški. (2013). Genetic algorithm-based heuristic for feature selection in credit risk assessment. Expert Systems with Applications. 41(4). 2052–2064. 317 indexed citations breakdown →

10.

Oreški, Stjepan, Dijana Oreški, & Goran Oreški. (2012). Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment. Expert Systems with Applications. 39(16). 12605–12617. 139 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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