Goran Mauša

558 total citations
39 papers, 359 citations indexed

About

Goran Mauša is a scholar working on Information Systems, Software and Molecular Biology. According to data from OpenAlex, Goran Mauša has authored 39 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 17 papers in Software and 12 papers in Molecular Biology. Recurrent topics in Goran Mauša's work include Software Engineering Research (17 papers), Software Reliability and Analysis Research (15 papers) and Chemical Synthesis and Analysis (9 papers). Goran Mauša is often cited by papers focused on Software Engineering Research (17 papers), Software Reliability and Analysis Research (15 papers) and Chemical Synthesis and Analysis (9 papers). Goran Mauša collaborates with scholars based in Croatia, Italy and Spain. Goran Mauša's co-authors include Tihana Galinac Grbac, Daniela Kalafatović, Jonatan Lerga, Ivan Štajduhar, Bojana Dalbelo Bašić, Marina Ivašić-Kos, Dario Jozinović, Alberto Michelini, Ernest Giralt and Alexei I. Zhurov and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and The Science of The Total Environment.

In The Last Decade

Goran Mauša

38 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goran Mauša Croatia 13 92 82 81 75 40 39 359
Chien‐Hung Chen Taiwan 13 165 1.8× 32 0.4× 32 0.4× 96 1.3× 97 2.4× 46 502
Wenxuan Wang China 12 72 0.8× 22 0.3× 19 0.2× 242 3.2× 102 2.5× 47 482
Yunzhi Xue China 7 51 0.6× 35 0.4× 7 0.1× 48 0.6× 23 0.6× 16 213
Yudhvir Singh India 11 33 0.4× 32 0.4× 6 0.1× 39 0.5× 7 0.2× 69 416
Gaojuan Fan China 7 23 0.3× 7 0.1× 17 0.2× 154 2.1× 51 1.3× 15 307
Mohammad Asadpour Iran 6 33 0.4× 8 0.1× 11 0.1× 135 1.8× 29 0.7× 21 324
Yingfeng Chen China 8 13 0.1× 12 0.1× 37 0.5× 33 0.4× 37 0.9× 34 267
Ashu M. G. Solo Canada 7 49 0.5× 10 0.1× 7 0.1× 78 1.0× 22 0.6× 36 273

Countries citing papers authored by Goran Mauša

Since Specialization
Citations

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

Fields of papers citing papers by Goran Mauša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goran Mauša

This figure shows the co-authorship network connecting the top 25 collaborators of Goran Mauša. A scholar is included among the top collaborators of Goran Mauša 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 Mauša. Goran Mauša 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.
Cabezón, Alfonso, et al.. (2025). Unravelling cyclic peptide membrane permeability prediction: a study on data augmentation, architecture choices, and representation schemes. Digital Discovery. 4(5). 1259–1275. 2 indexed citations
2.
Kalafatović, Daniela, et al.. (2024). Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning. Nature Machine Intelligence. 6(12). 1487–1500. 22 indexed citations
3.
Mauša, Goran, et al.. (2023). Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue. Sensors. 23(5). 2412–2412. 14 indexed citations
4.
Mauša, Goran, et al.. (2023). Configurable soft computing-based generative model: The search for catalytic peptides. MRS Advances. 8(19). 1068–1074. 2 indexed citations
5.
6.
Mauša, Goran, et al.. (2023). Manually curated dataset of catalytic peptides for ester hydrolysis. Data in Brief. 48. 109290–109290. 5 indexed citations
7.
Lerga, Jonatan, et al.. (2023). Neuroevolution for the Sustainable Evolution of Neural Networks. 1045–1051. 1 indexed citations
8.
9.
Mauša, Goran, et al.. (2022). Predictive modeling of microbiological seawater quality in karst region using cascade model. The Science of The Total Environment. 851(Pt 2). 158009–158009. 2 indexed citations
10.
Lerga, Jonatan, et al.. (2022). Deep Learning Approach For Objects Detection in Underwater Pipeline Images. Applied Artificial Intelligence. 36(1). 30 indexed citations
11.
Kalafatović, Daniela, et al.. (2022). Coupled encoding methods for antimicrobial peptide prediction: How sensitive is a highly accurate model?. SHILAP Revista de lepidopterología. 2. 100034–100034. 12 indexed citations
12.
Jozinović, Dario, et al.. (2021). Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?. Knowledge-Based Systems. 239. 107976–107976. 41 indexed citations
13.
Kalafatović, Daniela, Goran Mauša, Dina Rešetar Maslov, & Ernest Giralt. (2020). Bottom-Up Design Approach for OBOC Peptide Libraries. Molecules. 25(15). 3316–3316. 6 indexed citations
14.
Kalafatović, Daniela, et al.. (2019). Algorithm-supported, mass and sequence diversity-oriented random peptide library design. Journal of Cheminformatics. 11(1). 25–25. 12 indexed citations
15.
Karakatič, Sašo, et al.. (2019). Adapting God Class thresholds for software defect prediction: A case study. 1537–1542. 3 indexed citations
16.
Karakatič, Sašo, et al.. (2019). The Impact of Refactoring on Maintability of Java Code: A Preliminary Review.. 1 indexed citations
17.
Mauša, Goran, et al.. (2018). Cross-release code churn impact on effort-aware software defect prediction. 1460–1466. 4 indexed citations
18.
Mauša, Goran & Tihana Galinac Grbac. (2017). Co-evolutionary multi-population genetic programming for classification in software defect prediction: An empirical case study. Applied Soft Computing. 55. 331–351. 41 indexed citations
19.
Mauša, Goran, et al.. (2015). Data Storage and Analysis system for conducting Biotechnological Experiments. 470–475. 1 indexed citations
20.
Mauša, Goran, Tihana Galinac Grbac, & Bojana Dalbelo Bašić. (2012). Multivariate logistic regression prediction of fault-proneness in software modules. International Convention on Information and Communication Technology, Electronics and Microelectronics. 698–703. 14 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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