Mirta Benšić
- Accounting top 5%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Finance top 10%
- Building and Construction top 10%
- Co-authors
- Nataša ŠarlijaMarijana Zekić–SušacIvana MiličevićDragan JukićKristian SaboRoman PavićRudolf ScitovskiAntun Jozinović
- Topics
- Financial Distress and Bankruptcy Prediction (8 papers)Food composition and properties (7 papers)Imbalanced Data Classification Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsMolecules
- Partner nations
- CroatiaBosnia and HerzegovinaUnited States
In The Last Decade
Mirta Benšić
42 papers receiving 552 citations
Peers
Comparison fields: 5 of 124
- Accounting 142
- Artificial Intelligence 127
- Civil and Structural Engineering 96
- Finance 64
- Building and Construction 61
Countries citing papers authored by Mirta Benšić
This map shows the geographic impact of Mirta Benšić'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 Mirta Benšić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirta Benšić more than expected).
Fields of papers citing papers by Mirta Benšić
This network shows the impact of papers produced by Mirta Benšić. 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 Mirta Benšić. The network helps show where Mirta Benšić may publish in the future.
Co-authorship network of co-authors of Mirta Benšić
This figure shows the co-authorship network connecting the top 25 collaborators of Mirta Benšić. A scholar is included among the top collaborators of Mirta Benšić 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 Mirta Benšić. Mirta Benšić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | Relationship between Age and Thickness of Carotid Arteries in a Population without Risk Factors for Atherosclerosis. | 17 |
| 10 | 49 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 31 | |
| 14 | 2 | |
| 15 | A neural network classification of credit applicants in consumer credit scoring | 8 |
| 16 | SELECTING NEURAL NETWORK ARCHITECTURE FOR INVESTMENT PROFITABILITY PREDICTIONS | 5 |
| 17 | Small business credit scoring: a comparison of logistic regression, neural network, and decision tree models | 38 |
| 18 | UPOTREBA KREDIT SKORING MODELA ZA OCJENJIVANJE KREDITNE SPOSOBNOSTI MALIH PODUZETNIKA | 0 |
| 19 | 2 | |
| 20 | Confidence regions and intervals in nonlinear regression | 5 |
About Mirta Benšić
Mirta Benšić is a scholar working on Statistics and Probability, Accounting and Statistics, Probability and Uncertainty, having authored 47 papers that have together received 584 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (8 papers), Food composition and properties (7 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Accounting (142 citations), Statistics, Probability and Uncertainty (54 citations) and Statistics and Probability (60 citations). Mirta Benšić has collaborated with scholars based in Croatia, Bosnia and Herzegovina and United States. Frequent co-authors include Nataša Šarlija, Marijana Zekić–Sušac, Ivana Miličević, Dragan Jukić, Kristian Sabo, Roman Pavić, Rudolf Scitovski, Antun Jozinović, Đurđica Ačkar and Drago Šubarić. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Molecules.
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.