Jozef Zurada
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Signal Processing top 5%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Jian GuanAlan S. LevitanJun WangWaldemar KarwowskiDonghui ShiYing TanMehmed KantardzicWilliam S. Marras
- Topics
- Imbalanced Data Classification Techniques (11 papers)Neural Networks and Applications (11 papers)Financial Distress and Bankruptcy Prediction (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- United StatesChinaPoland
In The Last Decade
Jozef Zurada
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 320
- Economics and Econometrics 192
- Signal Processing 125
- Management Science and Operations Research 116
- Control and Systems Engineering 98
Countries citing papers authored by Jozef Zurada
This map shows the geographic impact of Jozef Zurada'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 Jozef Zurada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jozef Zurada more than expected).
Fields of papers citing papers by Jozef Zurada
This network shows the impact of papers produced by Jozef Zurada. 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 Jozef Zurada. The network helps show where Jozef Zurada may publish in the future.
Co-authorship network of co-authors of Jozef Zurada
This figure shows the co-authorship network connecting the top 25 collaborators of Jozef Zurada. A scholar is included among the top collaborators of Jozef Zurada 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 Jozef Zurada. Jozef Zurada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 36 | |
| 12 | 9 | |
| 13 | Could decision trees help improve Farm Service Agency lending decisions | 3 |
| 14 | 9 | |
| 15 | 1 | |
| 16 | An Adaptive Neuro-Fuzzy Inference System-Based Approach to Real Estate Property Assessment | 1 |
| 17 | 16 | |
| 18 | 106 | |
| 19 | 22 | |
| 20 | 61 |
About Jozef Zurada
Jozef Zurada is a scholar working on Medical Laboratory Technology, Radiological and Ultrasound Technology and Artificial Intelligence, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (11 papers), Neural Networks and Applications (11 papers) and Financial Distress and Bankruptcy Prediction (10 papers). The work is most often cited by research in Radiological and Ultrasound Technology (91 citations), Medical Laboratory Technology (26 citations) and Signal Processing (125 citations). Jozef Zurada has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jian Guan, Alan S. Levitan, Jun Wang, Waldemar Karwowski, Donghui Shi, Ying Tan, Mehmed Kantardzic, William S. Marras, Andrew Manikas and Celina M. Olszak. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.