Bruno Trstenjak
Impact in
- Artificial Intelligence top 10%
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Imbalanced Data Classification Techniques
- Information Systems top 10%
- Spam and Phishing Detection
- Data Mining and Machine Learning Applications
Papers in
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- Data Mining Algorithms and Applications 2
- Spam and Phishing Detection 1
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- Text and Document Classification Technologies 2
- Imbalanced Data Classification Techniques 1
- Co-authors
- Dženana Đonko (5 shared papers)
- Journals
- Engineering Technology & Applied Science Research (2 papers)Journal of Economics Business and Management (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Procedia Engineering (1 paper)
- Partner nations
- CroatiaBosnia and HerzegovinaSlovenia
In The Last Decade
Bruno Trstenjak
7 papers receiving 259 citations
Bruno Trstenjak's Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 176
- Information Systems 104
- Computer Science Applications 22
- Health Information Management 8
- Health Informatics 2
Countries citing papers authored by Bruno Trstenjak
This map shows the geographic impact of Bruno Trstenjak'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 Bruno Trstenjak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Trstenjak more than expected).
Fields of papers citing papers by Bruno Trstenjak
This network shows the impact of papers produced by Bruno Trstenjak. 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 Bruno Trstenjak. The network helps show where Bruno Trstenjak may publish in the future.
Co-authors
The 1 scholars most cited alongside Bruno Trstenjak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | KNN with TF-IDF based Framework for Text Categorization Hit paper breakdown → | 2014 | 238 |
| 2 | 2014 | 19 | |
| 3 | 2016 | 9 | |
| 4 | 2014 | 6 | |
| 5 | 2016 | 3 | |
| 6 | 2019 | 2 | |
| 7 | 2014 | 2 | |
| 8 | Kompetencije u tjelesnom i zdravstvenom odgojno obrazovnom području: učenička procjena važnosti | 2012 | 0 |
About Bruno Trstenjak
Bruno Trstenjak is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Civil and Structural Engineering and Strategy and Management, having authored 8 papers that have together received 279 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (2 papers), Text and Document Classification Technologies (2 papers), Imbalanced Data Classification Techniques (1 paper), Artificial Intelligence in Healthcare (1 paper), Strategic Planning and Analysis (1 paper), Spam and Phishing Detection (1 paper), Water Systems and Optimization (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Artificial Intelligence (176 citations), Information Systems (104 citations), Computer Science Applications (22 citations), Health Information Management (8 citations) and Health Informatics (2 citations). Bruno Trstenjak has collaborated with scholars based in Croatia, Bosnia and Herzegovina and Slovenia. Frequent co-authors include Dženana Đonko. Their work appears in journals such as Engineering Technology & Applied Science Research, Journal of Economics Business and Management, Zenodo (CERN European Organization for Nuclear Research) and Procedia Engineering.
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.