Herna L. Viktor
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques 12
- Data Stream Mining Techniques 9
- Machine Learning and Data Classification 8
- Neural Networks and Applications 7
- Health Informatics top 5%
- Information Systems top 5%
- Data Mining Algorithms and Applications 21
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- Protein Structure and Dynamics 11
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- Computational Drug Discovery Methods 7
- Rough Sets and Fuzzy Logic 5
- Co-authors
- Hongyu GuoEric PaquetNathalie JapkowiczWojtek MichalowskiFarzan SoleymaniDavide SpinelloPaula BrancoGuy-Vincent Jourdan
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Expert Systems with Applications (2 papers)
- Partner nations
- CanadaUnited StatesSouth Africa
In The Last Decade
Herna L. Viktor
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 656
- Health Informatics 25
- Health Information Management 51
- Management Science and Operations Research 121
- Information Systems 203
Countries citing papers authored by Herna L. Viktor
This map shows the geographic impact of Herna L. Viktor'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 Herna L. Viktor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herna L. Viktor more than expected).
Fields of papers citing papers by Herna L. Viktor
This network shows the impact of papers produced by Herna L. Viktor. 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 Herna L. Viktor. The network helps show where Herna L. Viktor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Herna L. Viktor, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 11 | |
| 11 | Instance-Based Integration of Multidimensional Data Models | 2014 | 1 |
| 12 | Merging Multidimensional Data Models: A Practical Approach for Schema and Data Instances | 2013 | 4 |
| 13 | 2010 | 0 | |
| 14 | 2009 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2000 | 1 | |
| 17 | Data mining in practice: from data to knowledge using a hybrid mining approach. | 2000 | 1 |
| 18 | Dynamic knowledge-base construction through knowledge discovery | 2000 | 1 |
| 19 | Enhancing Government Decision Making through Knowledge Discovery from Data | 2000 | 5 |
| 20 | 1997 | 8 |
About Herna L. Viktor
Herna L. Viktor is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (21 papers), Imbalanced Data Classification Techniques (12 papers), Protein Structure and Dynamics (11 papers), Data Stream Mining Techniques (9 papers), Machine Learning and Data Classification (8 papers), Computational Drug Discovery Methods (7 papers), Neural Networks and Applications (7 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Artificial Intelligence (656 citations), Health Informatics (25 citations) and Health Information Management (51 citations). Herna L. Viktor has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include Hongyu Guo, Eric Paquet, Hongyu Guo, Nathalie Japkowicz, Wojtek Michalowski, Farzan Soleymani, Davide Spinello, Paula Branco, Guy-Vincent Jourdan and Julie Doyle. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.
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.