Herna L. Viktor
- Artificial Intelligence top 2%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Management Science and Operations Research top 5%
- Co-authors
- Hongyu GuoEric PaquetNathalie JapkowiczWojtek MichalowskiFarzan SoleymaniDavide SpinelloPaula BrancoGuy-Vincent Jourdan
- Topics
- Data Mining Algorithms and Applications (21 papers)Imbalanced Data Classification Techniques (12 papers)Protein Structure and Dynamics (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with Applications
- 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
- Information Systems 203
- Electrical and Electronic Engineering 192
- Molecular Biology 186
- Management Science and Operations Research 121
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 of co-authors of Herna L. Viktor
This figure shows the co-authorship network connecting the top 25 collaborators of Herna L. Viktor. A scholar is included among the top collaborators of Herna L. Viktor 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 Herna L. Viktor. Herna L. Viktor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | Instance-Based Integration of Multidimensional Data Models | 1 |
| 12 | Merging Multidimensional Data Models: A Practical Approach for Schema and Data Instances | 4 |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Data mining in practice: from data to knowledge using a hybrid mining approach. | 1 |
| 18 | Dynamic knowledge-base construction through knowledge discovery | 1 |
| 19 | Enhancing Government Decision Making through Knowledge Discovery from Data | 5 |
| 20 | 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) and Protein Structure and Dynamics (11 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.