Ivanna K. Timotius
- Computer Vision and Pattern Recognition top 10%
- Cellular and Molecular Neuroscience
- Molecular Biology
- Neurology
- Signal Processing
- Co-authors
- Iwan SetyawanStephan von HörstenJochen KluckenBjoern M. EskofierJürgen WinklerOlaf RießNicolas CasadeiShaou-Gang Miaou
- Topics
- Face recognition and analysis (12 papers)Face and Expression Recognition (12 papers)Parkinson's Disease Mechanisms and Treatments (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionCellular and Molecular Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsBehavioural Brain Research
In The Last Decade
Ivanna K. Timotius
38 papers receiving 286 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 114
- Cellular and Molecular Neuroscience 67
- Molecular Biology 35
- Neurology 35
- Signal Processing 33
Countries citing papers authored by Ivanna K. Timotius
This map shows the geographic impact of Ivanna K. Timotius'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 Ivanna K. Timotius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivanna K. Timotius more than expected).
Fields of papers citing papers by Ivanna K. Timotius
This network shows the impact of papers produced by Ivanna K. Timotius. 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 Ivanna K. Timotius. The network helps show where Ivanna K. Timotius may publish in the future.
Co-authorship network of co-authors of Ivanna K. Timotius
This figure shows the co-authorship network connecting the top 25 collaborators of Ivanna K. Timotius. A scholar is included among the top collaborators of Ivanna K. Timotius 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 Ivanna K. Timotius. Ivanna K. Timotius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 19 | |
| 9 | 15 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 24 | |
| 13 | Performance Comparison between Principal Component Analysis and Linear Discriminant Analysis in a Gender Recognition System | 3 |
| 14 | Sistem Pendeteksi Senyum Berdasarkan Metode Edge Detection, Histogram Equalization, dan Nearest Neighbor | 0 |
| 15 | 12 | |
| 16 | 5 | |
| 17 | PENGGUNAAN TRANSFORMASI WAVELET DALAM SISTEM PENGENALAN ISYARAT TANGAN DENGAN BEBERAPA KOMBINASI PRA PROSES | 0 |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 23 |
About Ivanna K. Timotius
Ivanna K. Timotius is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 43 papers that have together received 299 indexed citations. Recurring topics across this work include Face recognition and analysis (12 papers), Face and Expression Recognition (12 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Human-Computer Interaction (22 citations) and Cellular and Molecular Neuroscience (67 citations). Ivanna K. Timotius has collaborated with scholars based in Indonesia, Germany and Taiwan. Frequent co-authors include Iwan Setyawan, Stephan von Hörsten, Jochen Klucken, Bjoern M. Eskofier, Jürgen Winkler, Olaf Rieß, Nicolas Casadei, Shaou-Gang Miaou, Fabio Canneva and Georgia Minakaki. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Behavioural Brain Research.
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.