Rudolf Haraksim
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Genetics
- Safety Research top 10%
- Co-authors
- Didier MeuwlyDaniel RamosLaurent BeslayJavier GalballyPeter PeerCharles E.H. BergerPasquale FerraraMarjan Sjerps
- Topics
- Biometric Identification and Security (14 papers)Forensic Fingerprint Detection Methods (12 papers)Forensic and Genetic Research (9 papers)
- Partner nations
- ItalyNetherlandsSwitzerland
In The Last Decade
Rudolf Haraksim
18 papers receiving 244 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 98
- Computer Vision and Pattern Recognition 93
- Artificial Intelligence 68
- Genetics 65
- Safety Research 62
Countries citing papers authored by Rudolf Haraksim
This map shows the geographic impact of Rudolf Haraksim'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 Rudolf Haraksim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Haraksim more than expected).
Fields of papers citing papers by Rudolf Haraksim
This network shows the impact of papers produced by Rudolf Haraksim. 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 Rudolf Haraksim. The network helps show where Rudolf Haraksim may publish in the future.
Co-authorship network of co-authors of Rudolf Haraksim
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Haraksim. A scholar is included among the top collaborators of Rudolf Haraksim 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 Rudolf Haraksim. Rudolf Haraksim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 50 | |
| 12 | 111 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 17 | |
| 17 | Assignment of the evidential value of a fingermark general pattern using a Bayesian network | 3 |
| 18 | Influence of the datasets size on the stability of the LR in the lower region of the within source distribution | 1 |
About Rudolf Haraksim
Rudolf Haraksim is a scholar working on Safety Research, Signal Processing and Space and Planetary Science, having authored 18 papers that have together received 261 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Forensic Fingerprint Detection Methods (12 papers) and Forensic and Genetic Research (9 papers). The work is most often cited by research in Signal Processing (98 citations), Safety Research (62 citations) and Computer Vision and Pattern Recognition (93 citations). Rudolf Haraksim has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Didier Meuwly, Daniel Ramos, Laurent Beslay, Javier Galbally, Peter Peer, Charles E.H. Berger, Pasquale Ferrara, Marjan Sjerps, Peter Vergeer and Martin Aastrup Olsen. Their work appears in journals such as Sensors, Pattern Recognition and Knowledge-Based Systems.
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.