Rudolf Haraksim

445 total citations
18 papers, 261 citations indexed

About

Rudolf Haraksim is a scholar working on Signal Processing, Safety Research and Genetics. According to data from OpenAlex, Rudolf Haraksim has authored 18 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 12 papers in Safety Research and 9 papers in Genetics. Recurrent topics in Rudolf Haraksim's work include Biometric Identification and Security (14 papers), Forensic Fingerprint Detection Methods (12 papers) and Forensic and Genetic Research (9 papers). Rudolf Haraksim is often cited by papers focused on Biometric Identification and Security (14 papers), Forensic Fingerprint Detection Methods (12 papers) and Forensic and Genetic Research (9 papers). Rudolf Haraksim collaborates with scholars based in Italy, Netherlands and Switzerland. Rudolf Haraksim's 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 and has published in prestigious journals such as Sensors, Pattern Recognition and Knowledge-Based Systems.

In The Last Decade

Rudolf Haraksim

18 papers receiving 244 citations

Peers

Rudolf Haraksim

CVPR

GENET

Roberto Puch‐Solis United Kingdom

Soweon Yoon United States

Ewald Enzinger Australia

Xuejun Tan United States

Soumyadip Rakshit United Kingdom

Philip Bontrager United States

Akio Tojo Japan

Costas S. Iliopoulos United Kingdom

Mulagala Sandhya India

Pasquale Ferrara Italy

Roberto Puch‐Solis United Kingdom

Rudolf Haraksim

95 ×1.0

42 ×0.5

CVPR

69 ×1.0

305 ×4.7

GENET

91 ×1.5

Citations per year, relative to Rudolf Haraksim Rudolf Haraksim (= 1×) peers Roberto Puch‐Solis

Countries citing papers authored by Rudolf Haraksim

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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18 of 18 papers shown

Haraksim, Rudolf, et al.. (2023). Probabilistic Fingermark Quality Assessment with Quality Region Localisation. Sensors. 23(8). 4006–4006. 3 indexed citations

Haraksim, Rudolf, et al.. (2022). Fingermark quality assessment framework with classic and deep learning ensemble models. Knowledge-Based Systems. 250. 109148–109148. 12 indexed citations

Haraksim, Rudolf, et al.. (2021). Fingermark Quality Assessment: An Open-Source Toolbox. 1–7. 3 indexed citations

Ferrara, Pasquale, Rudolf Haraksim, & Laurent Beslay. (2021). Performance Evaluation of Source Camera Attribution by Using Likelihood Ratio Methods. Journal of Imaging. 7(7). 116–116. 3 indexed citations

Haraksim, Rudolf, et al.. (2019). Study on Fingermark and Palmmark Identification Technologies for its Implementation in the Schengen Information System. Joint Research Centre (European Commission). 1 indexed citations

Ferrara, Pasquale, et al.. (2019). Study on Face Identification Technology for its implementation in the Schengen Information System. Joint Research Centre (European Commission). 6 indexed citations

Galbally, Javier, Rudolf Haraksim, Pasquale Ferrara, Laurent Beslay, & Elham Tabassi. (2019). Fingerprint Quality: Mapping NFIQ1 Classes and NFIQ2 Values. 1–8. 1 indexed citations

Galbally, Javier, Rudolf Haraksim, & Laurent Beslay. (2018). Fingerprint Quality: a Lifetime Story. 1–5. 2 indexed citations

Haraksim, Rudolf, Javier Galbally, & Laurent Beslay. (2018). Fingerprint growth model for mitigating the ageing effect on children’s fingerprints matching. Pattern Recognition. 88. 614–628. 13 indexed citations

10.

Beslay, Laurent, et al.. (2018). Automatic fingerprint recognition: from children to elderlyAgeing and age effects. Joint Research Centre (European Commission). 2 indexed citations

11.

Galbally, Javier, Rudolf Haraksim, & Laurent Beslay. (2018). A Study of Age and Ageing in Fingerprint Biometrics. IEEE Transactions on Information Forensics and Security. 14(5). 1351–1365. 50 indexed citations

12.

Meuwly, Didier, Daniel Ramos, & Rudolf Haraksim. (2016). A guideline for the validation of likelihood ratio methods used for forensic evidence evaluation. Forensic Science International. 276. 142–153. 111 indexed citations

13.

Haraksim, Rudolf, Daniel Ramos, & Didier Meuwly. (2016). Validation of likelihood ratio methods for forensic evidence evaluation handling multimodal score distributions. IET Biometrics. 6(2). 61–69. 8 indexed citations

14.

Haraksim, Rudolf, et al.. (2016). Altered fingerprint detection – algorithm performance evaluation. IRIS. 307. 1–6. 2 indexed citations

15.

Ramos, Daniel, Rudolf Haraksim, & Didier Meuwly. (2016). Likelihood ratio data to report the validation of a forensic fingerprint evaluation method. Data in Brief. 10. 75–92. 23 indexed citations

16.

Haraksim, Rudolf, Daniel Ramos, Didier Meuwly, & Charles E.H. Berger. (2015). Measuring coherence of computer-assisted likelihood ratio methods. Forensic Science International. 249. 123–132. 17 indexed citations

17.

Haraksim, Rudolf, et al.. (2013). Assignment of the evidential value of a fingermark general pattern using a Bayesian network. UvA-DARE (University of Amsterdam). 212. 1–11. 3 indexed citations

18.

Haraksim, Rudolf & Didier Meuwly. (2013). Influence of the datasets size on the stability of the LR in the lower region of the within source distribution. Radboud Repository (Radboud University). 34–38. 1 indexed citations

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.

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