Katrin Franke

3.0k total citations · 1 hit paper
92 papers, 1.6k citations indexed

About

Katrin Franke is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Katrin Franke has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Information Systems, 41 papers in Computer Vision and Pattern Recognition and 30 papers in Artificial Intelligence. Recurrent topics in Katrin Franke's work include Digital and Cyber Forensics (30 papers), Handwritten Text Recognition Techniques (27 papers) and Network Security and Intrusion Detection (25 papers). Katrin Franke is often cited by papers focused on Digital and Cyber Forensics (30 papers), Handwritten Text Recognition Techniques (27 papers) and Network Security and Intrusion Detection (25 papers). Katrin Franke collaborates with scholars based in Norway, Germany and Netherlands. Katrin Franke's co-authors include Ali Dehghantanha, Mauro Conti, Mario Köppen, Lambert Schomaker, Slobodan Petrović, Marius Bulacu, Umapada Pal, Sukalpa Chanda, Andrii Shalaginov and L.G. Vuurpijl and has published in prestigious journals such as Applied Soft Computing, Pattern Recognition Letters and Future Generation Computer Systems.

In The Last Decade

Katrin Franke

91 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Internet of Things security and forensics: Challenges and opportunities

2017 367 citations Katrin Franke et al. profile →

Peers

Katrin Franke

CVPR

AI

IS

CNC

SP

Daniel Lopresti United States

Craig Valli Australia

Bojan Čukić United States

Ammar Almomani Jordan

Jizhong Han China

Tim Wauters Belgium

Leilani Battle United States

Vittorio Castelli United States

Özgür Ulusoy Türkiye

Lifeng Sun China

Daniel Lopresti United States

Katrin Franke

1.0k ×1.5

CVPR

660 ×1.2

AI

422 ×0.8

IS

218 ×0.4

CNC

293 ×0.7

SP

Citations per year, relative to Katrin Franke Katrin Franke (= 1×) peers Daniel Lopresti

Countries citing papers authored by Katrin Franke

Since Specialization

Citations

This map shows the geographic impact of Katrin Franke'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 Katrin Franke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin Franke more than expected).

Fields of papers citing papers by Katrin Franke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrin Franke. 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 Katrin Franke. The network helps show where Katrin Franke may publish in the future.

Co-authorship network of co-authors of Katrin Franke

This figure shows the co-authorship network connecting the top 25 collaborators of Katrin Franke. A scholar is included among the top collaborators of Katrin Franke 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 Katrin Franke. Katrin Franke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Demartini, Gianluca, et al.. (2025). Information analysis in criminal investigations: methods, challenges, and computational opportunities processing unstructured text. Policing A Journal of Policy and Practice. 19. 2 indexed citations

2.

Franke, Katrin, et al.. (2023). Reliability validation enabling framework (RVEF) for digital forensics in criminal investigations. Forensic Science International Digital Investigation. 45. 301554–301554. 4 indexed citations

3.

Franke, Katrin, et al.. (2022). Quantifying data volatility for IoT forensics with examples from Contiki OS. Forensic Science International Digital Investigation. 40. 301343–301343. 6 indexed citations

4.

Franke, Katrin, et al.. (2022). Reliability assessment of digital forensic investigations in the Norwegian police. Forensic Science International Digital Investigation. 40. 301351–301351. 13 indexed citations

5.

Hansen, Joachim, et al.. (2018). Comparing Open Source Search Engine Functionality, Efficiency and Effectiveness with Respect to Digital Forensic Search. Duo Research Archive (University of Oslo). 1 indexed citations

6.

Franke, Katrin, et al.. (2018). Collecting Cyber Threat Intelligence from Hacker Forums via a Two-Stage, Hybrid Process using Support Vector Machines and Latent Dirichlet Allocation. 5008–5013. 34 indexed citations

7.

Hamm, Jeff P., et al.. (2017). Digital Forensics. 8 indexed citations

8.

Shalaginov, Andrii, et al.. (2017). Cyber crime investigations in the era of big data. 2. 3672–3676. 12 indexed citations

9.

Pal, Srikanta, Sukalpa Chanda, Umapada Pal, Katrin Franke, & Michael Blumenstein. (2012). Off-line signature verification using G-SURF. Griffith Research Online (Griffith University, Queensland, Australia). 586–591. 20 indexed citations

10.

Chanda, Sukalpa, Umapada Pal, & Katrin Franke. (2012). Font identification — In context of an Indic script. 1655–1658. 3 indexed citations

11.

Franke, Katrin, et al.. (2011). On General Definition of L1-norm Support VectorMachines for Feature Selection. International Journal of Machine Learning and Computing. 279–283. 5 indexed citations

12.

Nguyễn, Hải Thanh, Katrin Franke, & Slobodan Petrović. (2010). Improving Effectiveness of Intrusion Detection by Correlation Feature Selection. 17–24. 59 indexed citations

13.

Geradts, Zeno, Katrin Franke, & Cor J. Veenman. (2009). Computational Forensics : Third International Workshop, IWCF 2009, The Hague, The Netherlands, August 13-14, 2009. Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations

14.

Heuvel, C.E. van den, et al.. (2009). ICDAR 2009 Signature Verification Competition. Radboud Repository (Radboud University). 1403–1407. 54 indexed citations

15.

Heuvel, C.E. van den, et al.. (2009). The ICDAR 2009 Signature Verification Competition. 1403–1407. 24 indexed citations

16.

Srihari, Sargur N. & Katrin Franke. (2008). Proceedings of the 2nd international workshop on Computational Forensics. 2 indexed citations

17.

Franke, Katrin, Lambert Schomaker, & Mario Köppen. (2005). Pen force emulating robotic writing device and its application. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 36–46. 5 indexed citations

18.

Abraham, Ajith, Mario Köppen, & Katrin Franke. (2003). Design and Application of Hybrid Intelligent Systems. Acquire (CQUniversity). 65 indexed citations

19.

Franke, Katrin, Lambert Schomaker, & L.G. Vuurpijl. (2003). FISH-new: A common ground for computer-based forensic writer identification. Forensic Science International. 136. 84–84. 5 indexed citations

20.

Franke, Katrin, Javier Ruiz‐del‐Solar, & Mario Köppen. (2002). Soft-Biometrics: Soft-Computing for Biometric-Applications. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 11 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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