Dirk Labudde

1.4k total citations
80 papers, 1.1k citations indexed

About

Dirk Labudde is a scholar working on Molecular Biology, Information Systems and Genetics. According to data from OpenAlex, Dirk Labudde has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 9 papers in Information Systems and 9 papers in Genetics. Recurrent topics in Dirk Labudde's work include Protein Structure and Dynamics (19 papers), Machine Learning in Bioinformatics (9 papers) and Forensic and Genetic Research (9 papers). Dirk Labudde is often cited by papers focused on Protein Structure and Dynamics (19 papers), Machine Learning in Bioinformatics (9 papers) and Forensic and Genetic Research (9 papers). Dirk Labudde collaborates with scholars based in Germany, Switzerland and United States. Dirk Labudde's co-authors include Hartmut Oschkinat, Mario Schubert, Peter Schmieder, Dietmar Leitner, Christian Freund, Daniel J. Müller, Florian Kaiser, Sebastian Bittrich, Elke Boschke and K. Tanuj Sapra and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Dirk Labudde

70 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dirk Labudde Germany 18 761 140 103 76 69 80 1.1k
Nicholas M. Glykos Greece 18 926 1.2× 300 2.1× 135 1.3× 67 0.9× 49 0.7× 50 1.2k
Soung‐Hun Roh South Korea 23 1.2k 1.5× 196 1.4× 161 1.6× 110 1.4× 147 2.1× 44 1.6k
Jonathan W. Arthur Australia 22 882 1.2× 106 0.8× 106 1.0× 67 0.9× 30 0.4× 42 1.3k
Karunesh Arora United States 20 989 1.3× 254 1.8× 150 1.5× 66 0.9× 38 0.6× 51 1.3k
Thomas Lemmin Switzerland 19 862 1.1× 170 1.2× 91 0.9× 147 1.9× 84 1.2× 40 1.3k
Gordon Lemmon United States 12 949 1.2× 218 1.6× 81 0.8× 39 0.5× 74 1.1× 16 1.3k
Rubén Sánchez-García Spain 11 760 1.0× 133 0.9× 91 0.9× 96 1.3× 56 0.8× 28 1.2k
Anurag Sethi United States 20 1.3k 1.7× 148 1.1× 158 1.5× 58 0.8× 71 1.0× 35 1.7k
Coos Baakman Netherlands 7 799 1.0× 183 1.3× 122 1.2× 51 0.7× 87 1.3× 10 1.0k
Matías Machado Uruguay 17 981 1.3× 252 1.8× 68 0.7× 47 0.6× 65 0.9× 31 1.2k

Countries citing papers authored by Dirk Labudde

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Labudde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Labudde

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

All Works

20 of 20 papers shown
1.
Siegel, Melanie, et al.. (2024). Towards a joint semantic analysis in mobile forensics environments. Forensic Science International Digital Investigation. 52. 301846–301846.
2.
Labudde, Dirk, et al.. (2024). The role of a digital twin in supporting criminal investigations - a case report about a possible abuse. Forensic Science Medicine and Pathology. 21(1). 245–254. 1 indexed citations
3.
Labudde, Dirk, et al.. (2020). Towards Inter-Rater-Agreement-Learning. 10–14. 2 indexed citations
4.
Schmid, Florian, et al.. (2019). FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques.. 1 indexed citations
5.
Labudde, Dirk, et al.. (2019). Multi-Label Classification of Blurbs with SVM Classifier Chains.. 1 indexed citations
6.
Bittrich, Sebastian, et al.. (2019). Application of an interpretable classification model on Early Folding Residues during protein folding. BioData Mining. 12(1). 1–1. 17 indexed citations
7.
Kaiser, Florian, Sebastian Bittrich, Sebastian Salentin, et al.. (2018). Backbone Brackets and Arginine Tweezers delineate Class I and Class II aminoacyl tRNA synthetases. PLoS Computational Biology. 14(4). e1006101–e1006101. 16 indexed citations
8.
Labudde, Dirk, et al.. (2018). Opinion Leaders in Star-Like Social Networks: A Simple Case?. 33–38. 1 indexed citations
9.
Westphal, Adrie H., Dirk Tischler, Sarah Hofmann, et al.. (2018). Pyridine Nucleotide Coenzyme Specificity of p-Hydroxybenzoate Hydroxylase and Related Flavoprotein Monooxygenases. Frontiers in Microbiology. 9. 3050–3050. 24 indexed citations
10.
Kaiser, Florian & Dirk Labudde. (2017). Unsupervised Discovery of Geometrically Common Structural Motifs and Long-Range Contacts in Protein 3D Structures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(2). 671–680. 3 indexed citations
11.
Labudde, Dirk, et al.. (2017). SoNA: A Knowledge-based Social Network Analysis Framework for Predictive Policing. 10. 147–156. 1 indexed citations
12.
Krause, Benjamin, et al.. (2014). Hybrid Cloud Architecture for Software-as-a-Service Provider to Achieve Higher Privacy and Decrease Security Concerns about Cloud Computing. 94–99. 2 indexed citations
13.
Labudde, Dirk, et al.. (2013). Graph representation of high-dimensional alpha-helical membrane protein data. BioData Mining. 6(1). 21–21. 2 indexed citations
14.
Andreopoulos, Bill & Dirk Labudde. (2011). Efficient unfolding pattern recognition in single molecule force spectroscopy data. Algorithms for Molecular Biology. 6(1). 16–16. 9 indexed citations
15.
Andreopoulos, Bill, Aijun An, Xiaogang Wang, & Dirk Labudde. (2008). Efficient layered density-based clustering of categorical data. Journal of Biomedical Informatics. 42(2). 365–376. 5 indexed citations
16.
Marsico, Annalisa, et al.. (2007). Understanding of SMFS barriers by means of energy profiles. 90–99. 2 indexed citations
17.
Labudde, Dirk, Annalisa Marsico, K. Tanuj Sapra, & Michael Schroeder. (2007). Pattern recognition of single-molecule force spectroscopy data. 3–13.
18.
Brockmann, Christoph, Dietmar Leitner, Dirk Labudde, et al.. (2004). The solution structure of the SODD BAG domain reveals additional electrostatic interactions in the HSP70 complexes of SODD subfamily BAG domains. FEBS Letters. 558(1-3). 101–106. 13 indexed citations
19.
Leitner, Dietmar, et al.. (2004). COPS—Cis/transpeptide bond conformation prediction of amino acids on the basis of secondary structure information. Bioinformatics. 21(5). 685–686. 20 indexed citations
20.
Strauss, Holger M., et al.. (2002). NblA from Anabaena sp. PCC 7120 is a mostly α‐helical protein undergoing reversible trimerization in solution. European Journal of Biochemistry. 269(18). 4617–4624. 5 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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