Robert Giegerich

8.5k total citations · 1 hit paper
113 papers, 5.7k citations indexed

About

Robert Giegerich is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Robert Giegerich has authored 113 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 43 papers in Artificial Intelligence and 10 papers in Computational Theory and Mathematics. Recurrent topics in Robert Giegerich's work include RNA and protein synthesis mechanisms (60 papers), Genomics and Phylogenetic Studies (39 papers) and RNA modifications and cancer (32 papers). Robert Giegerich is often cited by papers focused on RNA and protein synthesis mechanisms (60 papers), Genomics and Phylogenetic Studies (39 papers) and RNA modifications and cancer (32 papers). Robert Giegerich collaborates with scholars based in Germany, United States and France. Robert Giegerich's co-authors include Steffen Peter, Marc Rehmsmeier, Jens Reeder, Stefan Kurtz, Björn Voß, Paul P. Gardner, Stefan Janssen, Jay E. Reeder, Chris Schleiermacher and Folker Meyer and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Robert Giegerich

107 papers receiving 5.5k citations

Hit Papers

Fast and effective prediction of microRNA/target duplexes 2004 2026 2011 2018 2004 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Giegerich Germany 33 4.3k 1.5k 650 642 542 113 5.7k
Wing‐Kin Sung Singapore 45 6.5k 1.5× 1.1k 0.7× 580 0.9× 823 1.3× 1.3k 2.4× 211 8.6k
Michael Brudno Canada 39 6.3k 1.5× 913 0.6× 997 1.5× 1.4k 2.2× 2.3k 4.3× 137 9.1k
S. Cenk Şahinalp Canada 25 3.1k 0.7× 636 0.4× 425 0.7× 661 1.0× 1.1k 2.0× 58 4.6k
Simon Kasif United States 39 5.9k 1.4× 384 0.3× 1.1k 1.7× 507 0.8× 794 1.5× 124 8.2k
Teresa M. Przytycka United States 44 4.5k 1.0× 485 0.3× 313 0.5× 347 0.5× 762 1.4× 157 5.7k
Sven Rahmann Germany 31 2.9k 0.7× 508 0.3× 272 0.4× 354 0.6× 528 1.0× 132 4.3k
Bruce A. Shapiro United States 48 5.5k 1.3× 490 0.3× 366 0.6× 474 0.7× 467 0.9× 178 7.1k
Mark Diekhans United States 35 4.9k 1.1× 891 0.6× 346 0.5× 1.4k 2.1× 1.5k 2.8× 52 6.7k
Knut Reinert Germany 37 3.9k 0.9× 242 0.2× 504 0.8× 844 1.3× 1.0k 1.9× 124 5.0k

Countries citing papers authored by Robert Giegerich

Since Specialization
Citations

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

Fields of papers citing papers by Robert Giegerich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Giegerich

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Giegerich. A scholar is included among the top collaborators of Robert Giegerich 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 Robert Giegerich. Robert Giegerich 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.
Janssen, Stefan & Robert Giegerich. (2015). Ambivalent covariance models. BMC Bioinformatics. 16(1). 178–178. 4 indexed citations
2.
Gillett, Alan, et al.. (2013). A Silent Exonic SNP in Kdm3a Affects Nucleic Acids Structure but Does Not Regulate Experimental Autoimmune Encephalomyelitis. PLoS ONE. 8(12). e81912–e81912. 2 indexed citations
3.
Giegerich, Robert, et al.. (2013). Yield grammar analysis and product optimization in a domain-specific language for dynamic programming. Science of Computer Programming. 87. 2–22. 3 indexed citations
4.
Giegerich, Robert, et al.. (2012). Forest alignment with affine gaps and anchors, applied in RNA structure comparison. Theoretical Computer Science. 483. 51–67. 7 indexed citations
5.
Janssen, Stefan, Christian Schudoma, Gerhard Steger, & Robert Giegerich. (2011). Lost in folding space? Comparing four variants of the thermodynamic model for RNA secondary structure prediction. BMC Bioinformatics. 12(1). 429–429. 22 indexed citations
6.
Sczyrba, Alexander, Silvana Konermann, & Robert Giegerich. (2008). Two interactive Bioinformatics courses at the Bielefeld University Bioinformatics Server. Briefings in Bioinformatics. 9(3). 243–249. 5 indexed citations
7.
Reeder, Jay E., Steffen Peter, & Robert Giegerich. (2007). pknotsRG: RNA pseudoknot folding including near-optimal structures and sliding windows. Nucleic Acids Research. 35(Web Server). W320–W324. 80 indexed citations
8.
Beckstette, Michael, et al.. (2004). PoSSuMsearch: Fast and sensitive matching of position specific scoring matrices using enhanced suffix arrays. PUB – Publications at Bielefeld University (Bielefeld University). 53–64. 20 indexed citations
9.
Sczyrba, Alexander, et al.. (2004). Identification of 10,500 Xenopus laevis Full Length Clones through EST Clustering and Sequence Analysis. PUB – Publications at Bielefeld University (Bielefeld University).
10.
Voß, Björn, Carsten Meyer, & Robert Giegerich. (2004). Evaluating the predictability of conformational switching in RNA. Bioinformatics. 20(10). 1573–1582. 44 indexed citations
11.
Voß, Björn, et al.. (2004). Pure multiple RNA secondary structure alignments: a progressive profile approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 1(1). 53–62. 101 indexed citations
12.
Voß, Björn & Robert Giegerich. (2003). Prediction of conformational switching in RNA.. 173–178. 2 indexed citations
13.
Giegerich, Robert. (2002). Towards A Discipline of Dynamic Programming. 3–44. 4 indexed citations
14.
Giegerich, Robert, et al.. (2001). Reducing the Conformation Space in RNA Structure Prediction.. PUB – Publications at Bielefeld University (Bielefeld University). 118–124. 15 indexed citations
15.
Fuellen, Georg, Johann‐Wolfgang Wägele, & Robert Giegerich. (2001). Minimum conflict: a divide-and-conquer approach to phylogeny estimation. Bioinformatics. 17(12). 1168–1178. 11 indexed citations
16.
Giegerich, Robert, et al.. (1999). An Algebraic Dynamic Programming Approach to the Analysis of Recombinant DNA Sequences. 2 indexed citations
17.
Giegerich, Robert, et al.. (1996). Sequence Analysis with Distributed Resources: A WWW-Based Course.. 208. 2 indexed citations
18.
Giegerich, Robert & Stefan Kurtz. (1995). A comparison of imperative and purely functional suffix tree constructions. Science of Computer Programming. 25(2-3). 187–218. 22 indexed citations
19.
Giegerich, Robert. (1989). On the structure of verifiable code generator specifications. PUB – Publications at Bielefeld University (Bielefeld University). 25(6). 1–8. 2 indexed citations
20.
Ganzinger, Harald & Robert Giegerich. (1987). A note on termination in combinatiosn of heterogeneous term rewriting systems.. Bulletin of the European Association for Theoretical Computer Science. 31. 22–27. 3 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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