Robert Giegerich
- Molecular Biology top 1%
- Cancer Research top 1%
- Artificial Intelligence top 2%
- Plant Science top 5%
- Genetics top 5%
- Co-authors
- Steffen PeterMarc RehmsmeierJens ReederStefan KurtzBjörn VoßPaul P. GardnerStefan JanssenJay E. Reeder
- Topics
- RNA and protein synthesis mechanisms (60 papers)Genomics and Phylogenetic Studies (39 papers)RNA modifications and cancer (32 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Robert Giegerich
107 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 4.3k
- Cancer Research 1.5k
- Artificial Intelligence 650
- Plant Science 642
- Genetics 542
Countries citing papers authored by Robert Giegerich
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 22 | |
| 6 | 5 | |
| 7 | 80 | |
| 8 | PoSSuMsearch: Fast and sensitive matching of position specific scoring matrices using enhanced suffix arrays | 20 |
| 9 | Identification of 10,500 Xenopus laevis Full Length Clones through EST Clustering and Sequence Analysis | 0 |
| 10 | 44 | |
| 11 | 101 | |
| 12 | Prediction of conformational switching in RNA. | 2 |
| 13 | Towards A Discipline of Dynamic Programming | 4 |
| 14 | Reducing the Conformation Space in RNA Structure Prediction. | 15 |
| 15 | 11 | |
| 16 | An Algebraic Dynamic Programming Approach to the Analysis of Recombinant DNA Sequences | 2 |
| 17 | Sequence Analysis with Distributed Resources: A WWW-Based Course. | 2 |
| 18 | 22 | |
| 19 | On the structure of verifiable code generator specifications | 2 |
| 20 | A note on termination in combinatiosn of heterogeneous term rewriting systems. | 3 |
About Robert Giegerich
Robert Giegerich is a scholar working on Artificial Intelligence, Hardware and Architecture and Molecular Biology, having authored 113 papers that have together received 5.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (60 papers), Genomics and Phylogenetic Studies (39 papers) and RNA modifications and cancer (32 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (4.3k citations) and Software (100 citations). Robert Giegerich has collaborated with scholars based in Germany, United States and France. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.