Ivo Große
- Molecular Biology top 2%
- Plant Science top 1%
- Economics and Econometrics top 1%
- Genetics top 5%
- Cancer Research top 5%
- Co-authors
- H. Eugene StanleyHanspeter HerzelJan GrauJens KeilwagenBoris PodobnikDavor HorvatićMichael Q. ZhangRamana V. Davuluri
- Topics
- Genomics and Chromatin Dynamics (26 papers)Genomics and Phylogenetic Studies (25 papers)RNA and protein synthesis mechanisms (21 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ivo Große
139 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 3.3k
- Plant Science 1.7k
- Economics and Econometrics 881
- Genetics 607
- Cancer Research 579
Countries citing papers authored by Ivo Große
This map shows the geographic impact of Ivo Große'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 Ivo Große with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivo Große more than expected).
Fields of papers citing papers by Ivo Große
This network shows the impact of papers produced by Ivo Große. 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 Ivo Große. The network helps show where Ivo Große may publish in the future.
Co-authorship network of co-authors of Ivo Große
This figure shows the co-authorship network connecting the top 25 collaborators of Ivo Große. A scholar is included among the top collaborators of Ivo Große 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 Ivo Große. Ivo Große is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 20 | |
| 7 | 5 | |
| 8 | 130 | |
| 9 | 45 | |
| 10 | 41 | |
| 11 | Dealing with small data: On the generalization of context trees | 5 |
| 12 | 7 | |
| 13 | 91 | |
| 14 | ICGenomics: A PROGRAM COMPLEX FOR ANALYSIS OF SYMBOL SEQUENCES IN GENOMICS | 5 |
| 15 | 17 | |
| 16 | Jstacs: a java framework for statistical analysis and classification of biological sequences | 34 |
| 17 | Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data. | 1 |
| 18 | Supervised posteriors for DNA-motif classification | 4 |
| 19 | 12 | |
| 20 | 104 |
About Ivo Große
Ivo Große is a scholar working on Molecular Biology, Plant Science and Cancer Research, having authored 142 papers that have together received 6.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (26 papers), Genomics and Phylogenetic Studies (25 papers) and RNA and protein synthesis mechanisms (21 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Plant Science (1.7k citations) and Statistical and Nonlinear Physics (508 citations). Ivo Große has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include H. Eugene Stanley, Hanspeter Herzel, Jan Grau, Jens Keilwagen, Boris Podobnik, Davor Horvatić, Michael Q. Zhang, Ramana V. Davuluri, Panagiotis Alexiou and Artemis G. Hatzigeorgiou. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.