Elisabeth Georgii

2.0k citations
25 papers · 829 indexed · h-index 14
Topics
Gene expression and cancer classification (8 papers)Bioinformatics and Genomic Networks (7 papers)Plant Molecular Biology Research (7 papers)
Partner nations
GermanyAustriaFinland

In The Last Decade

Elisabeth Georgii

25 papers receiving 817 citations

Peers

Elisabeth Georgii
Comparison fields: 5 of 92
  • Plant Science 443
  • Molecular Biology 422
  • Computational Theory and Mathematics 113
  • Information Systems 54
  • Insect Science 53
Replace Christian N. S. Pedersen with:
Christian N. S. Pedersen Denmark
Lin Hao China
Anne Fennell United States
Hongfang Liu United States
Christophe P. Tissier United States
Michiel Noordewier United States
Gang Fu China
Deept Kumar United States
Tonghua Li China
Osamu Maruyama Japan
Elisabeth Georgii relative to Christian N. S. Pedersen Denmark Christian N. S. Pedersen's profile →
Citations per field
00.5×4.5×
Christian N. S. Pedersen · 1×
Citations per year

Countries citing papers authored by Elisabeth Georgii

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Georgii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Georgii

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Georgii. A scholar is included among the top collaborators of Elisabeth Georgii 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 Elisabeth Georgii. Elisabeth Georgii 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
#WorkIndexed citations
1 1
2 3
3 8
4 7
5 8
6 15
7 48
8 18
9 13
10 31
11 17
12 215
13 52
14 104
15 27
16 16
17 10
18 7
19 4
20 2

About Elisabeth Georgii

Elisabeth Georgii is a scholar working on Computational Mathematics, Plant Science and Molecular Biology, having authored 25 papers that have together received 829 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (7 papers) and Plant Molecular Biology Research (7 papers). The work is most often cited by research in Plant Science (443 citations), Computational Theory and Mathematics (113 citations) and Molecular Biology (422 citations). Elisabeth Georgii has collaborated with scholars based in Germany, Austria and Finland. Frequent co-authors include Jörg‐Peter Schnitzler, Jörg Durner, Andrea Ghirardo, Christian Lindermayr, Jane E. Parker, A. Corina Vlot, Sanjukta Dey, Claudia Knappe, Marion Wenig and Alexander Mengel. Their work appears in journals such as Bioinformatics, PLoS ONE and The Plant Cell.

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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