Eivind Almaas
- Molecular Biology top 5%
- Statistical and Nonlinear Physics top 1%
- Biomedical Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Genetics
- Co-authors
- Albert-Ĺaszló BarabásiZoltán N. OltvaiStefan WuchtyTamás VicsekBianka KovácsD. StroudIver BrevikKatja Nowick
- Topics
- Microbial Metabolic Engineering and Bioproduction (30 papers)Bioinformatics and Genomic Networks (25 papers)Gene Regulatory Network Analysis (19 papers)
- Partner nations
- NorwayUnited StatesGermany
In The Last Decade
Eivind Almaas
73 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 163
- Molecular Biology 1.5k
- Statistical and Nonlinear Physics 664
- Biomedical Engineering 374
- Atomic and Molecular Physics, and Optics 218
- Genetics 176
Countries citing papers authored by Eivind Almaas
This map shows the geographic impact of Eivind Almaas'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 Eivind Almaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eivind Almaas more than expected).
Fields of papers citing papers by Eivind Almaas
This network shows the impact of papers produced by Eivind Almaas. 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 Eivind Almaas. The network helps show where Eivind Almaas may publish in the future.
Co-authorship network of co-authors of Eivind Almaas
This figure shows the co-authorship network connecting the top 25 collaborators of Eivind Almaas. A scholar is included among the top collaborators of Eivind Almaas 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 Eivind Almaas. Eivind Almaas 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 | 6 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 39 | |
| 13 | CoDiNA: an RPackage for Co-expression Differential Network Analysis in n Dimensions | 2 |
| 14 | 59 | |
| 15 | 11 | |
| 16 | 13 | |
| 17 | 8 | |
| 18 | Identify Dynamic Network Modules with Temporal and Spatial Constraints | 4 |
| 19 | 175 | |
| 20 | Global organization of metabolic fluxes | 1 |
About Eivind Almaas
Eivind Almaas is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Modeling and Simulation, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (30 papers), Bioinformatics and Genomic Networks (25 papers) and Gene Regulatory Network Analysis (19 papers). The work is most often cited by research in Statistical and Nonlinear Physics (664 citations), Molecular Biology (1.5k citations) and Computational Theory and Mathematics (174 citations). Eivind Almaas has collaborated with scholars based in Norway, United States and Germany. Frequent co-authors include Albert-Ĺaszló Barabási, Zoltán N. Oltvai, Stefan Wuchty, Tamás Vicsek, Bianka Kovács, D. Stroud, Iver Brevik, Katja Nowick, Rahul Kulkarni and Snorre Sulheim. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.