Enrico Seiler

677 total citations
7 papers, 90 citations indexed

About

Enrico Seiler is a scholar working on Molecular Biology, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Enrico Seiler has authored 7 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Enrico Seiler's work include Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (3 papers) and Caching and Content Delivery (2 papers). Enrico Seiler is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (3 papers) and Caching and Content Delivery (2 papers). Enrico Seiler collaborates with scholars based in Germany, Brazil and France. Enrico Seiler's co-authors include Bernhard Y. Renard, Knut Reinert, Temesgen Hailemariam Dadi, Vitor C. Piro, Kathrin Trappe, Enrico Siragusa, Svenja Mehringer, René Rahn, Martin Vingron and Thomas Steinke and has published in prestigious journals such as Bioinformatics, Genome biology and PLoS Computational Biology.

In The Last Decade

Enrico Seiler

7 papers receiving 88 citations

Peers

Enrico Seiler
Comparison fields: 5 of 26
  • Molecular Biology 81
  • Ecology 38
  • Artificial Intelligence 23
  • Computer Networks and Communications 9
  • Hardware and Architecture 6
Replace Svenja Mehringer with:
Svenja Mehringer Germany
Ioannis Kirmitzoglou Cyprus
Tai Chen China
Randall Bolanos United States
Camille Scott United States
Laia Codó Spain
J. Marco Spain
Hiruna Samarakoon Australia
Mike Travers United States
Juan Miguel Cejuela Germany
Svenja Mehringer Germany View profile →
Citations per field, relative to Enrico Seiler
Enrico Seiler · 1×
Citations per year, relative to Enrico Seiler
Enrico Seiler · 1×

Countries citing papers authored by Enrico Seiler

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Seiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Seiler

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Seiler. A scholar is included among the top collaborators of Enrico Seiler 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 Enrico Seiler. Enrico Seiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 6
2 3
3 1
4 6
5 40
6 11
7 23

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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