Alexios Koutsoukas

1.3k citations
26 papers · 906 indexed · h-index 13
Topics
Computational Drug Discovery Methods (25 papers)Machine Learning in Materials Science (7 papers)Microbial Natural Products and Biosynthesis (6 papers)

In The Last Decade

Alexios Koutsoukas

25 papers receiving 888 citations

Peers

Alexios Koutsoukas
Comparison fields: 5 of 125
  • Computational Theory and Mathematics 564
  • Molecular Biology 487
  • Materials Chemistry 225
  • Pharmacology 115
  • Pharmacology 71
Replace Eloy Félix with:
Eloy Félix United Kingdom
Florian Nigsch Switzerland
Floriane Montanari Austria
Edgar Luttmann Germany
Wen Torng United States
Valery Tkachenko United States
Youjun Xu China
Jonathan Alvarsson Sweden
Michael Baitaluk United States
Alexios Koutsoukas relative to Eloy Félix United Kingdom Eloy Félix's profile →
Citations per field
00.5×20×40×60×76×
Eloy Félix · 1×
Citations per year

Countries citing papers authored by Alexios Koutsoukas

Since Specialization
Citations

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

Fields of papers citing papers by Alexios Koutsoukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexios Koutsoukas

This figure shows the co-authorship network connecting the top 25 collaborators of Alexios Koutsoukas. A scholar is included among the top collaborators of Alexios Koutsoukas 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 Alexios Koutsoukas. Alexios Koutsoukas 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 5
2 17
3 27
4 29
5 9
6 231
7 21
8 9
9 6
10 0
11 6
12 2
13 12
14 3
15 2
16 65
17 24
18 2
19 7
20 204

About Alexios Koutsoukas

Alexios Koutsoukas is a scholar working on Computational Theory and Mathematics, Pharmacology and Biophysics, having authored 26 papers that have together received 906 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Machine Learning in Materials Science (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). The work is most often cited by research in Computational Theory and Mathematics (564 citations), Pharmacology (71 citations) and Biophysics (45 citations). Alexios Koutsoukas has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Jun Huan, Xiaoli Li, Robert C. Glen, Andreas Bender, C. David Sherrill, Johannes Kirchmair, Daniel L. Cheney, Robert Lowe, Malcolm P. Young and Alan V. Whitmore. Their work appears in journals such as The Journal of Chemical Physics, Chemical Science and Current Pharmaceutical Design.

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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