Anastasios G. Papadiamantis

32 papers receiving 669 citations

Anastasios G. Papadiamantis's Hit Papers

Advances in De Novo Drug Design: From Conventional to Machine Learning Methods 2021 · 217 citations
2170+1+3Years since publication50100150200

Peers

Anastasios G. Papadiamantis
Comparison fields: 5 of 101
  • Computational Theory and Mathematics 236
  • Pollution 79
  • Biophysics 37
  • Materials Chemistry 297
  • Health Informatics 8
Replace Sonia Arrasate with:
Sonia Arrasate Spain
Georgia Tsiliki Greece
Romi Singh Maharjan Germany
Linlin Zhao United States
Tung X. Trinh South Korea
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Jinglin Yang China
Stanislav Mazurenko Czechia
Andreas Tsoumanis Greece
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Countries citing papers authored by Anastasios G. Papadiamantis

Since Specialization
Citations

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

Fields of papers citing papers by Anastasios G. Papadiamantis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anastasios G. Papadiamantis. 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 Anastasios G. Papadiamantis. The network helps show where Anastasios G. Papadiamantis may publish in the future.

Co-authors

The 25 scholars most cited alongside Anastasios G. Papadiamantis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anastasios G. Papadiamantis Line = papers co-authored together Anastasios G. Papadiamantis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
Hit paper breakdown →
2021217
2 202049
3 201047
4 202042
5 202042
6 202234
7 202130
8 202025
9 202120
10 202020
11 202118
12 202418
13 202317
14 202015
15 202212
16 202210
17 202210
18 20248
19 20217
20 20237

About Anastasios G. Papadiamantis

Anastasios G. Papadiamantis is a scholar working on Materials Chemistry, Pollution, Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Biomedical Engineering, having authored 34 papers that have together received 685 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (13 papers), Computational Drug Discovery Methods (7 papers), Heavy metals in environment (4 papers), Cell Image Analysis Techniques (4 papers), Graphene and Nanomaterials Applications (4 papers), Research Data Management Practices (4 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Computational Theory and Mathematics (236 citations), Pollution (79 citations), Biophysics (37 citations), Materials Chemistry (297 citations) and Health Informatics (8 citations). Anastasios G. Papadiamantis has collaborated with scholars based in United Kingdom, Greece and Netherlands. Frequent co-authors include Iseult Lynch, Antreas Afantitis, Georgia Melagraki, Dario Greco, Angela Serra, Vassilis Aidinis, Varnavas D. Mouchlis, Michele Fratello, Andreas Tsoumanis and Eugenia Valsami‐Jones. Their work appears in journals such as The Science of The Total Environment, Computational and Structural Biotechnology Journal, Nanomaterials, International Journal of Molecular Sciences and Journal of Hazardous Materials.

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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