Andreas Persidis

1.1k citations
25 papers · 651 · h-index 12

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 6
    • Bioinformatics and Genomic Networks 6
    • Genetics, Bioinformatics, and Biomedical Research 3
    • Semantic Web and Ontologies 9
    • Cognitive Computing and Networks 2

Andreas Persidis

24 papers receiving 592 citations

Peers

Andreas Persidis
Comparison fields: 5 of 125
  • Computational Theory and Mathematics 161
  • Endocrinology, Diabetes and Metabolism 102
  • Artificial Intelligence 149
  • Molecular Biology 317
  • Toxicology 14
Replace Markus Hinder with:
Markus Hinder Germany
Shiyun Wang China
Kristina Hettne Netherlands
Mei Zhang China
Fathi Elloumi United States
Bengt Hamrén Sweden
Ju Xiang China
Masayuki Takeda Japan
Pei‐Chi Yang United States
Swati Tiwari India
Andreas Persidis relative to Markus Hinder Germany Markus Hinder's profile →
Citations per field
00.5×8.8×
Markus Hinder · 1×
Citations per year

Countries citing papers authored by Andreas Persidis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Persidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Persidis, 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 Andreas Persidis Line = papers co-authored together Andreas Persidis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011163
2 2015106
3 201188
4 200656
5 200542
6 200426
7 199924
8 201123
9 201822
10 199622
11 200317
12 200611
13 200411
14 200410
15 19966
16 19976
17 19915
18 20043
19
Integrated document and knowledge management for the knowledge-based enterprise
20003
20 19932

About Andreas Persidis

Andreas Persidis is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 651 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Biotechnology and Related Fields (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Cognitive Computing and Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (161 citations), Endocrinology, Diabetes and Metabolism (102 citations), Artificial Intelligence (149 citations), Molecular Biology (317 citations) and Toxicology (14 citations). Andreas Persidis has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Spyros Deftereos, Christos Andronis, Aris Persidis, Anuj Sharma, Naomi Gronich, Nicholas M. P. King, Idit Lavi, Gad Rennert, Fabio Rinaldi and Gerold Schneider. Their work appears in journals such as Drug Discovery Today, Nature Biotechnology, Artificial Intelligence in Medicine, Pharmacogenomics and Clinical Science.

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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