George Androulakis

935 citations
52 papers · 534 indexed · h-index 10
Topics
Scientific Computing and Data Management (6 papers)Advanced Optimization Algorithms Research (6 papers)Neural Networks and Applications (5 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

George Androulakis

46 papers receiving 499 citations

Peers

George Androulakis
Comparison fields: 5 of 109
  • Artificial Intelligence 259
  • Numerical Analysis 103
  • Computer Vision and Pattern Recognition 73
  • Control and Systems Engineering 68
  • Computational Theory and Mathematics 61
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Countries citing papers authored by George Androulakis

Since Specialization
Citations

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

Fields of papers citing papers by George Androulakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Androulakis

This figure shows the co-authorship network connecting the top 25 collaborators of George Androulakis. A scholar is included among the top collaborators of George Androulakis 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 George Androulakis. George Androulakis 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 0
2 6
3 1
4 1
5
Designing an International Distance Postgraduate Programme for Language Educators as a Critical Reaction to the Needs of Refugees and Migrants.
1
6 0
7 1
8 17
9 2
10 7
11 2
12 4
13 18
14 1
15 3
16 97
17 113
18
Studying the performance of optimization methods by visualization
3
19 16
20 30

About George Androulakis

George Androulakis is a scholar working on Numerical Analysis, Information Systems and Management and Linguistics and Language, having authored 52 papers that have together received 534 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Advanced Optimization Algorithms Research (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Numerical Analysis (103 citations), Artificial Intelligence (259 citations) and Computational Theory and Mathematics (61 citations). George Androulakis has collaborated with scholars based in Greece, Australia and United Kingdom. Frequent co-authors include Michael N. Vrahatis, George D. Magoulas, Ashley M. Buckle, Stephen Bottomley, Abel L. Robertson, Maria Spichkova, Heinz Schmidt, Daniel W. Drumm, David Aragão and Sheena McGowan. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

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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