Ιoannis M. Dokas

49 papers receiving 612 citations

Hit Papers

Safety bounds in human robot interaction: A survey2020202620222024202050100150200

Peers

Ιoannis M. Dokas
Comparison fields: 5 of 110
  • Radiological and Ultrasound Technology 139
  • Statistics, Probability and Uncertainty 124
  • Social Psychology 112
  • Control and Systems Engineering 100
  • Artificial Intelligence 91
Replace Mingyuan Zhang with:
Mingyuan Zhang China
Dayana Bastos Costa Brazil
Milad Memarzadeh United States
Vladislav Kecojević United States
Alberto Giretti Italy
Faridaddin Vahdatikhaki Netherlands
Nipun D. Nath United States
Berardo Naticchia Italy
Yelda Türkan United States
Ιoannis M. Dokas relative to Mingyuan Zhang China Mingyuan Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ιoannis M. Dokas

Since Specialization
Citations

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

Fields of papers citing papers by Ιoannis M. Dokas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ιoannis M. Dokas. 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 Ιoannis M. Dokas. The network helps show where Ιoannis M. Dokas may publish in the future.

Co-authorship network of co-authors of Ιoannis M. Dokas

This figure shows the co-authorship network connecting the top 25 collaborators of Ιoannis M. Dokas. A scholar is included among the top collaborators of Ιoannis M. Dokas 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 Ιoannis M. Dokas. Ιoannis M. Dokas 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
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5 15
6 9
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11 6
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13 18
14 2
15 10
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A Measure of Systems Self-Awareness.
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17 2
18 21
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Fuzzy Fault Tree Representation and Maintenance based on Frames and Constraint Technologies: A Case Study
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20
Developing Web Sites For Web Based Expert Systems: A Web Engineering Approach.
22

About Ιoannis M. Dokas

Ιoannis M. Dokas is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Software, having authored 50 papers that have together received 641 indexed citations. Recurring topics across this work include Risk and Safety Analysis (18 papers), Occupational Health and Safety Research (17 papers) and Human-Automation Interaction and Safety (8 papers). The work is most often cited by research in Radiological and Ultrasound Technology (139 citations), Statistics, Probability and Uncertainty (124 citations) and Medical Laboratory Technology (25 citations). Ιoannis M. Dokas has collaborated with scholars based in Greece, Ireland and United Kingdom. Frequent co-authors include Ioannis Kostavelis, Angeliki Zacharaki, Αντώνιος Γαστεράτος, Maria Mikela Chatzimichailidou, John Feehan, Syed Imran, D.A. Karras, Anastasia Κ. Paschalidou, Neville A. Stanton and S. Karma. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Environmental Research and Public Health.

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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