Osman Taylan

96 papers receiving 3.1k citations

Osman Taylan's Hit Papers

Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis 2021 · 179 citations
1790+4+8Years since publication100200300400

Peers

Osman Taylan
Comparison fields: 5 of 163
  • Statistics, Probability and Uncertainty 423
  • Management Science and Operations Research 547
  • Food Science 450
  • Radiological and Ultrasound Technology 102
  • Nutrition and Dietetics 296
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Countries citing papers authored by Osman Taylan

Since Specialization
Citations

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

Fields of papers citing papers by Osman Taylan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies
Hit paper breakdown →
2014457
2
Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
Hit paper breakdown →
2021179
3 2020123
4 2019105
5 202298
6 201889
7 200987
8 202079
9 202170
10 201670
11 202369
12 201864
13 201662
14 202162
15 201660
16 202054
17 202252
18 201650
19 202148
20 202048

About Osman Taylan

Osman Taylan is a scholar working on Biomedical Engineering, Management Science and Operations Research, Food Science, Mechanics of Materials and Artificial Intelligence, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (13 papers), Polysaccharides and Plant Cell Walls (7 papers), Spectroscopy and Chemometric Analyses (6 papers), Probabilistic and Robust Engineering Design (6 papers), Microbial Metabolites in Food Biotechnology (6 papers), Fuzzy Logic and Control Systems (5 papers), Polysaccharides Composition and Applications (5 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (423 citations), Management Science and Operations Research (547 citations), Food Science (450 citations), Radiological and Ultrasound Technology (102 citations) and Nutrition and Dietetics (296 citations). Osman Taylan has collaborated with scholars based in Saudi Arabia, Türkiye and China. Frequent co-authors include Mustafa Tahsin Yılmaz, Enes Dertli̇, Reda M. S. Abdulaal, Behrooz Keshtegar, Ayhan Demirbaş, Osman Sağdıç, Hümeyra İspirli, Changqi Luo, Xiaopeng Niu and Ehsan Nazemi. Their work appears in journals such as Computers & Industrial Engineering, Applied Soft Computing, International Journal of Biological Macromolecules, Energy Exploration & Exploitation and Foods.

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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