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Researcher · MEF University · Türkiye

Seyit Ertuğrul

Seyit Ertuğrul publishes mostly in Management Science and Operations Research, Artificial Intelligence and Accounting, on topics such as Stock Market Forecasting Methods, Financial Distress and Bankruptcy Prediction and Customer churn and segmentation.

ORCID 0000-0003-0828-7336 OpenAlex
World rank
#6,995,806
of 7,710,434 ranked researchers
Rank in Türkiye
#92,798
of 117,622
Works
41
Citations
22
Citations per work
0.5
h-index
3
i10-index 0Top 95% in Management Science and Operations Research
Seyit Ertuğrul

What does Seyit Ertuğrul research?

Seyit Ertuğrul's work is mostly in Computer Science (31%), Business, Management and Accounting (21%), Decision Sciences (19%).

Social Sciences: 16 works · 40.1% of their workBusiness, Management and Accounting: 9 works · 21.3% of their workAccounting: 5 works · 11.3% of their workMarketing: 4 works · 10.0% of their workDecision Sciences: 8 works · 18.8% of their workManagement Science and Operations Research: 8 works · 18.8% of their workPhysical Sciences: 13 works · 31.3% of their workComputer Science: 13 works · 31.3% of their workArtificial Intelligence: 6 works · 13.8% of their workInformation Systems: 4 works · 10.0% of their workComputer Networks and Communications: 3 works · 7.5% of their workEverything else: 12 works · 28.6% of their workTHEIR WORKSeyit Ertuğrul41works
Physical Sciences31%Social Sciences40%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Business, Management and Accounting921.3%
    2. Decision Sciences818.8%
    1. Computer Science1331.3%
  3. Everything else1228.6%
  1. 1Management Science and Operations Research19% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Accounting11% of their works
  4. 4Marketing10% of their works
  5. 5Information Systems10% of their works
  6. 6Computer Networks and Communications8% of their works

Research topics

Which keywords describe Seyit Ertuğrul's research?

The keywords of their largest research topics: Machine Learning, Neural Networks, Support Vector Machines, Data Mining, Deep Learning, Stock Market Prediction, Time Series Forecasting and Bankruptcy Prediction.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Machine Learning134 topics
  2. Neural Networks112 topics
  3. Support Vector Machines112 topics
  4. Data Mining83 topics
  5. Deep Learning82 topics
  6. Stock Market Prediction61 topic
  7. Time Series Forecasting61 topic
  8. Bankruptcy Prediction51 topic
  9. Credit Scoring51 topic
  10. Churn Prediction41 topic
  11. Customer Equity41 topic
  12. Classification31 topic
  13. Customer Experience31 topic
  14. Financial Literacy31 topic
  15. Imbalanced Data31 topic
  16. Multichannel Retailing31 topic
  17. Retirement Planning31 topic
  18. Association Rules21 topic
  19. Frequent Patterns21 topic
  20. Intrusion Detection21 topic
  21. Network Security21 topic

Where does Seyit Ertuğrul work?

Seyit Ertuğrul's main affiliation in the publication record is MEF University, Türkiye.

How many publications and citations does Seyit Ertuğrul have?

OpenAlex counts 41 works and 22 citations for Seyit Ertuğrul, an h-index of 3, ranking #6,995,806 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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