Alperen Sayar
Alperen Sayar publishes mostly in Artificial Intelligence, Management Science and Operations Research and Accounting, on topics such as Stock Market Forecasting Methods, Financial Distress and Bankruptcy Prediction and Imbalanced Data Classification Techniques.
- World rank
- #7,155,227 of 7,710,434 ranked researchers
- Rank in Türkiye
- #97,461 of 117,622
- Works
- 39
- Citations
- 31
- Citations per work
- 0.8
What does Alperen Sayar research?
Alperen Sayar's work is mostly in Computer Science (32%), Business, Management and Accounting (18%), Decision Sciences (15%).
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
- Everything else1435.0%
- Physical Sciences1332.5%
- Computer Science1332.5%
- Social Sciences1332.5%
- 1Artificial Intelligence15% of their works
- 2Management Science and Operations Research15% of their works
- 3Accounting10% of their works
- 4Information Systems10% of their works
- 5Computer Networks and Communications8% of their works
- 6Marketing8% of their works
Research topics
Which keywords describe Alperen Sayar's research?
The keywords of their largest research topics: Support Vector Machines, Machine Learning, Neural Networks, Deep Learning, Data Mining, Stock Market Prediction, Time Series Forecasting and Bankruptcy Prediction.
- Network Security
- Frequent Patterns
- Dimensionality Reduction
- Cybercrime
- Imbalanced Data
- Classification
- Ensemble Methods
- Bankruptcy Prediction
- Stock Market Prediction
- Deep Learning
- Machine Learning
- Support Vector Machines
- Neural Networks
- Data Mining
- Time Series Forecasting
- Credit Scoring
- Churn Prediction
- Customer Equity
- Association Rules
- Dark Web
- Face Recognition
- Intrusion Detection
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 22 words, with their numbers
- Support Vector Machines133 topics
- Machine Learning124 topics
- Neural Networks112 topics
- Deep Learning82 topics
- Data Mining73 topics
- Stock Market Prediction61 topic
- Time Series Forecasting61 topic
- Bankruptcy Prediction51 topic
- Credit Scoring51 topic
- Ensemble Methods52 topics
- Churn Prediction31 topic
- Classification31 topic
- Customer Equity31 topic
- Imbalanced Data31 topic
- Association Rules21 topic
- Cybercrime21 topic
- Dark Web21 topic
- Dimensionality Reduction21 topic
- Face Recognition21 topic
- Frequent Patterns21 topic
- Intrusion Detection21 topic
- Network Security21 topic
Where does Alperen Sayar work?
Alperen Sayar's main affiliation in the publication record is MEF University, Türkiye.
How many publications and citations does Alperen Sayar have?
OpenAlex counts 39 works and 31 citations for Alperen Sayar, an h-index of 3, ranking #7,155,227 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.
Discussion
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