Mohd Tahir Ismail
Mohd Tahir Ismail publishes mostly in Economics and Econometrics, Management Science and Operations Research and Finance, on topics such as Stock Market Forecasting Methods, Market Dynamics and Volatility and Complex Systems and Time Series Analysis.
- World rank
- #5,005,481 of 7,710,434 ranked researchers
- Rank in Malaysia
- #24,753 of 41,196
- Works
- 278
- Citations
- 1.2k
- Citations per work
- 4.3
What does Mohd Tahir Ismail research?
Mohd Tahir Ismail's work is mostly in Economics, Econometrics and Finance (29%), Decision Sciences (14%), Engineering (5%).
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 else13247.6%
- Social Sciences12043.0%
- Economics, Econometrics and Finance8129.0%
- Decision Sciences3914.0%
- Physical Sciences269.4%
- Engineering145.0%
- Computer Science124.4%
- 1Economics and Econometrics18% of their works
- 2Management Science and Operations Research14% of their works
- 3Finance6% of their works
- 4General Economics, Econometrics and Finance5% of their works
- 5Control and Systems Engineering5% of their works
- 6Artificial Intelligence4% of their works
Research topics
Which keywords describe Mohd Tahir Ismail's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Monetary Policy, Stock Market Prediction, Time Series Forecasting, Economic Policy Uncertainty, Oil Price Shocks and Economic Growth.
- Image Denoising
- Forecasting
- Electricity Price Forecasting
- Multifractal Analysis
- Fiscal Policy
- Economic Growth
- Economic Policy Uncertainty
- Stock Market Prediction
- Deep Learning
- Neural Networks
- Monetary Policy
- Time Series Forecasting
- Oil Price Shocks
- Econophysics
- GARCH Models
- Volatility
- Load Forecasting
- Time Series
- Sparse Representations
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.
All 19 words, with their numbers
- Neural Networks1143 topics
- Deep Learning1113 topics
- Monetary Policy872 topics
- Stock Market Prediction721 topic
- Time Series Forecasting721 topic
- Economic Policy Uncertainty531 topic
- Oil Price Shocks531 topic
- Economic Growth341 topic
- Econophysics341 topic
- Fiscal Policy341 topic
- GARCH Models341 topic
- Multifractal Analysis341 topic
- Volatility341 topic
- Electricity Price Forecasting231 topic
- Load Forecasting231 topic
- Forecasting191 topic
- Time Series191 topic
- Image Denoising161 topic
- Sparse Representations161 topic
Where does Mohd Tahir Ismail work?
Mohd Tahir Ismail's main affiliation in the publication record is Universiti Sains Malaysia, Malaysia.
How many publications and citations does Mohd Tahir Ismail have?
OpenAlex counts 278 works and 1,194 citations for Mohd Tahir Ismail, an h-index of 17, ranking #5,005,481 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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
Ask a question or share a note about Mohd Tahir Ismail. Posts are plain text and can be reported.