Takeichiro Nishikawa
Takeichiro Nishikawa publishes mostly in Artificial Intelligence, Statistics and Probability and Industrial and Manufacturing Engineering, on topics such as Anomaly Detection Techniques and Applications, Time Series Analysis and Forecasting and Bayesian Methods and Mixture Models.
- World rank
- #5,246,127 of 7,710,434 ranked researchers
- Rank in Japan
- #171,438 of 383,136
- Works
- 16
- Citations
- 93
- Citations per work
- 5.8
What does Takeichiro Nishikawa research?
Takeichiro Nishikawa's work is mostly in Computer Science (34%), Engineering (15%), Mathematics (10%).
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
- Physical Sciences958.7%
- Computer Science534.2%
- Engineering214.7%
- Mathematics29.8%
- Everything else531.5%
- Social Sciences29.8%
- Decision Sciences29.8%
- 1Artificial Intelligence24% of their works
- 2Statistics and Probability10% of their works
- 3Industrial and Manufacturing Engineering10% of their works
- 4Management Science and Operations Research10% of their works
- 5Signal Processing10% of their works
- 6Electrical and Electronic Engineering5% of their works
Research topics
- Anomaly Detection Techniques and Applications
- Time Series Analysis and Forecasting
- Bayesian Methods and Mixture Models
- VLSI and FPGA Design Techniques
- Industrial Vision Systems and Defect Detection
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Simulation Techniques and Applications
Which keywords describe Takeichiro Nishikawa's research?
The keywords of their largest research topics: Deep Learning, Time Series, High-Dimensional Data, Clustering, Anomaly Detection, Unsupervised, Dynamic Time Warping and Feature Extraction.
- Verification and Validation
- Simulation Optimization
- Multiple Imputation
- Machine Vision
- FPGA
- Bayesian Inference
- Feature Extraction
- Unsupervised
- Clustering
- Time Series
- Deep Learning
- High-Dimensional Data
- Anomaly Detection
- Dynamic Time Warping
- ASIC
- Bayesian Modeling
- Fabric Defect Detection
- Mixture Models
- Regularization
- Variable Selection
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 20 words, with their numbers
- Deep Learning113 topics
- Time Series92 topics
- High-Dimensional Data72 topics
- Clustering62 topics
- Anomaly Detection51 topic
- Unsupervised51 topic
- Dynamic Time Warping41 topic
- Feature Extraction41 topic
- ASIC21 topic
- Bayesian Inference21 topic
- Bayesian Modeling21 topic
- FPGA21 topic
- Fabric Defect Detection21 topic
- Machine Vision21 topic
- Mixture Models21 topic
- Multiple Imputation21 topic
- Regularization21 topic
- Simulation Optimization21 topic
- Variable Selection21 topic
- Verification and Validation21 topic
Where does Takeichiro Nishikawa work?
Takeichiro Nishikawa's main affiliation in the publication record is Toshiba (Japan), Japan.
How many publications and citations does Takeichiro Nishikawa have?
OpenAlex counts 16 works and 93 citations for Takeichiro Nishikawa, an h-index of 3, ranking #5,246,127 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 Takeichiro Nishikawa. Posts are plain text and can be reported.