What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Algorithm
His scientific interests lie mostly in Information retrieval, Visual field, Relevance, Ranking and Search engine.
His study in the fields of Document retrieval under the domain of Information retrieval overlaps with other disciplines such as Scheme and Recall.
His studies deal with areas such as Optic disk and Optic nerve as well as Visual field.
The study incorporates disciplines such as Test, Learning to rank, Magnitude and Crowdsourcing in addition to Relevance.
His Search engine study incorporates themes from Query language and Query expansion.
In general Ophthalmology, his work in Eye disease, Visual acuity and Vision test is often linked to Protocol linking many areas of study.
His most cited work include:
- A computerized method of visual acuity testing: Adaptation of the Early Treatment of Diabetic Retinopathy Study testing protocol (399 citations)
- User performance versus precision measures for simple search tasks (304 citations)
- A taxonomy of suffix array construction algorithms (254 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Visual field, Information retrieval, Artificial intelligence, Glaucoma and Algorithm.
His work in the fields of Visual field, such as Visual field test, overlaps with other areas such as Zest.
In general Information retrieval study, his work on Relevance, Search engine and Query expansion often relates to the realm of Task, thereby connecting several areas of interest.
The various areas that Andrew Turpin examines in his Artificial intelligence study include Machine learning, Pattern recognition, Computer vision and Natural language processing.
His Glaucoma research incorporates elements of Optometry, Intraocular pressure and Optical coherence tomography.
In the subject of general Algorithm, his work in Prefix code, Data compression and Variable-length code is often linked to Compressed suffix array and Suffix array, thereby combining diverse domains of study.
He most often published in these fields:
- Visual field (28.21%)
- Information retrieval (20.94%)
- Artificial intelligence (18.38%)
What were the highlights of his more recent work (between 2015-2021)?
- Visual field (28.21%)
- Glaucoma (17.95%)
- Ophthalmology (10.68%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Visual field, Glaucoma, Ophthalmology, Artificial intelligence and Optic nerve.
His work on Visual field test as part of his general Visual field study is frequently connected to Zest, thereby bridging the divide between different branches of science.
His Optic disk study in the realm of Glaucoma interacts with subjects such as Raphe.
His work on Optic disc and Automated perimetry as part of general Ophthalmology research is frequently linked to Healthy volunteers, bridging the gap between disciplines.
Andrew Turpin has included themes like Natural language processing, Computer vision and Pattern recognition in his Artificial intelligence study.
His Optic nerve research focuses on Displacement and how it connects with Corneal hysteresis.
Between 2015 and 2021, his most popular works were:
- On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation (65 citations)
- Automatic Identification of Pathology-Distorted Retinal Layer Boundaries Using SD-OCT Imaging (17 citations)
- Daily vision testing can expose the prodromal phase of migraine. (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Algorithm
His main research concerns Visual field, Glaucoma, Optical coherence tomography, Optic disk and Ophthalmology.
His biological study spans a wide range of topics, including Nerve fiber layer, Data mining and Blind spot, Artificial intelligence.
His Data mining research includes elements of Optometry and Automated perimetry.
The concepts of his Blind spot study are interwoven with issues in Algorithm and Wilcoxon signed-rank test.
His research in the fields of Document similarity overlaps with other disciplines such as Zest.
His Glaucoma study integrates concerns from other disciplines, such as Fovea centralis and Fundus.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
