What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Computer network
Anthony Rowe focuses on Real-time computing, Asthma, Wireless sensor network, Computer network and Wireless network.
His Real-time computing research incorporates elements of Wireless, Bluetooth, Synchronization, Ranging and Software.
His studies deal with areas such as Computer vision, Artificial intelligence and LED lamp as well as Wireless.
His research integrates issues of Severity of illness and Gene expression profiling in his study of Asthma.
His Wireless sensor network research includes themes of Real-time operating system, Scheduling and Link layer.
His study looks at the relationship between Computer network and fields such as Key distribution in wireless sensor networks, as well as how they intersect with chemical problems.
His most cited work include:
- Clinical and inflammatory characteristics of the European U-BIOPRED adult severe asthma cohort (251 citations)
- Static-Priority Scheduling over Wireless Networks with Multiple Broadcast Domains (250 citations)
- Application of 'omics technologies to biomarker discovery in inflammatory lung diseases. (182 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Real-time computing, Wireless sensor network, Asthma, Immunology and Computer network.
His study in Real-time computing is interdisciplinary in nature, drawing from both Wireless, Ranging, Simulation and Synchronization.
His work focuses on many connections between Wireless sensor network and other disciplines, such as Embedded system, that overlap with his field of interest in Energy consumption.
His Asthma study incorporates themes from Allergy, Transcriptome and Cohort.
In the subject of general Immunology, his work in Inflammasome and Neutrophilia is often linked to Exhaled nitric oxide, thereby combining diverse domains of study.
His Computer network research includes elements of Wireless network and Scalability.
He most often published in these fields:
- Real-time computing (24.86%)
- Wireless sensor network (17.13%)
- Asthma (15.47%)
What were the highlights of his more recent work (between 2017-2021)?
- Real-time computing (24.86%)
- Internal medicine (9.39%)
- Immunology (12.71%)
In recent papers he was focusing on the following fields of study:
Real-time computing, Internal medicine, Immunology, Asthma and Cloud computing are his primary areas of study.
His Real-time computing research is multidisciplinary, incorporating elements of Network packet, Ranging, Bandwidth, Base station and Multipath propagation.
His study in the fields of Disease, Cohort and Interstitial lung disease under the domain of Internal medicine overlaps with other disciplines such as Descriptive statistics.
Asthma is closely attributed to Transcriptome in his work.
The study incorporates disciplines such as Wireless, LPWAN, Physical layer and Computer network in addition to Cloud computing.
In his work, Software deployment is strongly intertwined with Scalability, which is a subfield of Computer network.
Between 2017 and 2021, his most popular works were:
- Charm: exploiting geographical diversity through coherent combining in low-power wide-area networks (43 citations)
- Stratification of asthma phenotypes by airway proteomic signatures (24 citations)
- A computational framework for complex disease stratification from multiple large-scale datasets. (16 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer network
His scientific interests lie mostly in Big data, Eosinophil, Proteome, Proteomics and Computational biology.
His Big data research incorporates themes from Cooperative behavior and MEDLINE.
His work carried out in the field of Eosinophil brings together such families of science as Mast cell, Inflammation and Transcription factor.
The various areas that Anthony Rowe examines in his Proteome study include Respiratory disease and Lung.
His Proteomics study combines topics from a wide range of disciplines, such as Microarray analysis techniques, Transcriptome, Asthma and Allergy.
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