What is he best known for?
The fields of study Michel Raynal is best known for:
- Gene
- Distributed computing
- DNA
His study explores the link between Stage (stratigraphy) and topics such as Paleontology that cross with problems in Context (archaeology).
His research on Context (archaeology) frequently connects to adjacent areas such as Paleontology.
His study looks at the intersection of Abstraction and topics like Epistemology with Simple (philosophy).
His Simple (philosophy) study typically links adjacent topics like Epistemology.
Gene and Expressed sequence tag are two areas of study in which Michel Raynal engages in interdisciplinary research.
In his articles, Michel Raynal combines various disciplines, including Expressed sequence tag and Genome.
Michel Raynal undertakes interdisciplinary study in the fields of Genome and Agrobacterium through his research.
Michel Raynal performs multidisciplinary studies into Agrobacterium and Callus in his work.
His research on Callus often connects related topics like Genetics.
His most cited work include:
- Highly efficient production and characterization of T-DNA plants for rice (Oryza sativa L.) functional genomics (214 citations)
- Logical time: capturing causality in distributed systems (194 citations)
- The information structure of indulgent consensus (109 citations)
What are the main themes of his work throughout his whole career to date
Michel Raynal conducts interdisciplinary study in the fields of Distributed computing and Algorithm through his works.
He integrates Algorithm and Distributed computing in his studies.
He integrates Pathology and Radiology in his research.
Michel Raynal performs multidisciplinary study in Radiology and Pathology in his work.
In his works, Michel Raynal performs multidisciplinary study on Computer network and Asynchronous communication.
Michel Raynal brings together Asynchronous communication and Computer network to produce work in his papers.
Michel Raynal combines Theoretical computer science and Programming language in his studies.
He merges Programming language with Theoretical computer science in his research.
He combines Artificial intelligence and Multi-agent system in his research.
Michel Raynal most often published in these fields:
- Distributed computing (32.65%)
- Pathology (30.61%)
- Computer network (26.53%)
What were the highlights of his more recent work (between 2014-2021)?
- Geodesy (66.67%)
- Remote sensing (66.67%)
- Oceanography (50.00%)
In recent works Michel Raynal was focusing on the following fields of study:
As part of his studies on Geodesy, Michel Raynal often connects relevant subjects like Sea-surface height.
As part of his studies on Sea-surface height, Michel Raynal often connects relevant subjects like Geodesy.
His Remote sensing study frequently involves adjacent topics like Sea state.
His research on Sea state frequently links to adjacent areas such as Remote sensing.
Michel Raynal frequently studies issues relating to Wind wave and Oceanography.
His research is interdisciplinary, bridging the disciplines of Oceanography and Wind wave.
Michel Raynal performs multidisciplinary study in the fields of Meteorology and Climatology via his papers.
In his research, Michel Raynal performs multidisciplinary study on Climatology and Meteorology.
He integrates many fields in his works, including Altimeter and Sea level.
Between 2014 and 2021, his most popular works were:
- Sentinel‐3A Views Ocean Variability More Accurately at Finer Resolution (20 citations)
- From conventional to Delay Doppler altimetry: A demonstration of continuity and improvements with the Cryosat-2 mission (19 citations)
- Exploiting the Sentinel-3 tandem phase dataset and azimuth oversampling to better characterize the sensitivity of SAR altimeter sea surface height to long ocean waves (14 citations)
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