What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Organic chemistry
- Statistics
Ernesto Estrada mostly deals with Complex network, Centrality, Adjacency matrix, Theoretical computer science and Topology.
His work on Interdependent networks as part of general Complex network study is frequently connected to Interaction network, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Centrality research is multidisciplinary, incorporating perspectives in Computational biology, Adjacency list and Drug discovery.
The study incorporates disciplines such as Matrix exponential, Graph energy, Linear combination and Laplacian matrix in addition to Adjacency matrix.
Ernesto Estrada combines subjects such as Matrix function, Graph theory, Network science, Evolving networks and Bipartite graph with his study of Theoretical computer science.
His Measure research focuses on Combinatorics and how it connects with Folding.
His most cited work include:
- Subgraph centrality in complex networks. (810 citations)
- Communicability in complex networks (442 citations)
- The Structure of Complex Networks: Theory and Applications (380 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Complex network, Combinatorics, Discrete mathematics, Topology and Adjacency matrix.
His work carried out in the field of Complex network brings together such families of science as Centrality, Theoretical computer science, Graph theory, Node and Complex system.
His study explores the link between Centrality and topics such as Network science that cross with problems in Network theory.
His is doing research in Graph, Adjacency list, Line graph, Topological index and Degree, both of which are found in Combinatorics.
His Topology research is multidisciplinary, relying on both Quantitative structure–activity relationship and Laplace operator.
His work deals with themes such as Graph energy, Matrix, Bipartite graph and Matrix function, which intersect with Adjacency matrix.
He most often published in these fields:
- Complex network (26.67%)
- Combinatorics (21.59%)
- Discrete mathematics (18.10%)
What were the highlights of his more recent work (between 2018-2021)?
- Complex network (26.67%)
- Centrality (12.06%)
- Index (3.17%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Complex network, Centrality, Index, Laplace operator and Discrete mathematics.
His Complex network research includes themes of Theoretical computer science, Embedding, Relation, Node and Complex system.
His biological study spans a wide range of topics, including Chemical physics and Interconnection.
His Laplace operator research includes elements of Topology, Extension, Link and Graph.
His Discrete mathematics study combines topics in areas such as Matrix function and Differential equation.
His Beta skeleton study in the realm of Combinatorics connects with subjects such as Lune.
Between 2018 and 2021, his most popular works were:
- COVID-19 and SARS-CoV-2. Modeling the present, looking at the future (48 citations)
- Topological analysis of SARS CoV-2 main protease (22 citations)
- Rethinking structural balance in signed social networks (13 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Organic chemistry
- Statistics
Ernesto Estrada focuses on Complex network, Degree, Index, Coronavirus and Complex system.
With his scientific publications, his incorporates both Complex network and Process.
His work carried out in the field of Degree brings together such families of science as Discrete mathematics, Contrast, Balance, Interpretation and Series.
His study in Index intersects with areas of studies such as Completeness, Mathematical economics, Null, Signed graph and Distrust.
Ernesto Estrada integrates many fields, such as Coronavirus, A protein, Adjacency matrix, Interaction network, Biological system and Upper and lower bounds, in his works.
His Complex system research is multidisciplinary, incorporating perspectives in Theoretical computer science, Embedding, Representation, Cluster analysis and Relational database.
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