D-Index & Metrics Best Publications

Siegfried Schaible

University of California, Riverside
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Mathematics D-index 34 Citations 4,923 84 World Ranking 2052 National Ranking 876

Overview

What is he best known for?

The fields of study Siegfried Schaible is best known for:

Vector space
Lp space
Synchrotron

Siegfried Schaible conducts interdisciplinary study in the fields of Variational inequality and Vector space through his works. Siegfried Schaible applies his multidisciplinary studies on Vector space and Variational inequality in his research. His Theory of computation study frequently involves adjacent topics like Programming language. His studies link Theory of computation with Programming language. His work often combines Algorithm and Iterative method studies. Siegfried Schaible performs multidisciplinary study in the fields of Iterative method and Algorithm via his papers. Many of his studies on Mathematical optimization apply to Maximization as well. Maximization is closely attributed to Mathematical optimization in his work. With his scientific publications, his incorporates both Quantum mechanics and Applied mathematics.

His most cited work include:

Vector Equilibrium Problems with Generalized Monotone Bifunctions (205 citations)
Quasimonotone variational inequalities in Banach spaces (112 citations)
Iterative Algorithm for Generalized Set-Valued Strongly Nonlinear Mixed Variational-Like Inequalities (111 citations)

What are the main themes of his work throughout his whole career to date

His work on Composite material as part of general Polymer research is often related to Layer (electronics), thus linking different fields of science. Many of his studies on Composite material apply to Polymer and Layer (electronics) as well. Theory of computation is closely attributed to Programming language in his research. Many of his studies on Programming language apply to Theory of computation as well. His work blends Algorithm and Iterative method studies together. Siegfried Schaible combines Iterative method and Algorithm in his research. Siegfried Schaible frequently studies issues relating to Variational inequality and Applied mathematics. Variational inequality is closely attributed to Applied mathematics in his study. His Pure mathematics study frequently links to related topics such as Hausdorff space.

Siegfried Schaible most often published in these fields:

Theory of computation (48.00%)
Algorithm (48.00%)
Applied mathematics (48.00%)

What were the highlights of his more recent work (between 2009-2017)?

Polymer (33.33%)
Composite material (33.33%)
Thermoplastic (33.33%)

In recent works Siegfried Schaible was focusing on the following fields of study:

Siegfried Schaible brings together Polymer and Adhesion to produce work in his papers. Siegfried Schaible integrates many fields, such as Adhesion and Adhesive, in his works. His Rheology research extends to the thematically linked field of Composite material. His Composite material research extends to the thematically linked field of Rheology. Thermoplastic and Polymer are two areas of study in which he engages in interdisciplinary research. With his scientific publications, his incorporates both Wetting and Melting point. He applies his multidisciplinary studies on Melting point and Wetting in his research. Layer (electronics) is often connected to Adhesive in his work. Vector (molecular biology) is closely attributed to Biochemistry in his research.

Between 2009 and 2017, his most popular works were:

Pink-beam serial crystallography (88 citations)
EXISTENCE OF SOLUTIONS OF STRONG VECTOR EQUILIBRIUM PROBLEMS (14 citations)
Basic Study on the Evaluation of Thermoplastic Polymers as Hot-Melt Adhesives for Mixed-Substrate Joining (5 citations)

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