D-Index & Metrics Best Publications

Martin Pumera

Brno University of Technology
Czech Republic

Materials Science

2023

Chemistry

2023

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

Materials Science D-index 100 Citations 46,562 786 World Ranking 546 National Ranking 2

Chemistry D-index 100 Citations 46,389 778 World Ranking 691 National Ranking 4

Research.com Recognitions

Awards & Achievements

2023 - Research.com Materials Science in Czech Republic Leader Award

2023 - Research.com Chemistry in Czech Republic Leader Award

2022 - Research.com Materials Science in Czech Republic Leader Award

2022 - Research.com Chemistry in Czech Republic Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

Organic chemistry
Nanotechnology
Catalysis

Martin Pumera mainly investigates Nanotechnology, Graphene, Electrochemistry, Inorganic chemistry and Carbon nanotube. Martin Pumera has researched Nanotechnology in several fields, including Catalysis and Electrode. His Graphene study incorporates themes from Graphite and Oxide.

The study incorporates disciplines such as Metal, Transition metal and Electron transfer in addition to Electrochemistry. His work in the fields of Permanganate overlaps with other areas such as Ascorbic acid. His research integrates issues of Nanoparticle and Carbon in his study of Carbon nanotube.

His most cited work include:

Chemical reduction of graphene oxide: a synthetic chemistry viewpoint (1030 citations)
Graphene-based nanomaterials for energy storage (927 citations)
Graphene for electrochemical sensing and biosensing (869 citations)

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

Martin Pumera spends much of his time researching Nanotechnology, Graphene, Electrochemistry, Inorganic chemistry and Chemical engineering. His biological study spans a wide range of topics, including Carbon and 3D printing. His study in Graphene is interdisciplinary in nature, drawing from both Graphite and Oxide.

His Electrochemistry study also includes

Catalysis, which have a strong connection to Electrocatalyst,
Carbon nanotube that connect with fields like Impurity. His Inorganic chemistry research incorporates elements of Doping, Voltammetry, Metal, X-ray photoelectron spectroscopy and Cyclic voltammetry. His Hydrogen evolution research extends to Chemical engineering, which is thematically connected.

He most often published in these fields:

Nanotechnology (65.79%)
Graphene (48.79%)
Electrochemistry (44.37%)

What were the highlights of his more recent work (between 2018-2021)?

Nanotechnology (65.79%)
Electrochemistry (44.37%)
Chemical engineering (31.29%)

In recent papers he was focusing on the following fields of study:

Martin Pumera mostly deals with Nanotechnology, Electrochemistry, Chemical engineering, Graphene and Electrode. Picric acid is closely connected to Explosive material in his research, which is encompassed under the umbrella topic of Nanotechnology. The concepts of his Electrochemistry study are interwoven with issues in Graphite, Redox, Transition metal and Electron transfer.

His Chemical engineering study which covers Catalysis that intersects with Electrocatalyst, Carbon and Nano-. His Graphene study integrates concerns from other disciplines, such as Oxide, Doping, Surface modification, Impurity and Combinatorial chemistry. His studies in Electrode integrate themes in fields like Optoelectronics, 3D printing, Polylactic acid and Atomic layer deposition.

Between 2018 and 2021, his most popular works were:

Layered and two dimensional metal oxides for electrochemical energy conversion (124 citations)
3D Printing for Electrochemical Energy Applications. (52 citations)
Ultrapure Graphene Is a Poor Electrocatalyst: Definitive Proof of the Key Role of Metallic Impurities in Graphene Based Electrocatalysis (51 citations)

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.