D-Index & Metrics

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 D-index 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. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 32 Citations 4,671 97 World Ranking 7132 National Ranking 323

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecosystem
  • Artificial intelligence
  • Statistics

Txomin Hermosilla mainly investigates Remote sensing, Land cover, Thematic Mapper, Satellite imagery and Context. His study in Remote sensing is interdisciplinary in nature, drawing from both Pixel and Vegetation. Land cover is closely attributed to Data science in his work.

His work carried out in the field of Thematic Mapper brings together such families of science as Random forest and Composite material. In his research on the topic of Random forest, Feature extraction is strongly related with Lidar. His work deals with themes such as Ecosystem and Land use, which intersect with Satellite imagery.

His most cited work include:

  • Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science (189 citations)
  • Current status of Landsat program, science, and applications (184 citations)
  • Current status of Landsat program, science, and applications (184 citations)

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

His primary scientific interests are in Remote sensing, Land cover, Lidar, Physical geography and Vegetation. His Remote sensing research is multidisciplinary, incorporating elements of Pixel and Random forest. His Land cover research is multidisciplinary, relying on both Remote sensing, Cartography and Contextual image classification.

The study incorporates disciplines such as Basal area, Biomass, Canopy, Mean squared error and Digital elevation model in addition to Lidar. His research integrates issues of Taiga and Ecosystem, Disturbance in his study of Physical geography. In his work, Mediterranean climate is strongly intertwined with Shrub, which is a subfield of Vegetation.

He most often published in these fields:

  • Remote sensing (50.98%)
  • Land cover (27.45%)
  • Lidar (25.49%)

What were the highlights of his more recent work (between 2017-2021)?

  • Remote sensing (50.98%)
  • Land cover (27.45%)
  • Physical geography (21.57%)

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

Txomin Hermosilla mostly deals with Remote sensing, Land cover, Physical geography, Satellite imagery and Ecosystem. In his research, he undertakes multidisciplinary study on Remote sensing and Context. His Land cover research focuses on subjects like Remote sensing, which are linked to Aboveground biomass, Biomass and Biodiversity.

His Physical geography study combines topics in areas such as Vegetation phenology and Disturbance. His Satellite imagery research integrates issues from Land use, Biomass, Agriculture, Canopy and Temporal scales. His work on Tundra is typically connected to Disturbance as part of general Ecosystem study, connecting several disciplines of science.

Between 2017 and 2021, his most popular works were:

  • Current status of Landsat program, science, and applications (184 citations)
  • Current status of Landsat program, science, and applications (184 citations)
  • Land cover 2.0 (108 citations)

In his most recent research, the most cited papers focused on:

  • Ecosystem
  • Artificial intelligence
  • Statistics

His scientific interests lie mostly in Remote sensing, Land cover, Physical geography, Ecosystem and Satellite imagery. Txomin Hermosilla performs integrative Remote sensing and Context research in his work. His studies link Climate change mitigation with Land cover.

His Physical geography study incorporates themes from Boreal, Disturbance, Ecozone, Wetland and Taiga. His research investigates the connection between Taiga and topics such as Hydrology that intersect with problems in Vegetation. His work in Satellite imagery covers topics such as Remote sensing which are related to areas like Regeneration.

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.

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