D-Index & Metrics Best Publications

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 44 Citations 6,756 284 World Ranking 3260 National Ranking 223

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Ecosystem
  • Meteorology

His primary scientific interests are in Remote sensing, Ecology, Meteorology, Climatology and Ecosystem services. His work focuses on many connections between Remote sensing and other disciplines, such as Moderate-resolution imaging spectroradiometer, that overlap with his field of interest in Radiative transfer. His Meteorology study integrates concerns from other disciplines, such as Cloud top and Daytime.

His studies deal with areas such as Noon, Coastal plain, Cloud cover and Liquid water path, Precipitation as well as Climatology. The study incorporates disciplines such as Mountain breeze and valley breeze, Weather radar, Katabatic wind and Mesoscale meteorology in addition to Precipitation. Jörg Bendix has included themes like Afforestation, Forest ecology and Agricultural land in his Ecosystem services study.

His most cited work include:

  • Fog Research: A Review of Past Achievements and Future Perspectives (360 citations)
  • Gradients in a Tropical Mountain Ecosystem of Ecuador (244 citations)
  • A novel approach to fog/low stratus detection using Meteosat 8 data (95 citations)

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

Jörg Bendix mainly focuses on Remote sensing, Meteorology, Precipitation, Climatology and Ecology. His research investigates the link between Remote sensing and topics such as Vegetation that cross with problems in Biomass. His Meteorology study combines topics from a wide range of disciplines, such as Daytime, Liquid water content and Geostationary orbit.

In his study, Katabatic wind is inextricably linked to Mesoscale meteorology, which falls within the broad field of Precipitation. His Ecology study focuses mostly on Species richness, Rainforest, Ecosystem, Biodiversity and Epiphyte. His study looks at the relationship between Ecosystem and topics such as Land use, which overlap with Climate change.

He most often published in these fields:

  • Remote sensing (32.41%)
  • Meteorology (28.06%)
  • Precipitation (19.76%)

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

  • Remote sensing (32.41%)
  • Precipitation (19.76%)
  • Climatology (15.81%)

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

The scientist’s investigation covers issues in Remote sensing, Precipitation, Climatology, Atmospheric sciences and Random forest. His Remote sensing research is multidisciplinary, relying on both Image resolution and Vegetation. His Precipitation study combines topics in areas such as Wet season, Soil water, Temporal resolution, Mediterranean climate and Plateau.

His research in the fields of Diurnal cycle overlaps with other disciplines such as Event. Jörg Bendix has researched Random forest in several fields, including Steppe, Meteorology and Dirt. His research in Meteorology intersects with topics in X band and Laser.

Between 2018 and 2021, his most popular works were:

  • Hyperspectral Data Analysis in R: The hsdar Package (20 citations)
  • The breathing of the Andean highlands: Net ecosystem exchange and evapotranspiration over the páramo of southern Ecuador (19 citations)
  • AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV) (16 citations)

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

  • Ecology
  • Ecosystem
  • Meteorology

Remote sensing, Vegetation, Precipitation, Temporal resolution and Ecosystem services are his primary areas of study. His Multispectral image study in the realm of Remote sensing connects with subjects such as Solar surface. His Vegetation research is multidisciplinary, relying on both Moisture, Liquid water path and Scale.

His Precipitation research incorporates elements of Soil water, Climate change and Pinus pinaster. His Temporal resolution study combines topics from a wide range of disciplines, such as Climatology, Precipitation types, Nocturnal, Daytime and Tropical andes. Jörg Bendix interconnects Deforestation, Cryptogam, Biogeochemical cycle, Algae and Erosion in the investigation of issues within Ecosystem services.

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.

Best Publications

Fog Research: A Review of Past Achievements and Future Perspectives

I. Gultepe;R. Tardif;S. C. Michaelides;J. Cermak.
Pure and Applied Geophysics (2007)

647 Citations

Gradients in a Tropical Mountain Ecosystem of Ecuador

Erwin Beck;Jörg Bendix;Ingrid Kottke;Franz Makeschin.
(2008)

251 Citations

Gradients in a Tropical Mountain Ecosystem — a Synthesis

E. Beck;I. Kottke;J. Bendix;F. Makeschin.
(2008)

174 Citations

Seasonality of weather and tree phenology in a tropical evergreen mountain rain forest

J. Bendix;J. Homeier;E. Cueva Ortiz;P. Emck.
International Journal of Biometeorology (2006)

172 Citations

A satellite-based climatology of fog and low-level stratus in Germany and adjacent areas

Jörg Bendix.
Atmospheric Research (2002)

164 Citations

A novel approach to fog/low stratus detection using Meteosat 8 data

Jan Cermak;Jörg Bendix.
Atmospheric Research (2008)

155 Citations

The Ecosystem (Reserva Biológica San Francisco)

E. Beck;F. Makeschin;F. Haubrich;M. Richter.
(2008)

130 Citations

The user's view on biodiversity data sharing — Investigating facts of acceptance and requirements to realize a sustainable use of research data —

Neela Enke;Anne E. Thessen;Kerstin Bach;Jörg Bendix.
Ecological Informatics (2012)

127 Citations

Rainfall distribution in the Andes of southern Ecuador derived from blending weather radar data and meteorological field observations

Rütger Rollenbeck;Jörg Bendix.
Atmospheric Research (2011)

126 Citations

Afforestation or intense pasturing improve the ecological and economic value of abandoned tropical farmlands

Thomas Knoke;Jörg Bendix;Perdita Pohle;Ute Hamer.
Nature Communications (2014)

112 Citations

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