D-Index & Metrics Best Publications
Research.com 2022 Rising Star of Science Award Badge

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 38 Citations 7,634 113 World Ranking 3637 National Ranking 248
Rising Stars D-index 41 Citations 9,201 132 World Ranking 541 National Ranking 20

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Climate change

His main research concerns Climate change, Carbon cycle, Causal inference, Climate extremes and Extreme events. As part of his studies on Climate change, Jakob Zscheischler frequently links adjacent subjects like Water content. Carbon cycle is a primary field of his research addressed under Ecosystem.

His Ecosystem research incorporates elements of Biosphere, Biogeochemistry and Environmental protection. His work carried out in the field of Climate extremes brings together such families of science as Adaptation strategies, Multivariate statistics and Econometrics. His Extreme events study combines topics in areas such as Primary production, Environmental resource management and Temporal scales.

His most cited work include:

  • Climate extremes and the carbon cycle (804 citations)
  • Climate extremes and the carbon cycle (804 citations)
  • Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts (357 citations)

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

Jakob Zscheischler mainly investigates Climate change, Ecosystem, Precipitation, Multivariate statistics and Climate model. His work on Climate extremes and Climate risk as part of general Climate change study is frequently connected to Dryness, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. The concepts of his Climate extremes study are interwoven with issues in Extreme events and Carbon flux.

His Ecosystem research integrates issues from Global warming and Biosphere. His Precipitation study combines topics from a wide range of disciplines, such as Agriculture, Crop yield, Vegetation, Water content and Anomaly. His work on Univariate as part of general Multivariate statistics research is frequently linked to Event, bridging the gap between disciplines.

He most often published in these fields:

  • Climate change (54.82%)
  • Ecosystem (43.37%)
  • Precipitation (36.14%)

What were the highlights of his more recent work (between 2019-2021)?

  • Multivariate statistics (31.93%)
  • Climate change (54.82%)
  • Precipitation (36.14%)

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

Jakob Zscheischler spends much of his time researching Multivariate statistics, Climate change, Precipitation, Climate model and Ecosystem. His study in the field of Univariate also crosses realms of Event. Climate risk is the focus of his Climate change research.

Jakob Zscheischler interconnects Agriculture, Flood myth and Cold wave in the investigation of issues within Precipitation. The Ecosystem study combines topics in areas such as Global warming, Representativeness heuristic, Evapotranspiration and Vegetation. His studies deal with areas such as Biosphere, Productivity, Leaf area index, Carbon cycle and Extreme events as well as Growing season.

Between 2019 and 2021, his most popular works were:

  • A typology of compound weather and climate events (54 citations)
  • A typology of compound weather and climate events (54 citations)
  • Understanding and managing connected extreme events (28 citations)

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

  • Statistics
  • Ecology
  • Climate change

His primary areas of investigation include Climate change, Multivariate statistics, Global warming, Ecosystem and Growing season. The study incorporates disciplines such as Cold wave, Flood myth and Hydrometeorology, Precipitation in addition to Climate change. The various areas that Jakob Zscheischler examines in his Precipitation study include Agriculture and Agronomy, Crop.

His research in Multivariate statistics intersects with topics in Snow, Snowmelt, Spatial distribution and Common spatial pattern. He studies Carbon cycle, a branch of Ecosystem. His work deals with themes such as Climate extremes, Extreme events, Climate model and Biosphere, which intersect with Growing season.

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

Climate extremes and the carbon cycle

Markus Reichstein;Michael Bahn;Philippe Ciais;Dorothea Frank.
Nature (2013)

906 Citations

Future climate risk from compound events

Jakob Zscheischler;Seth Westra;Bart J. J. M. van den Hurk;Bart J. J. M. van den Hurk;Sonia I. Seneviratne.
Nature Climate Change (2018)

407 Citations

Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts

Dorothe A. Frank;Markus Reichstein;Michael Bahn;Kirsten Thonicke.
Global Change Biology (2015)

378 Citations

Inferring causation from time series in Earth system sciences

Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls.
Nature Communications (2019)

290 Citations

Distinguishing cause from effect using observational data: methods and benchmarks

Joris M. Mooij;Jonas Peters;Dominik Janzing;Jakob Zscheischler.
Journal of Machine Learning Research (2016)

278 Citations

Information-geometric approach to inferring causal directions

Dominik Janzing;Joris Mooij;Kun Zhang;Jan Lemeire.
Artificial Intelligence (2012)

269 Citations

Dependence of drivers affects risks associated with compound events.

Jakob Zscheischler;Sonia I. Seneviratne.
Science Advances (2017)

197 Citations

Inferring deterministic causal relations

Povilas Daniušis;Dominik Janzing;Joris Mooij;Jakob Zscheischler.
uncertainty in artificial intelligence (2010)

163 Citations

Impact of soil moisture on extreme maximum temperatures in Europe

Kirien Whan;Jakob Zscheischler;Rene Orth;Mxolisi Shongwe.
Weather and climate extremes (2015)

134 Citations

A few extreme events dominate global interannual variability in gross primary production

Jakob Zscheischler;Jakob Zscheischler;Miguel D Mahecha;Jannis von Buttlar;Stefan Harmeling.
Environmental Research Letters (2014)

130 Citations

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