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 55 Citations 10,751 180 World Ranking 1596 National Ranking 97

Overview

What is he best known for?

The fields of study he is best known for:

  • Climatology
  • Meteorology
  • Statistics

His primary areas of investigation include Climatology, Environmental science, Sea surface temperature, Monsoon and Atmospheric sciences. His work carried out in the field of Climatology brings together such families of science as Atmosphere, Convection, Climate model and Atmospheric model. There are a combination of areas like Predictability, Anomaly, Meteorology, Teleconnection and General Circulation Model integrated together with his Environmental science study.

His study in Predictability is interdisciplinary in nature, drawing from both Forecast skill and Hindcast. His Sea surface temperature research is multidisciplinary, incorporating elements of La Niña, Extratropical cyclone and GCM transcription factors. His biological study spans a wide range of topics, including Empirical orthogonal functions and Precipitation, Rainband.

His most cited work include:

  • The Asian Summer Monsoon: An Intercomparison of CMIP5 vs. CMIP3 Simulations of the Late 20th Century (528 citations)
  • Fundamental challenge in simulation and prediction of summer monsoon rainfall (501 citations)
  • Intercomparison of the climatological variations of Asian summer monsoon precipitation simulated by 10 GCMs (360 citations)

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

In-Sik Kang mainly focuses on Climatology, Environmental science, Meteorology, Atmospheric sciences and Sea surface temperature. His work deals with themes such as Madden–Julian oscillation, Predictability and Precipitation, which intersect with Climatology. In-Sik Kang has included themes like Atmosphere and Hindcast in his Predictability study.

Environmental science is intertwined with Convection, Monsoon, Forecast skill, Atmospheric model and Climate model in his research. The study incorporates disciplines such as Outgoing longwave radiation and Convective momentum transport in addition to Atmospheric sciences. His studies in Sea surface temperature integrate themes in fields like Teleconnection and Forcing.

He most often published in these fields:

  • Climatology (85.31%)
  • Environmental science (43.01%)
  • Meteorology (23.43%)

What were the highlights of his more recent work (between 2014-2021)?

  • Climatology (85.31%)
  • Environmental science (43.01%)
  • Precipitation (18.18%)

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

In-Sik Kang mainly investigates Climatology, Environmental science, Precipitation, Oceanography and Predictability. His research in Climatology intersects with topics in Madden–Julian oscillation, General Circulation Model and Geopotential height. His Precipitation research incorporates elements of Scale, Flooding and Atmospheric sciences.

His work on Atlantic multidecadal oscillation as part of general Oceanography research is frequently linked to South china and Surface cooling, bridging the gap between disciplines. His study explores the link between Predictability and topics such as Winter monsoon that cross with problems in Forecast skill, Hindcast and Trough. His study focuses on the intersection of Sea surface temperature and fields such as Teleconnection with connections in the field of Westerlies, Interdecadal Pacific Oscillation and Rossby wave.

Between 2014 and 2021, his most popular works were:

  • Western tropical Pacific multidecadal variability forced by the Atlantic multidecadal oscillation. (108 citations)
  • Atlantic forcing of Pacific decadal variability (84 citations)
  • MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis (82 citations)

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

  • Statistics
  • Meteorology
  • Climatology

His primary scientific interests are in Climatology, Environmental science, Oceanography, Atlantic multidecadal oscillation and North Atlantic Deep Water. In-Sik Kang focuses mostly in the field of Climatology, narrowing it down to topics relating to General Circulation Model and, in certain cases, Seasonal forecasting. His Environmental science research overlaps with other disciplines such as Anomaly, Convection, Precipitation, Atmospheric sciences and Predictability.

To a larger extent, In-Sik Kang studies Sea surface temperature with the aim of understanding Atlantic multidecadal oscillation. His research integrates issues of Ocean dynamics, Teleconnection and Anticyclone in his study of Sea surface temperature. In-Sik Kang combines subjects such as Tropical Atlantic, Pacific decadal oscillation and Forcing with his study of North Atlantic Deep Water.

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

Fundamental challenge in simulation and prediction of summer monsoon rainfall

Bin Wang;Qinghua Ding;Xiouhua Fu;In-Sik Kang.
Geophysical Research Letters (2005)

595 Citations

The Asian Summer Monsoon: An Intercomparison of CMIP5 vs. CMIP3 Simulations of the Late 20th Century

K. R. Sperber;H. Annamalai;I. Kang;A. Kitoh.
Climate Dynamics (2013)

575 Citations

Intercomparison of the climatological variations of Asian summer monsoon precipitation simulated by 10 GCMs

I.-S. Kang;K. Jin;B. Wang;K.-M. Lau.
Climate Dynamics (2002)

474 Citations

Current status of ENSO prediction skill in coupled ocean-atmosphere models

Emilia K. Jin;James L. Kinter;B. Wang;C.-K. Park.
Climate Dynamics (2008)

393 Citations

Ensemble Simulations of Asian–Australian Monsoon Variability by 11 AGCMs*

Bin Wang;In-Sik Kang;June-Yi Lee.
Journal of Climate (2004)

386 Citations

Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004)

Bin Wang;June Yi Lee;In Sik Kang;J. Shukla.
Climate Dynamics (2009)

349 Citations

Real-time multivariate indices for the boreal summer intraseasonal oscillation over the Asian summer monsoon region

June-Yi Lee;Bin Wang;Matthew C. Wheeler;Xiouhua Fu.
Climate Dynamics (2013)

294 Citations

Interactive Feedback between ENSO and the Indian Ocean

Jong-Seong Kug;In-Sik Kang.
Journal of Climate (2006)

268 Citations

AGCM simulations of intraseasonal variability associated with the Asian summer monsoon

D. E. Waliser;K. Jin;I.-S. Kang;W. F. Stern.
Climate Dynamics (2003)

263 Citations

Potential Predictability of Summer Mean Precipitation in a Dynamical Seasonal Prediction System with Systematic Error Correction

In-Sik Kang;June-Yi Lee;Chung-Kyu Park.
Journal of Climate (2004)

205 Citations

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