H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Environmental Sciences H-index 65 Citations 16,901 218 World Ranking 800 National Ranking 394

Research.com Recognitions

Awards & Achievements

2018 - Fellow of American Geophysical Union (AGU)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Climate change

Balaji Rajagopalan mostly deals with Climatology, Sea surface temperature, Precipitation, Streamflow and Meteorology. Balaji Rajagopalan specializes in Climatology, namely Monsoon. His study in Sea surface temperature is interdisciplinary in nature, drawing from both Smoothing and Covariance.

His Precipitation study combines topics from a wide range of disciplines, such as Land cover, Statistics, Kriging and Evapotranspiration. The concepts of his Streamflow study are interwoven with issues in Snow, Structural basin, Geopotential height and Water resources. His biological study deals with issues like Subsidence, which deal with fields such as Climate model, Forcing and Atmospheric sciences.

His most cited work include:

  • Analyses of global sea surface temperature 1856–1991 (1306 citations)
  • On the Weakening Relationship Between the Indian Monsoon and ENSO (1118 citations)
  • Unraveling the Mystery of Indian Monsoon Failure During El Niño (514 citations)

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

His primary areas of study are Climatology, Precipitation, Streamflow, Meteorology and Statistics. As part of his studies on Climatology, Balaji Rajagopalan often connects relevant subjects like Climate change. Balaji Rajagopalan has included themes like Watershed, Surface runoff and Kriging in his Precipitation study.

His work in Streamflow covers topics such as Water resources which are related to areas like Snow. His Statistics research includes elements of Feature vector and k-nearest neighbors algorithm. His research in Monsoon is mostly focused on Monsoon of South Asia.

He most often published in these fields:

  • Climatology (55.05%)
  • Precipitation (28.72%)
  • Streamflow (28.72%)

What were the highlights of his more recent work (between 2015-2021)?

  • Climatology (55.05%)
  • Precipitation (28.72%)
  • Hydrology (15.43%)

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

His primary scientific interests are in Climatology, Precipitation, Hydrology, Streamflow and Climate change. His Climatology research is multidisciplinary, relying on both Arctic and Holocene. His research in Precipitation intersects with topics in Covariate, Generalized linear model and Climate model.

His study looks at the relationship between Hydrology and topics such as Sewage treatment, which overlap with Random forest. His Streamflow research is multidisciplinary, incorporating perspectives in Stochastic simulation, Wavelet, Surface runoff and Hidden Markov model. The Climate change study combines topics in areas such as Water balance and Seasonality.

Between 2015 and 2021, his most popular works were:

  • Climate Change and the Emergent Epidemic of CKD from Heat Stress in Rural Communities: The Case for Heat Stress Nephropathy (155 citations)
  • Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports (83 citations)
  • Application of machine learning to construction injury prediction (74 citations)

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

  • Statistics
  • Artificial intelligence
  • Climate change

Climatology, Climate change, Precipitation, Meteorology and Parametric statistics are his primary areas of study. His studies in Climatology integrate themes in fields like Streamflow, Downscaling and Mode. His work carried out in the field of Climate change brings together such families of science as Seasonality, Spatial variability, Monsoon of South Asia, Water balance and El Niño Southern Oscillation.

His Precipitation research is multidisciplinary, relying on both Climate model, Forcing, Evapotranspiration and Weather Research and Forecasting Model. While the research belongs to areas of Meteorology, he spends his time largely on the problem of Data set, intersecting his research to questions surrounding Interpolation, Inverse distance weighting and Visual inspection. His work deals with themes such as Random variable, Calibration, Structural engineering, Finite element method and Covariance matrix, which intersect with Parametric statistics.

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.

Top Publications

Analyses of global sea surface temperature 1856–1991

Alexey Kaplan;Mark A. Cane;Yochanan Kushnir;Amy C. Clement.
Journal of Geophysical Research (1998)

1740 Citations

On the Weakening Relationship Between the Indian Monsoon and ENSO

K. Krishna Kumar;Balaji Rajagopalan;Mark A. Cane.
Science (1999)

1488 Citations

Unraveling the Mystery of Indian Monsoon Failure During El Niño

K. Krishna Kumar;Balaji Rajagopalan;Balaji Rajagopalan;Martin Hoerling;Gary Bates.
Science (2006)

686 Citations

Knowledge-sharing and influence in online social networks via viral marketing

Mani R. Subramani;Balaji Rajagopalan.
Communications of The ACM (2003)

629 Citations

Seasonal Cycle Shifts in Hydroclimatology over the Western United States

Satish Kumar Regonda;Balaji Rajagopalan;Martyn Clark;John Pitlick.
Journal of Climate (2005)

608 Citations

A k‐nearest‐neighbor simulator for daily precipitation and other weather variables

Balaji Rajagopalan;Upmanu Lall.
Water Resources Research (1999)

501 Citations

Estimation of mutual information using kernel density estimators.

Young-Il Moon;Balaji Rajagopalan;Upmanu Lall.
Physical Review E (1995)

478 Citations

A framework for creating hybrid‐open source software communities

Srinarayan Sharma;Vijayan Sugumaran;Balaji Rajagopalan.
Information Systems Journal (2002)

323 Citations

A technique for generating regional climate scenarios using a nearest‐neighbor algorithm

David Yates;David Yates;Subhrendu Gangopadhyay;Balaji Rajagopalan;Kenneth Strzepek.
Water Resources Research (2003)

319 Citations

The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields

Martyn Clark;Subhrendu Gangopadhyay;Lauren Hay;Balaji Rajagopalan.
Journal of Hydrometeorology (2004)

285 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Balaji Rajagopalan

Upmanu Lall

Upmanu Lall

Columbia University

Publications: 70

Martyn P. Clark

Martyn P. Clark

University of Saskatchewan

Publications: 56

Mark A. Cane

Mark A. Cane

Lamont-Doherty Earth Observatory

Publications: 53

Richard Seager

Richard Seager

Lamont-Doherty Earth Observatory

Publications: 53

Bin Wang

Bin Wang

University of Hawaii at Manoa

Publications: 48

Edward R. Cook

Edward R. Cook

Lamont-Doherty Earth Observatory

Publications: 46

Shang-Ping Xie

Shang-Ping Xie

University of California, San Diego

Publications: 41

Vijay P. Singh

Vijay P. Singh

Texas A&M University

Publications: 40

Michael E. Mann

Michael E. Mann

Pennsylvania State University

Publications: 39

U. C. Mohanty

U. C. Mohanty

Indian Institute of Technology Bhubaneswar

Publications: 39

Yochanan Kushnir

Yochanan Kushnir

Lamont-Doherty Earth Observatory

Publications: 38

Benjamin I. Cook

Benjamin I. Cook

Goddard Institute for Space Studies

Publications: 38

Taha B. M. J. Ouarda

Taha B. M. J. Ouarda

Institut National de la Recherche Scientifique

Publications: 34

Rosanne D'Arrigo

Rosanne D'Arrigo

Lamont-Doherty Earth Observatory

Publications: 34

Hai Cheng

Hai Cheng

Xi'an Jiaotong University

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