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 67 Citations 14,583 492 World Ranking 910 National Ranking 425

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2017 - Fellow of American Geophysical Union (AGU)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Climate change
  • Ecology

His main research concerns Climatology, Precipitation, Statistics, Nonparametric statistics and Flood myth. He has included themes like Streamflow, Climate change and Meteorology in his Climatology study. His research integrates issues of Surface-water hydrology, Groundwater recharge, Aquifer and Groundwater in his study of Precipitation.

In the field of Statistics, his study on Estimator, Density estimation and Kernel density estimation overlaps with subjects such as Multivariate kernel density estimation. His Nonparametric statistics research incorporates themes from Resampling, Parametric statistics, Autoregressive model and Nonlinear system. His work on 100-year flood as part of general Flood myth study is frequently linked to Warning system, bridging the gap between disciplines.

His most cited work include:

  • A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series (544 citations)
  • A k‐nearest‐neighbor simulator for daily precipitation and other weather variables (335 citations)
  • Estimation of mutual information using kernel density estimators. (324 citations)

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

His scientific interests lie mostly in Climatology, Streamflow, Precipitation, Hydrology and Flood myth. Upmanu Lall combines subjects such as Meteorology and Flood forecasting with his study of Climatology. His Streamflow study combines topics from a wide range of disciplines, such as Inflow and Water resources.

Upmanu Lall is involved in the study of Precipitation that focuses on Teleconnection in particular. His study in Groundwater and Hydrology is carried out as part of his studies in Hydrology. He mostly deals with 100-year flood in his studies of Flood myth.

He most often published in these fields:

  • Climatology (34.67%)
  • Streamflow (15.22%)
  • Precipitation (14.16%)

What were the highlights of his more recent work (between 2016-2021)?

  • Climatology (34.67%)
  • Hydrology (10.99%)
  • Water resource management (8.03%)

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

Climatology, Hydrology, Water resource management, Precipitation and Streamflow are his primary areas of study. His Climatology research is multidisciplinary, incorporating perspectives in Flood myth and Climate change. His work deals with themes such as Global change, Environmental resource management and Natural hazard, which intersect with Hydrology.

His research integrates issues of Agriculture and Groundwater in his study of Water resource management. His Precipitation study frequently links to adjacent areas such as Atmospheric sciences. His Streamflow study introduces a deeper knowledge of Hydrology.

Between 2016 and 2021, his most popular works were:

  • Depletion and response of deep groundwater to climate-induced pumping variability (89 citations)
  • National trends in drinking water quality violations. (70 citations)
  • The future role of dams in the United States of America (55 citations)

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

  • Statistics
  • Climate change
  • Ecology

His main research concerns Climatology, Precipitation, Flood myth, Streamflow and Water resource management. His research in the fields of Atmospheric circulation overlaps with other disciplines such as Context. His Precipitation research includes themes of Inference, Atmospheric sciences, Hydrology and Conditional simulation.

His Flood myth study integrates concerns from other disciplines, such as Sea surface temperature, Natural resource economics, Environmental resource management and Scale. His Streamflow research is multidisciplinary, relying on both Geological survey, Physical geography and Forward contract. His Water resource management study also includes fields such as

  • Groundwater which is related to area like Sustainability, Water resources, Carbon dioxide and Natural resource management,
  • Agriculture that connect with fields like Water security, Statistics, Forecast skill and Risk management,
  • Water supply and related Rainwater harvesting, Scale, Reuse and Investment.

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

A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series

Upmanu Lall;Ashish Sharma.
Water Resources Research (1996)

773 Citations

Estimation of mutual information using kernel density estimators.

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

540 Citations

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

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

520 Citations

Streamflow simulation: A nonparametric approach

Ashish Sharma;David G. Tarboton;Upmanu L. Lall.
Water Resources Research (1997)

325 Citations

Flood Risks and Impacts: A Case Study of Thailand’s Floods in 2011 and Research Questions for Supply Chain Decision Making

Masahiko Haraguchi;Upmanu Lall.
International journal of disaster risk reduction (2015)

306 Citations

Floods in a changing climate: Does the past represent the future?

Shaleen Jain;Upmanu Lall.
Water Resources Research (2001)

300 Citations

Use of satellite imagery for water quality studies in New York Harbor

F.L. Hellweger;P. Schlosser;P. Schlosser;U. Lall;U. Lall;J.K. Weissel.
Estuarine Coastal and Shelf Science (2004)

282 Citations

Floods and climate: emerging perspectives for flood risk assessment and management

B. Merz;J. Aerts;K. Arnbjerg-Nielsen;M. Baldi.
(2014)

271 Citations

Water and economic development : The role of variability and a framework for resilience

Casey Brown;Upmanu Lall.
Natural Resources Forum (2006)

259 Citations

A rainwater harvesting system reliability model based on nonparametric stochastic rainfall generator.

Matt Basinger;Franco Montalto;Upmanu Lall.
Journal of Hydrology (2010)

238 Citations

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