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
Engineering and Technology D-index 53 Citations 10,460 290 World Ranking 1695 National Ranking 40

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Operating system

Zoran Kapelan mainly focuses on Mathematical optimization, Genetic algorithm, Pipe network analysis, Multi-objective optimization and Distribution system. Zoran Kapelan specializes in Mathematical optimization, namely Optimization problem. His Genetic algorithm research integrates issues from Risk analysis, Sampling, Sampling design, Transient and Operations research.

He combines subjects such as Software, SCADA, Water company and Greedy algorithm with his study of Multi-objective optimization. His research in Leakage intersects with topics in Network simulation, Control models, Network management and Asset management. His biological study spans a wide range of topics, including Geotechnical engineering, Probability density function and Hydrological modelling.

His most cited work include:

  • The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms (422 citations)
  • A review of methods for leakage management in pipe networks (356 citations)
  • Evolutionary algorithms and other metaheuristics in water resources (337 citations)

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

His primary scientific interests are in Mathematical optimization, Distribution system, Operations research, Water resources and Environmental engineering. His Mathematical optimization study integrates concerns from other disciplines, such as Optimal design and Robustness. His Distribution system study spans across into fields like Reliability engineering, Simulation and Real-time computing.

Zoran Kapelan studied Water resources and Water supply that intersect with Time horizon. His research integrates issues of Water conservation and Rainwater harvesting in his study of Environmental engineering. His studies deal with areas such as Water use and Sanitary sewer as well as Wastewater.

He most often published in these fields:

  • Mathematical optimization (24.76%)
  • Distribution system (22.54%)
  • Operations research (9.21%)

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

  • Distribution system (22.54%)
  • Wastewater (9.21%)
  • Water demand (6.03%)

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

His primary areas of investigation include Distribution system, Wastewater, Water demand, Distribution networks and Water quality. Among his research on Distribution system, you can see a combination of other fields of science like Large networks, Current, Session, International waters and Battle. His Wastewater research incorporates themes from Hydrology, Sewerage and Sewage.

His Water demand study also includes

  • Weather data which intersects with area such as Gradient boosting, Statistics, Mean absolute percentage error and Range,
  • Metering mode which is related to area like Automotive engineering, Leak and Water supply. Distribution networks is integrated with Real-time computing, Decision support system, Complex network analysis, Mathematical optimization and Power graph analysis in his research. Zoran Kapelan has included themes like Evolutionary algorithm and Resilience in his Water quality study.

Between 2019 and 2021, his most popular works were:

  • Exploring trade-offs among the multiple benefits of green-blue-grey infrastructure for urban flood mitigation. (22 citations)
  • Exploring trade-offs among the multiple benefits of green-blue-grey infrastructure for urban flood mitigation. (22 citations)
  • Water Demand Forecasting Accuracy and Influencing Factors at Different Spatial Scales Using a Gradient Boosting Machine (10 citations)

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

  • Statistics
  • Artificial intelligence
  • Operating system

Zoran Kapelan mostly deals with Water demand, Environmental planning, Distribution system, Flood mitigation and Work. His work deals with themes such as Mean absolute percentage error, Weather data, Gradient boosting and Statistics, Range, which intersect with Water demand. Water quality, Resilience, Service, Natural disaster and Software deployment are fields of study that intersect with his Distribution system study.

His study connects Urban heat island and Water quality. His Resilience research includes themes of Water utility, Optimization problem, Risk analysis and Process. His Flood mitigation study is concerned with the larger field of Flood myth.

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 review of methods for leakage management in pipe networks

R. Puust;Z. Kapelan;D. A. Savic;T. Koppel.
(2010)

655 Citations

The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms

Avi Ostfeld;James G. Uber;Elad Salomons;Jonathan W. Berry.
(2008)

609 Citations

Evolutionary algorithms and other metaheuristics in water resources

H.R. Maier;Z. Kapelan;J. Kasprzyk;J. Kollat.
(2014)

601 Citations

Pressure-Driven Demand and Leakage Simulation for Water Distribution Networks

Orazio Giustolisi;Orazio Giustolisi;Dragan Savic;Dragan Savic;Zoran Kapelan;Zoran Kapelan.
(2008)

399 Citations

Multiobjective design of water distribution systems under uncertainty

Zoran S. Kapelan;Dragan A. Savic;Godfrey A. Walters.
(2005)

259 Citations

Least-Cost Design of Water Distribution Networks under Demand Uncertainty

Artem Babayan;Zoran Kapelan;Dragan A Savic;Godfrey A Walters.
(2005)

244 Citations

Development of pipe deterioration models for water distribution systems using EPR

L. Berardi;O. Giustolisi;Z. Kapelan;D. A. Savic.
(2008)

230 Citations

Quo vadis water distribution model calibration

Dragan A. Savic;Zoran S. Kapelan;Philip M.R. Jonkergouw.
(2009)

222 Citations

A hybrid inverse transient model for leakage detection and roughness calibration in pipe networks

Zoran S. Kapelan;Dragan A. Savic;Godfrey A. Walters.
(2003)

214 Citations

Adaptive Flood Risk Management Under Climate Change Uncertainty Using Real Options and Optimization

Michelle Woodward;Zoran Kapelan;Ben Gouldby.
(2014)

190 Citations

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