What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Computer network
Transport engineering, Mathematical optimization, Pedestrian, Built environment and Hurricane evacuation are his primary areas of study.
His research integrates issues of Air quality index, Global Positioning System, Human factors and ergonomics and Systems modeling in his study of Transport engineering.
His work on Linear programming as part of general Mathematical optimization research is frequently linked to Complementarity theory, bridging the gap between disciplines.
His study focuses on the intersection of Pedestrian and fields such as Injury prevention with connections in the field of Frequency distribution, Collision and Negative binomial distribution.
His Hurricane evacuation research integrates issues from Behavioral modeling, Sample, Traffic simulation and Natural disaster.
His work in Network planning and design addresses subjects such as Optimal design, which are connected to disciplines such as Robustness and Operations research.
His most cited work include:
- Spatiotemporal Patterns of Urban Human Mobility (179 citations)
- Robust Transportation Network Design Under Demand Uncertainty (172 citations)
- Urban activity pattern classification using topic models from online geo-location data (166 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Transport engineering, Mathematical optimization, Operations research, Simulation and Social media.
His study in the field of Hurricane evacuation and Traffic congestion also crosses realms of Metropolitan area.
Satish V. Ukkusuri studies Flow network, a branch of Mathematical optimization.
His Social media study integrates concerns from other disciplines, such as Dissemination and Data science.
He most often published in these fields:
- Transport engineering (18.54%)
- Mathematical optimization (19.45%)
- Operations research (11.55%)
What were the highlights of his more recent work (between 2019-2021)?
- Coronavirus disease 2019 (2.74%)
- Mobile phone (4.86%)
- Scale (2.43%)
In recent papers he was focusing on the following fields of study:
Satish V. Ukkusuri focuses on Coronavirus disease 2019, Mobile phone, Scale, Mathematical optimization and Demographic economics.
Satish V. Ukkusuri interconnects Travel survey, Key, Interpretability and Internet privacy in the investigation of issues within Mobile phone.
In his research, Causal inference, Economic cost, Natural disaster and Economic impact analysis is intimately related to Resilience, which falls under the overarching field of Scale.
The various areas that he examines in his Mathematical optimization study include Joint cost and Directed acyclic graph.
Satish V. Ukkusuri performs integrative study on Public opinion and Transport engineering in his works.
His Transport engineering research includes themes of Truck and Risk assessment.
Between 2019 and 2021, his most popular works were:
- Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic. (34 citations)
- Optimal charging facility location and capacity for electric vehicles considering route choice and charging time equilibrium (13 citations)
- Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Computer network
His scientific interests lie mostly in Demographic economics, Mobile phone, Scale, Coronavirus disease 2019 and Social contact.
Satish V. Ukkusuri has researched Demographic economics in several fields, including Human factors and ergonomics, Emergency management and Equity.
The concepts of his Mobile phone study are interwoven with issues in Causal inference, Economic impact analysis, Natural disaster and Economic cost.
His Scale research incorporates elements of Environmental economics and Resilience.
The Severe acute respiratory syndrome coronavirus 2 research he does as part of his general Coronavirus disease 2019 study is frequently linked to other disciplines of science, such as 2019-20 coronavirus outbreak, therefore creating a link between diverse domains of science.
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