D-Index & Metrics Best Publications
Moshe Ben-Akiva

Moshe Ben-Akiva

D-Index & Metrics

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 83 Citations 32,794 318 World Ranking 105 National Ranking 51

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Machine learning

Moshe Ben-Akiva mainly investigates Econometrics, Discrete choice, Operations research, Simulation and Mode choice. His study in the field of Revealed preference also crosses realms of Index. His research in Discrete choice intersects with topics in Choice set, Latent variable model, Latent variable, Mixed logit and Multinomial logistic regression.

His Operations research research incorporates elements of Microsimulation, Transport engineering, Risk aversion, Mathematical model and Decision rule. His Simulation study incorporates themes from Traffic congestion and Traffic simulation, Traffic flow. As part of his studies on Mode choice, he often connects relevant subjects like Travel behavior.

His most cited work include:

  • Discrete Choice Analysis: Theory and Application to Travel Demand (5349 citations)
  • Discrete choice analysis (1360 citations)
  • Discrete Choice Methods and their Applications to Short Term Travel Decisions (639 citations)

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

His primary areas of study are Transport engineering, Operations research, Econometrics, Simulation and Travel behavior. His Operations research study frequently draws connections between related disciplines such as Representation. His Econometrics research is multidisciplinary, relying on both Mixed logit and Statistics, Mathematical model.

The concepts of his Simulation study are interwoven with issues in Intelligent transportation system, Mathematical optimization and Traffic simulation. Moshe Ben-Akiva has included themes like Mode choice and Sample in his Travel behavior study. His Discrete choice research is multidisciplinary, incorporating elements of Choice set, Latent variable and Process.

He most often published in these fields:

  • Transport engineering (24.74%)
  • Operations research (21.88%)
  • Econometrics (16.97%)

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

  • Transport engineering (24.74%)
  • Context (10.43%)
  • Operations research (21.88%)

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

His scientific interests lie mostly in Transport engineering, Context, Operations research, Travel behavior and On demand. His work deals with themes such as Toll road and Truck, which intersect with Transport engineering. Traffic congestion, Data collection, Marketing, Mixed logit and Mode choice are fields of study that intersect with his Context study.

His Mixed logit study deals with Choice set intersecting with Congestion pricing. The study incorporates disciplines such as Statistical hypothesis testing, Duration, Personalization, Focus and Data set in addition to Operations research. Moshe Ben-Akiva has researched Travel behavior in several fields, including Sample, Real-time computing and Global Positioning System.

Between 2016 and 2021, his most popular works were:

  • Rainfall-integrated traffic speed prediction using deep learning method (37 citations)
  • Automated Mobility-on-Demand vs. Mass Transit: A Multi-Modal Activity-Driven Agent-Based Simulation Approach: (36 citations)
  • Automated Mobility-on-Demand vs. Mass Transit: A Multi-Modal Activity-Driven Agent-Based Simulation Approach: (36 citations)

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

  • Statistics
  • Artificial intelligence
  • Machine learning

Moshe Ben-Akiva spends much of his time researching Transport engineering, Context, On demand, Travel behavior and Econometrics. His Transport engineering study integrates concerns from other disciplines, such as Truck and Service. His Context research incorporates Congestion pricing, Mixed logit, Human–computer interaction, Preference and Mode choice.

His studies deal with areas such as Response rate, Environmental planning and Operations research as well as Travel behavior. He performs multidisciplinary study in the fields of Operations research and Schedule via his papers. The Econometrics study combines topics in areas such as Preference elicitation, Estimation and Consumer behaviour.

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

Discrete Choice Analysis: Theory and Application to Travel Demand

Moshe E. Ben-Akiva;Steven R. Lerman.
(1985)

8859 Citations

Discrete choice analysis

Moshe E. Ben-Akiva;Steven R. Lerman.
(1989)

2146 Citations

Discrete Choice Methods and their Applications to Short Term Travel Decisions

Moshe Ben-Akiva;Michel Bierlaire.
Handbook of Transportation Science (1999)

1058 Citations

Dynamic network models and driver information systems

Moshe Ben-Akiva;Andre De Palma;Kaysi Isam.
Transportation Research Part A: General (1991)

772 Citations

Activity-based disaggregate travel demand model system with activity schedules

J.L Bowman;M.E Ben-Akiva.
Transportation Research Part A-policy and Practice (2001)

739 Citations

Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions

Allan D. Shocker;Moshe Ben-Akiva;Bruno Boccara;Prakash Nedungadi.
Marketing Letters (1991)

738 Citations

Hybrid choice models : Progress and challenges

Moshe Ben-Akiva;Daniel Mcfadden;Kenneth Train;Joan Walker.
Marketing Letters (2002)

606 Citations

The demand for local telephone service: a fully discrete model of residential calling patterns and service choices

Kenneth E. Train;Daniel L. McFadden;Moshe Ben-Akiva.
The RAND Journal of Economics (1987)

534 Citations

Generalized random utility model

Joan L. Walker;Moshe E. Ben-Akiva.
Mathematical Social Sciences (2002)

507 Citations

Integration of Choice and Latent Variable Models

Moshe Ben-Akiva;Joan Walker;Adriana T. Bernardino;Dinesh A. Gopinath.
(1999)

486 Citations

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