D-Index & Metrics Best Publications
Social Sciences and Humanities
Austria
2022

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
Social Sciences and Humanities D-index 30 Citations 7,584 119 World Ranking 5945 National Ranking 19

Research.com Recognitions

Awards & Achievements

2022 - Research.com Social Sciences and Humanities in Austria Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Finance
  • Social psychology
  • Statistics

His primary scientific interests are in Econometrics, Microeconomics, Experimental economics, Experimental finance and Asset. Michael Kirchler has researched Econometrics in several fields, including Replication crisis, p-value and Order. Michael Kirchler interconnects Value of information, Financial market and Intrinsic value in the investigation of issues within Microeconomics.

His Experimental economics research incorporates elements of Asset market, Value and Market efficiency. His Experimental finance research includes themes of Social psychology, Group decision-making, Investment behavior and Fallacy, Gambler's fallacy. The concepts of his Asset study are interwoven with issues in Comparability and Contrast.

His most cited work include:

  • Redefine statistical significance (993 citations)
  • Evaluating replicability of laboratory experiments in economics (408 citations)
  • Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (382 citations)

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

Michael Kirchler spends much of his time researching Experimental finance, Asset, Monetary economics, Financial economics and Incentive. The Experimental finance study combines topics in areas such as Investment decisions and Financial services. As a member of one scientific family, he mostly works in the field of Asset, focusing on Information asymmetry and, on occasion, Value of information.

His Monetary economics research incorporates themes from Tax reform, Double taxation, Ad valorem tax and Market efficiency. Michael Kirchler is studying Experimental economics, which is a component of Microeconomics. Stylized fact and Statistical significance is closely connected to Econometrics in his research, which is encompassed under the umbrella topic of Experimental economics.

He most often published in these fields:

  • Experimental finance (57.89%)
  • Asset (33.68%)
  • Monetary economics (25.26%)

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

  • Experimental finance (57.89%)
  • Finance (18.42%)
  • Incentive (21.05%)

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

His primary areas of study are Experimental finance, Finance, Incentive, Competition and Investment decisions. Experimental finance is a subfield of Behavioral economics that Michael Kirchler studies. His study with Incentive involves better knowledge in Microeconomics.

His biological study spans a wide range of topics, including Ranking and Prosocial behavior. His Risk perception study integrates concerns from other disciplines, such as Econometrics, Asset and Shock. His work deals with themes such as Financial market and Risk aversion, which intersect with Experimental economics.

Between 2019 and 2021, his most popular works were:

  • Variability in the analysis of a single neuroimaging dataset by many teams (147 citations)
  • Variability in the analysis of a single neuroimaging dataset by many teams (Preprint) (13 citations)
  • Bubbles and Financial Professionals (10 citations)

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

  • Finance
  • Statistics
  • Social psychology

Finance, Experimental finance, Competition, Framing effect and Investor behavior are his primary areas of study. His research integrates issues of Risk perception and Experimental economics in his study of Finance. His work carried out in the field of Experimental finance brings together such families of science as Capital and Price efficiency.

The study incorporates disciplines such as Market structure, Externality, Monetary economics and Moral behavior in addition to Competition. His Behavioral economics research integrates issues from Investment decisions, Social environment, Public economics and Financial services.

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

Redefine statistical significance

Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek.
Nature Human Behaviour (2018)

2045 Citations

Evaluating replicability of laboratory experiments in Economics

Colin Camerer;Anna Dreber;Eskil Forsell;Teck Ho.
Research Papers in Economics (2016)

1013 Citations

Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015

Colin F. Camerer;Anna Dreber;Felix Holzmeister;Teck-Hua Ho.
Nature Human Behaviour (2018)

989 Citations

Redefine Statistical Significance

Daniel Benjamin;James Berger;Magnus Johannesson;Brian Nosek.
Research Papers in Economics (2017)

778 Citations

Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber.
Nature (2020)

471 Citations

Intuition and cooperation reconsidered

Gustav Tinghög;David Andersson;Caroline Bonn;Harald Böttiger.
Nature (2013)

270 Citations

Thar She Bursts: Reducing Confusion Reduces Bubbles

Michael Kirchler;Jürgen Huber;Thomas Stöckl.
The American Economic Review (2012)

251 Citations

Bubble measures in experimental asset markets

Thomas Stöckl;Jürgen Huber;Michael Kirchler;Michael Kirchler.
Experimental Economics (2010)

246 Citations

Is more information always better?: Experimental financial markets with cumulative information

Jürgen Huber;Jürgen Huber;Michael Kirchler;Matthias Sutter.
Journal of Economic Behavior and Organization (2008)

112 Citations

The economic consequences of a Tobin tax: An experimental analysis

Michael Hanke;Jürgen Huber;Michael Kirchler;Michael Kirchler;Matthias Sutter.
Journal of Economic Behavior and Organization (2010)

106 Citations

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