H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Social Sciences and Humanities D-index 32 Citations 6,875 152 World Ranking 3886 National Ranking 32

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • China
  • Artificial intelligence

Massimo Riccaboni mostly deals with Industrial organization, Pharmaceutical industry, Regional science, Probability and statistics and Microeconomics. His studies in Industrial organization integrate themes in fields like Diversification and PageRank. His Pharmaceutical industry research includes elements of Structure, Productivity gap and Investment.

As part of his studies on Probability and statistics, Massimo Riccaboni often connects relevant areas like Econometrics. His study in Microeconomics is interdisciplinary in nature, drawing from both Order and Network science. His work carried out in the field of Returns to scale brings together such families of science as Data science and Distribution.

His most cited work include:

  • The productivity crisis in pharmaceutical R&D (605 citations)
  • A Comparison of U.S. and European University-Industry Relations in the Life Sciences (421 citations)
  • Technological change and network dynamics: Lessons from the pharmaceutical industry (295 citations)

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

His primary areas of study are Industrial organization, Econometrics, Pharmaceutical industry, Distribution and Preferential attachment. His research integrates issues of Competition and Structure in his study of Industrial organization. Within one scientific family, Massimo Riccaboni focuses on topics pertaining to Pareto principle under Econometrics, and may sometimes address concerns connected to Zipf's law.

Pharmaceutical industry is integrated with Technological change and Marketing in his research. The study incorporates disciplines such as Variance, Production and Scale in addition to Distribution. He integrates Preferential attachment and Exponent in his research.

He most often published in these fields:

  • Industrial organization (15.82%)
  • Econometrics (16.46%)
  • Pharmaceutical industry (12.66%)

What were the highlights of his more recent work (between 2018-2021)?

  • Legislation (2.53%)
  • Econometrics (16.46%)
  • Test (3.48%)

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

His scientific interests lie mostly in Legislation, Econometrics, Test, Equity and Artificial intelligence. The concepts of his Econometrics study are interwoven with issues in Ranking, Dropout and PageRank. His Equity research focuses on subjects like Debt, which are linked to Public policy, Program evaluation and Incentive.

The various areas that Massimo Riccaboni examines in his Artificial intelligence study include Counterfactual thinking, Shock, Machine learning, Recursive partitioning and Process. His work focuses on many connections between Total factor productivity and other disciplines, such as Wage inequality, that overlap with his field of interest in Productivity. He merges many fields, such as Public relations and Work, in his writings.

Between 2018 and 2021, his most popular works were:

  • Systemic risk from investment similarities (28 citations)
  • Systemic risk from investment similarities (28 citations)
  • Projects, institutional logics and institutional work practices: The case of the Lucca Comics & Games Festival (7 citations)

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

  • Statistics
  • Artificial intelligence
  • China

The scientist’s investigation covers issues in Economic geography, Centrality, Work, Microeconomics and Corporate group. The Economic geography study combines topics in areas such as Circulation and Scale. His studies deal with areas such as Ranking and PageRank as well as Centrality.

His Work research spans across into subjects like Life Scientists, Fantasy, Archival research, Comics and Prospective research. His research in the fields of Competition overlaps with other disciplines such as Intersection and Micro level. His Corporate group research integrates issues from Developing country, Set and Financial information.

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

The productivity crisis in pharmaceutical R&D

Fabio Pammolli;Laura Magazzini;Massimo Riccaboni.
Nature Reviews Drug Discovery (2011)

921 Citations

A Comparison of U.S. and European University-Industry Relations in the Life Sciences

Jason Owen-Smith;Massimo Riccaboni;Fabio Pammolli;Walter W. Powell.
Management Science (2002)

655 Citations

Technological change and network dynamics: Lessons from the pharmaceutical industry

L. Orsenigo;F. Pammolli;Massimo Riccaboni.
Research Policy (2001)

565 Citations

Innovation and corporate growth in the evolution of the drug industry

Giulio Bottazzi;Giovanni Dosi;Marco Lippi;Fabio Pammolli.
International Journal of Industrial Organization (2001)

511 Citations

Does co-location matter for formal knowledge collaboration in the Swedish biotechnology-pharmaceutical sector?

Maureen McKelvey;Håkan Alm;Massimo Riccaboni.
Research Policy (2003)

354 Citations

The growth of business firms: Theoretical framework and empirical evidence

Dongfeng Fu;Fabio Pammolli;Sergey V. Buldyrev;Massimo Riccaboni.
Proceedings of the National Academy of Sciences of the United States of America (2005)

236 Citations

Reputation and impact in academic careers

Alexander Michael Petersen;Santo Fortunato;Raj K. Pan;Kimmo Kaski.
Proceedings of the National Academy of Sciences of the United States of America (2014)

198 Citations

Persistence and uncertainty in the academic career

Alexander M. Petersen;Massimo Riccaboni;H. Eugene Stanley;Fabio Pammolli.
Proceedings of the National Academy of Sciences of the United States of America (2012)

136 Citations

World Input-Output Network.

Federica Cerina;Zhen Zhu;Alessandro Chessa;Massimo Riccaboni.
PLOS ONE (2015)

133 Citations

Innovation and competitiveness in European biotechnology

Fabio Pammolli;A. Allansdottir;Andrea Bonaccorsi;Alfonso Gambardella.
(2002)

127 Citations

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Best Scientists Citing Massimo Riccaboni

Alex Coad

Alex Coad

Waseda University

Publications: 39

Fabio Pammolli

Fabio Pammolli

Politecnico di Milano

Publications: 25

Luigi Orsenigo

Luigi Orsenigo

Bocconi University

Publications: 24

Franco Malerba

Franco Malerba

Bocconi University

Publications: 20

Giovanni Dosi

Giovanni Dosi

Sant'Anna School of Advanced Studies

Publications: 18

Loet Leydesdorff

Loet Leydesdorff

University of Amsterdam

Publications: 15

Walter W. Powell

Walter W. Powell

Stanford University

Publications: 14

Guido Caldarelli

Guido Caldarelli

Ca Foscari University of Venice

Publications: 13

Santo Fortunato

Santo Fortunato

Indiana University

Publications: 12

J. Doyne Farmer

J. Doyne Farmer

University of Oxford

Publications: 12

Giorgio Fagiolo

Giorgio Fagiolo

Sant'Anna School of Advanced Studies

Publications: 12

Haizhong An

Haizhong An

China University of Geosciences

Publications: 12

Xavier Gabaix

Xavier Gabaix

Harvard University

Publications: 11

Stefano Battiston

Stefano Battiston

Ca Foscari University of Venice

Publications: 11

Andrea Bonaccorsi

Andrea Bonaccorsi

University of Pisa

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Koen Frenken

Koen Frenken

Utrecht University

Publications: 10

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