François Lafond

938 total citations
20 papers, 525 citations indexed

About

François Lafond is a scholar working on Economics and Econometrics, Management Science and Operations Research and General Health Professions. According to data from OpenAlex, François Lafond has authored 20 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 7 papers in Management Science and Operations Research and 3 papers in General Health Professions. Recurrent topics in François Lafond's work include Innovation Diffusion and Forecasting (6 papers), Economic Growth and Productivity (5 papers) and COVID-19 epidemiological studies (3 papers). François Lafond is often cited by papers focused on Innovation Diffusion and Forecasting (6 papers), Economic Growth and Productivity (5 papers) and COVID-19 epidemiological studies (3 papers). François Lafond collaborates with scholars based in United Kingdom, United States and Slovakia. François Lafond's co-authors include J. Doyne Farmer, Anton Pichler, Matúš Medo, Manuel Sebastian Mariani, Marco Pangallo, Patrick McSharry, Aimee Gotway Bailey, Penny Mealy, Ian Goldin and Julian Winkler and has published in prestigious journals such as Science, Renewable and Sustainable Energy Reviews and Research Policy.

In The Last Decade

François Lafond

19 papers receiving 505 citations

Peers

François Lafond

RESE

MSOR

EEE

Liping Qiu China

Shaobin Wei China

Cédric Gossart France

Deok-Joo Lee South Korea

Hongjun Guan China

Mariangela Guidolin Italy

Guisheng Hou China

Stephan B. Bruns Germany

Zhiyi Meng China

Liping Qiu China

François Lafond

272 ×1.1

89 ×1.2

RESE

78 ×1.2

45 ×0.7

MSOR

74 ×1.2

EEE

Citations per year, relative to François Lafond François Lafond (= 1×) peers Liping Qiu

Countries citing papers authored by François Lafond

Since Specialization

Citations

This map shows the geographic impact of François Lafond's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by François Lafond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Lafond more than expected).

Fields of papers citing papers by François Lafond

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François Lafond. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by François Lafond. The network helps show where François Lafond may publish in the future.

Co-authorship network of co-authors of François Lafond

This figure shows the co-authorship network connecting the top 25 collaborators of François Lafond. A scholar is included among the top collaborators of François Lafond based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with François Lafond. François Lafond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brintrup, Alexandra, et al.. (2024). Reconstructing supply networks. Journal of Physics Complexity. 5(1). 12001–12001. 3 indexed citations

Goldin, Ian, Pantelis Koutroumpis, François Lafond, & Julian Winkler. (2024). Why Is Productivity Slowing Down?. Journal of Economic Literature. 62(1). 196–268. 26 indexed citations

Winkler, Julian, et al.. (2024). Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution. Industrial and Corporate Change. 34(1). 79–117.

Pangallo, Marco, Alberto Aleta, Anton Pichler, et al.. (2023). The unequal effects of the health–economy trade-off during the COVID-19 pandemic. Nature Human Behaviour. 8(2). 264–275. 31 indexed citations

Lafond, François, et al.. (2023). Reconstructing production networks using machine learning. Journal of Economic Dynamics and Control. 148. 104607–104607. 17 indexed citations

Pichler, Anton, Alexandra Brintrup, François Lafond, et al.. (2023). Building an alliance to map global supply networks. Science. 382(6668). 270–272. 31 indexed citations

Pichler, Anton, et al.. (2022). Forecasting the propagation of pandemic shocks with a dynamic input-output model. Journal of Economic Dynamics and Control. 144. 104527–104527. 26 indexed citations

Lafond, François, et al.. (2022). Can Stimulating Demand Drive Costs Down? World War II as a Natural Experiment. The Journal of Economic History. 82(3). 727–764. 4 indexed citations

Pichler, Anton, et al.. (2021). The rise of science in low-carbon energy technologies. Renewable and Sustainable Energy Reviews. 139. 110654–110654. 27 indexed citations

10.

Mealy, Penny, et al.. (2021). Occupational mobility and automation: a data-driven network model. Journal of The Royal Society Interface. 18(174). 20200898–20200898. 33 indexed citations

11.

Pichler, Anton, et al.. (2021). In and out of Lockdown: Propagation of Supply and Demand Shocks in a Dynamic Input-Output Model. SSRN Electronic Journal. 12 indexed citations

12.

Pichler, Anton, et al.. (2020). Data Publication: The scientific knowledge base of low carbon energy technologies. PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations

13.

Lafond, François, et al.. (2020). Can Stimulating Demand Drive Costs Down? World War II as a Natural Experiment. SSRN Electronic Journal. 3 indexed citations

14.

Lafond, François, et al.. (2019). Long-run dynamics of the U.S. patent classification system. Journal of Evolutionary Economics. 29(2). 631–664. 19 indexed citations

15.

Mariani, Manuel Sebastian, Matúš Medo, & François Lafond. (2018). Early identification of important patents: Design and validation of citation network metrics. Technological Forecasting and Social Change. 146. 644–654. 47 indexed citations

16.

Lafond, François, et al.. (2017). How well do experience curves predict technological progress? A method for making distributional forecasts. Technological Forecasting and Social Change. 128. 104–117. 53 indexed citations

17.

Lafond, François & Daniel Kim. (2017). Long-Run Dynamics of the U.S. Patent Classification System. SSRN Electronic Journal. 3 indexed citations

18.

Farmer, J. Doyne & François Lafond. (2016). How predictable is technological progress?. Research Policy. 45(3). 647–665. 170 indexed citations

19.

Farmer, J. Doyne & François Lafond. (2015). How Predictable is Technological Progress?. SSRN Electronic Journal. 9 indexed citations

20.

Lafond, François. (2014). Self-organization of knowledge economies. Journal of Economic Dynamics and Control. 52. 150–165. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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