J. Doyne Farmer

29.0k total citations · 9 hit papers
176 papers, 18.8k citations indexed

About

J. Doyne Farmer is a scholar working on Economics and Econometrics, Finance and Statistical and Nonlinear Physics. According to data from OpenAlex, J. Doyne Farmer has authored 176 papers receiving a total of 18.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Economics and Econometrics, 62 papers in Finance and 30 papers in Statistical and Nonlinear Physics. Recurrent topics in J. Doyne Farmer's work include Complex Systems and Time Series Analysis (77 papers), Financial Markets and Investment Strategies (28 papers) and Economic theories and models (24 papers). J. Doyne Farmer is often cited by papers focused on Complex Systems and Time Series Analysis (77 papers), Financial Markets and Investment Strategies (28 papers) and Economic theories and models (24 papers). J. Doyne Farmer collaborates with scholars based in United States, United Kingdom and Italy. J. Doyne Farmer's co-authors include Norman H. Packard, James P. Crutchfield, John J. Sidorowich, Stephen Eubank, James Theiler, André Longtin, B. Galdrikian, Fabrizio Lillo, Duncan K. Foley and Edward Ott and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. Doyne Farmer

161 papers receiving 17.7k citations

Hit Papers

Geometry from a Time Series 1980 2026 1995 2010 1980 1992 1987 1983 2009 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Doyne Farmer United States 53 7.8k 6.3k 3.0k 2.9k 2.2k 176 18.8k
Luı́s A. Nunes Amaral United States 67 8.1k 1.0× 8.7k 1.4× 1.9k 0.6× 2.2k 0.8× 2.5k 1.1× 205 33.8k
Rosario N. Mantegna Italy 50 9.6k 1.2× 5.7k 0.9× 1.3k 0.4× 4.7k 1.6× 864 0.4× 170 15.1k
Didier Sornette Switzerland 81 11.0k 1.4× 4.8k 0.8× 1.1k 0.4× 5.1k 1.7× 2.5k 1.2× 786 24.7k
Sergey V. Buldyrev United States 80 6.7k 0.9× 9.6k 1.5× 3.0k 1.0× 1.3k 0.4× 1.1k 0.5× 330 30.7k
Peter Grassberger Germany 66 5.8k 0.7× 10.8k 1.7× 3.9k 1.3× 393 0.1× 3.1k 1.4× 269 27.4k
Shlomo Havlin Israel 110 11.6k 1.5× 27.3k 4.3× 7.5k 2.5× 2.0k 0.7× 2.8k 1.3× 704 57.1k
János Kertész Hungary 52 2.3k 0.3× 5.7k 0.9× 1.2k 0.4× 767 0.3× 1.0k 0.5× 237 12.1k
Hölger Kantz Germany 45 2.7k 0.4× 4.8k 0.8× 2.0k 0.7× 315 0.1× 1.2k 0.5× 230 10.0k
Thomas Schreiber Germany 34 2.9k 0.4× 3.4k 0.5× 1.4k 0.5× 228 0.1× 1.5k 0.7× 81 10.6k
Kimmo Kaski Finland 55 1.8k 0.2× 4.5k 0.7× 1.1k 0.3× 480 0.2× 954 0.4× 375 12.2k

Countries citing papers authored by J. Doyne Farmer

Since Specialization
Citations

This map shows the geographic impact of J. Doyne Farmer'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 J. Doyne Farmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Doyne Farmer more than expected).

Fields of papers citing papers by J. Doyne Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Doyne Farmer. 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 J. Doyne Farmer. The network helps show where J. Doyne Farmer may publish in the future.

Co-authorship network of co-authors of J. Doyne Farmer

This figure shows the co-authorship network connecting the top 25 collaborators of J. Doyne Farmer. A scholar is included among the top collaborators of J. Doyne Farmer 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 J. Doyne Farmer. J. Doyne Farmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Farmer, J. Doyne, John Geanakoplos, Matteo Richiardi, et al.. (2024). Discounting the Distant Future: What Do Historical Bond Prices Imply about the Long-Term Discount Rate?. Mathematics. 12(5). 645–645.
2.
Farmer, J. Doyne. (2024). Making Sense of Chaos. Yale University Press eBooks.
3.
Calinescu, Anisoara, et al.. (2023). BlackBIRDS: Black-Box Inference foR DifferentiableSimulators. The Journal of Open Source Software. 8(89). 5776–5776. 1 indexed citations
4.
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
5.
Masoliver, Jaume, Miquel Montero, Josep Maria Mata Perelló, J. Doyne Farmer, & John Geanakoplos. (2022). Valuing the Future and Discounting in Random Environments: A Review. Entropy. 24(4). 496–496. 4 indexed citations
6.
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
7.
Mealy, Penny, J. Doyne Farmer, & Alexander Teytelboym. (2019). Interpreting economic complexity. Science Advances. 5(1). eaau1705–eaau1705. 105 indexed citations
8.
Robertson, Kevin M., R. E. Milliken, Steven W. Ruff, J. Doyne Farmer, & Everett L. Shock. (2013). Can Vis-NIR Reflectance Spectra be used to Assess Formation Environments of Opaline Silica on Mars?. Lunar and Planetary Science Conference. 1612.
9.
Farmer, J. Doyne. (2012). Science Priorities for Mars Astrobiology. 1679. 4304. 1 indexed citations
10.
Núñez, Jorge I., J. Doyne Farmer, R. Glenn Sellar, et al.. (2010). The Multispectral Microscopic Imager (MMI) and the Mars Microbeam Raman Spectrometer (MMRS): An Integrated Payload for the In-Situ Exploration of Past and Present Habitable Environments on Mars. 1538. 5458. 2 indexed citations
11.
Núñez, Jorge I., et al.. (2009). The Multispectral Microscopic Imager (MMI) with Improved Spectral Range and Resolution. LPI. 1830. 2 indexed citations
12.
Moro, Esteban, Luis G. Moyano, Austin Gerig, et al.. (2009). Market Impact and Trading Profile of Large Trading Orders in Stock Markets. SSRN Electronic Journal. 2 indexed citations
13.
Blake, D. F., D. T. Vaniman, R. Anderson, et al.. (2009). The CheMin Mineralogical Instrument on the Mars Science Laboratory Mission. Lunar and Planetary Science Conference. 1484. 11 indexed citations
14.
Sellar, R. Glenn, J. Doyne Farmer, & M. S. Robinson. (2008). Multispectral Hand Lens and Field Microscope. LPICo. 1446. 121.
15.
Sellar, R. Glenn, et al.. (2007). Improved Spectrometric Capabilities for In-Situ Microscopic Imagers. LPICo. 1353. 3017. 1 indexed citations
16.
Bell, J. F., J. Doyne Farmer, W. H. Farrand, et al.. (2006). Surface Coatings at Meridiani Planum, Mars. 37th Annual Lunar and Planetary Science Conference. 2040. 1 indexed citations
17.
Lillo, Fabrizio, J. Doyne Farmer, & Rosario N. Mantegna. (2003). Master curve for price-impact function. Nature. 421(6919). 129–130. 265 indexed citations
18.
Farmer, J. Doyne. (2002). Prospecting for Modern and Ancient Hydrothermal Systems on Mars:Implications for Astrobiology and the Exploration for Past or Present Life. AGUFM. 2002. 1 indexed citations
19.
Farmer, J. Doyne, et al.. (2001). Hydrologic History of South Elysium Basin-North Terra Cimmeria Area, Mars. Lunar and Planetary Science Conference. 2069. 2 indexed citations
20.
Greeley, R., et al.. (2000). Potential Ancient Fluvial Deposits at the Amenthes Rupes Paleolake, Mars. Lunar and Planetary Science Conference. 1158. 1 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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