J. Doyne Farmer
- Economics and Econometrics top 0.05%
- Statistical and Nonlinear Physics top 0.02%
- Computer Networks and Communications top 0.2%
- Finance top 0.2%
- Artificial Intelligence top 0.5%
- Co-authors
- Norman H. PackardJames P. CrutchfieldJohn J. SidorowichStephen EubankJames TheilerB. GaldrikianAndré LongtinFabrizio Lillo
- Topics
- Complex Systems and Time Series Analysis (77 papers)Financial Markets and Investment Strategies (28 papers)Economic theories and models (24 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
J. Doyne Farmer
161 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Economics and Econometrics 7.8k
- Statistical and Nonlinear Physics 6.3k
- Computer Networks and Communications 3.0k
- Finance 2.9k
- Artificial Intelligence 2.2k
Countries citing papers authored by J. Doyne Farmer
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 26 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 105 | |
| 11 | 53 | |
| 12 | Can Vis-NIR Reflectance Spectra be used to Assess Formation Environments of Opaline Silica on Mars? | 0 |
| 13 | 22 | |
| 14 | Impact-adjusted valuation and the criticality of leverage | 9 |
| 15 | Forecasting technological innovation | 1 |
| 16 | Science Priorities for Mars Astrobiology | 1 |
| 17 | 29 | |
| 18 | Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random Process | 2 |
| 19 | Prospecting for Modern and Ancient Hydrothermal Systems on Mars:Implications for Astrobiology and the Exploration for Past or Present Life | 1 |
| 20 | Potential Ancient Fluvial Deposits at the Amenthes Rupes Paleolake, Mars | 1 |
About J. Doyne Farmer
J. Doyne Farmer is a scholar working on Finance, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 176 papers that have together received 18.8k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (77 papers), Financial Markets and Investment Strategies (28 papers) and Economic theories and models (24 papers). The work is most often cited by research in Statistical and Nonlinear Physics (6.3k citations), Finance (2.9k citations) and Economics and Econometrics (7.8k citations). J. Doyne Farmer has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Norman H. Packard, James P. Crutchfield, John J. Sidorowich, Stephen Eubank, James Theiler, B. Galdrikian, André Longtin, Fabrizio Lillo, Duncan K. Foley and Edward Ott. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.