Jeff Alstott
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- stochastic dynamics and bifurcation
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
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- Intellectual Property and Patents 3
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- Complex Network Analysis Techniques 4
- Co-authors
- Edward T. BullmoreDietmar PlenzTom HolroydMarie L. SmithOren ShrikiRichard CoppolaFrederick W. CarverRichard N. Henson
- Journals
- PLoS ONE (3 papers)Journal of Complex Networks (1 paper)Scientific Reports (1 paper)Behavioural Brain Research (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Jeff Alstott
19 papers receiving 978 citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Statistical and Nonlinear Physics 286
- Cognitive Neuroscience 304
- Transportation 61
- Cellular and Molecular Neuroscience 87
- Economics and Econometrics 106
Countries citing papers authored by Jeff Alstott
This map shows the geographic impact of Jeff Alstott'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 Jeff Alstott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Alstott more than expected).
Fields of papers citing papers by Jeff Alstott
This network shows the impact of papers produced by Jeff Alstott. 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 Jeff Alstott. The network helps show where Jeff Alstott may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Jeff Alstott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | Estimating technology performance improvement rates by mining patent data | 2020 | 2 |
| 3 | 2020 | 18 | |
| 4 | 2019 | 7 | |
| 5 | 2018 | 8 | |
| 6 | 2017 | 1 | |
| 7 | 2017 | 1 | |
| 8 | 2015 | 8 | |
| 9 | Mapping Technology Space by Normalizing Technology Relatedness Networks. | 2015 | 5 |
| 10 | 2015 | 5 | |
| 11 | 2014 | 46 | |
| 12 | powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions Hit paper breakdown → | 2014 | 596 |
| 13 | 2014 | 25 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 221 | |
| 16 | 2013 | 9 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 2 | |
| 19 | 2008 | 40 | |
| 20 | Security, Information, and Memory Determine Locomotor Exploration in Rattus Norvegicus | 2007 | 2 |
About Jeff Alstott
Jeff Alstott is a scholar working on Management of Technology and Innovation, Statistical and Nonlinear Physics, Communication, Cognitive Neuroscience and Strategy and Management, having authored 21 papers that have together received 999 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Innovation and Knowledge Management (5 papers), Innovation Diffusion and Forecasting (4 papers), Complex Network Analysis Techniques (4 papers), Functional Brain Connectivity Studies (4 papers), Social Media and Politics (3 papers), Intellectual Property and Patents (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (286 citations), Cognitive Neuroscience (304 citations), Transportation (61 citations), Cellular and Molecular Neuroscience (87 citations) and Economics and Econometrics (106 citations). Jeff Alstott has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Edward T. Bullmore, Dietmar Plenz, Tom Holroyd, Marie L. Smith, Oren Shriki, Richard Coppola, Frederick W. Carver, Richard N. Henson, William Timberlake and Giorgio Triulzi. Their work appears in journals such as PLoS ONE, Journal of Complex Networks, Scientific Reports, Behavioural Brain Research and Journal of Neuroscience.
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.