Daniel L. Goroff

3.0k citations
9 papers · 104 · h-index 6

Impact in

Papers in

Daniel L. Goroff

9 papers receiving 92 citations

Peers

Daniel L. Goroff
Comparison fields: 5 of 51
  • Statistical and Nonlinear Physics 21
  • Mathematical Physics 14
  • Safety Research 11
  • Statistics, Probability and Uncertainty 7
  • Management of Technology and Innovation 6
Replace Fabio Privileggi with:
Fabio Privileggi Italy
Liang-Cheng Zhang United States
Graham Little United Kingdom
David D. McFarland United States
Piotr Miłoś Poland
Ronald Shone United Kingdom
Kevin Burke Ireland
Asif Khan China
Aditya Goenka United Kingdom
Corrado Gini Italy
Daniel L. Goroff relative to Fabio Privileggi Italy Fabio Privileggi's profile →
Citations per field
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Fabio Privileggi · 1×
Citations per year

Countries citing papers authored by Daniel L. Goroff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Goroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Goroff. 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 Daniel L. Goroff. The network helps show where Daniel L. Goroff may publish in the future.

Co-authors

The 19 scholars most cited alongside Daniel L. Goroff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel L. Goroff Line = papers co-authored together Daniel L. Goroff links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About Daniel L. Goroff

Daniel L. Goroff is a scholar working on Sociology and Political Science, Artificial Intelligence, Management Science and Operations Research, Astronomy and Astrophysics and Mathematical Physics, having authored 9 papers that have together received 104 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Survey Methodology and Nonresponse (2 papers), Decision-Making and Behavioral Economics (1 paper), Complex Systems and Time Series Analysis (1 paper), Financial Markets and Investment Strategies (1 paper), Quantum chaos and dynamical systems (1 paper), Access Control and Trust (1 paper) and Ethics and Social Impacts of AI (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (21 citations), Mathematical Physics (14 citations), Safety Research (11 citations), Statistics, Probability and Uncertainty (7 citations) and Management of Technology and Innovation (6 citations). Daniel L. Goroff has collaborated with scholars based in United States. Frequent co-authors include Richard B. Freeman, Erica L. Groshen, Jules Polonetsky, Omer Tene, Vijay S. Bawa, Ward Whitt, David C. Wilson, Tasha S. Philpot, Courtney Kennedy and John S. Lapinski. Their work appears in journals such as Journal of Economic Theory, The Annals of the American Academy of Political and Social Science, Ergodic Theory and Dynamical Systems, Science and SHILAP Revista de lepidopterología.

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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