Daniel L. Goroff

13 papers receiving 1.8k citations

Daniel L. Goroff's Hit Papers

Promoting an open research culture 2015 · 1.8k citations
1.8k0+3+7Years since publication50010001.5k

Peers

Daniel L. Goroff
Comparison fields: 5 of 173
  • Statistics, Probability and Uncertainty 474
  • Information Systems and Management 342
  • Health Informatics 24
  • General Decision Sciences 28
  • Applied Psychology 61
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G. J. Chin United States
George Charles Alter United States
Mónica Contestabile South Africa
Sara D. Bowman United States
Stuart Buck United States
Temina Madon United States
Tom Elis Hardwicke United States
Garret Christensen United States
Chris Hubertus Joseph Hartgerink Netherlands
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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 24 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

13 of 13 papers shown
#Work
1
Promoting an open research culture
Hit paper breakdown →
20151750
2
Science and Engineering Careers in the United States: An Analysis of Markets and Employment
200952
3 200936
4 198520
5 201518
6 202312
7 201710
8 20229
9 19833
10 19863
11 19802
12
Henri Poincaré: New methods of celestial mechanics.
19931
13 20091

About Daniel L. Goroff

Daniel L. Goroff is a scholar working on Management Science and Operations Research, General Decision Sciences, Sociology and Political Science, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Survey Methodology and Nonresponse (2 papers), Complex Systems and Time Series Analysis (1 paper), Economic theories and models (1 paper), Cryptography and Data Security (1 paper), Ethics and Social Impacts of AI (1 paper), demographic modeling and climate adaptation (1 paper) and Academic Publishing and Open Access (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (474 citations), Information Systems and Management (342 citations), Health Informatics (24 citations), General Decision Sciences (28 citations) and Applied Psychology (61 citations). Daniel L. Goroff has collaborated with scholars based in United States. Frequent co-authors include Richard B. Freeman, Richard B. Freeman, Erica L. Groshen, Omer Tene, Jules Polonetsky, Vijay S. Bawa, Tasha S. Philpot, Jill A. Dever, Lynn Vavreck and Ashley Amaya. Their work appears in journals such as Science, Journal of Economic Theory, Ergodic Theory and Dynamical Systems, The Annals of the American Academy of Political and Social Science and Lecture notes in economics and mathematical systems.

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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