Federica Russo

76 papers receiving 1.7k citations

Hit Papers

Critical data studies: An introduction 2016 · 274 citations
274201620262019202250100150200250

Peers

Federica Russo
Comparison fields: 5 of 160
  • History and Philosophy of Science 412
  • Health Informatics 28
  • General Decision Sciences 35
  • Family Practice 39
  • Statistics and Probability 140
Replace Jon Williamson with:
Jon Williamson United Kingdom
Heather Douglas Australia
Daniel Steel United States
Julian Reiss United Kingdom
Uri Nodelman United States
Petri Ylikoski Finland
William J. Broad United Kingdom
T. D. Sterling Canada
Brian D. Haig New Zealand
Sven Ove Hansson Sweden
Federica Russo relative to Jon Williamson United Kingdom Jon Williamson's profile →
Citations per field
00.5×
Jon Williamson · 1×
Citations per year

Countries citing papers authored by Federica Russo

Since Specialization
Citations

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

Fields of papers citing papers by Federica Russo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica Russo. 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 Federica Russo. The network helps show where Federica Russo may publish in the future.

Co-authors

The 25 scholars most cited alongside Federica Russo, 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 Federica Russo Line = papers co-authored together Federica Russo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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The issue of control in multivariate systems A contribution of structural modelling
20151
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Inferrig Causal Relations by Modelling Structure
20103
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Causal Arrows in Econometric Models
20092
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About Federica Russo

Federica Russo is a scholar working on History and Philosophy of Science, Statistics, Probability and Uncertainty, Health Informatics, Statistics and Probability and Pharmacy, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Philosophy and History of Science (29 papers), Bayesian Modeling and Causal Inference (18 papers), Qualitative Comparative Analysis Research (11 papers), Health, Environment, Cognitive Aging (7 papers), Meta-analysis and systematic reviews (5 papers), Race, Genetics, and Society (5 papers), Health Policy Implementation Science (4 papers) and Ethics and Social Impacts of AI (4 papers). The work is most often cited by research in History and Philosophy of Science (412 citations), Health Informatics (28 citations), General Decision Sciences (35 citations), Family Practice (39 citations) and Statistics and Probability (140 citations). Federica Russo has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Jon Williamson, Andrew Iliadis, Phyllis Illari, Brendan Clarke, Guillaume Wunsch, Donald Gillies, Michael P. Kelly, Michel Mouchart, Judith Schoonenboom and R. Burke Johnson. Their work appears in journals such as European Journal for Philosophy of Science, International Studies in the Philosophy of Science, Topoi, Perspectives in biology and medicine and Philosophy & Technology.

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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