Pietro Tebaldi

817 citations
9 papers · 170 · 1 hit paper · h-index 5

Impact in

Papers in

Pietro Tebaldi

9 papers receiving 164 citations

Pietro Tebaldi's Hit Papers

Centrality measures in networks 2023 · 91 citations
910+1+2Years since publication255075

Peers

Pietro Tebaldi
Comparison fields: 5 of 78
  • Statistical and Nonlinear Physics 27
  • Economics and Econometrics 55
  • General Health Professions 26
  • General Decision Sciences 2
  • Management Science and Operations Research 12
Replace Chryssi Giannitsarou with:
Chryssi Giannitsarou United Kingdom
Feng Yi China
Giulia Berlusconi Italy
Zhentao Shi Hong Kong
Jan Gerrit Göbel Germany
John Marriott United Kingdom
Paul Donner Germany
Tiemen M. Woutersen United States
Brian Nichiporuk United States
Luca Verginer Switzerland
Pietro Tebaldi relative to Chryssi Giannitsarou United Kingdom Chryssi Giannitsarou's profile →
Citations per field
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Chryssi Giannitsarou · 1×
Citations per year

Countries citing papers authored by Pietro Tebaldi

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Tebaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Pietro Tebaldi, 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 Pietro Tebaldi Line = papers co-authored together Pietro Tebaldi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Centrality measures in networks
Hit paper breakdown →
202391
2 202324
3 201522
4 202312
5 20189
6 20115
7 20244
8 20232
9 20201

About Pietro Tebaldi

Pietro Tebaldi is a scholar working on Economics and Econometrics, General Health Professions, Safety Research, Statistics and Probability and Geometry and Topology, having authored 9 papers that have together received 170 indexed citations. Recurring topics across this work include Healthcare Policy and Management (6 papers), Global Health Care Issues (4 papers), Primary Care and Health Outcomes (3 papers), Healthcare cost, quality, practices (2 papers), Economic theories and models (1 paper), Data-Driven Disease Surveillance (1 paper), Opinion Dynamics and Social Influence (1 paper) and Game Theory and Applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (27 citations), Economics and Econometrics (55 citations), General Health Professions (26 citations), General Decision Sciences (2 citations) and Management Science and Operations Research (12 citations). Pietro Tebaldi has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Francis Bloch, Matthew O. Jackson, Mark Duggan, Abe C. Dunn, Pierpaolo Battigalli, Adam Hale Shapiro, Joshua D. Gottlieb, Alexander Torgovitsky, Hanbin Yang and Marco Bonetti. Their work appears in journals such as Econometrica, The Quarterly Journal of Economics, The Review of Economic Studies, The Stata Journal Promoting communications on statistics and Stata and American Economic Review.

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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