Ivan Franceschini

570 citations
40 papers · 275 · h-index 9

Impact in

Papers in

Ivan Franceschini

30 papers receiving 245 citations

Peers

Ivan Franceschini
Comparison fields: 5 of 47
  • Public Administration 41
  • Political Science and International Relations 171
  • Development 20
  • Sociology and Political Science 176
  • Anthropology 24
Replace Daniel Maul with:
Daniel Maul Germany
Steven C. McKay United States
Glenn Adler South Africa
Parris H. Chang United States
Leo F. Goodstadt Ireland
Didier Chabanet France
Carl F. Minzner United States
Thomas Davies United Kingdom
Dario Azzellini United States
Ivan Franceschini relative to Daniel Maul Germany Daniel Maul's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Franceschini

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Franceschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Ivan Franceschini, 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 Ivan Franceschini Line = papers co-authored together Ivan Franceschini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 202246
3 201446
4 201629
5 202318
6 202012
7 20189
8 20209
9 20198
10
Afterlives of Chinese Communism
20197
11 20145
12 20245
13 20174
14 20173
15 20203
16 20213
17 20202
18 20212
19 20162
20 20172

About Ivan Franceschini

Ivan Franceschini is a scholar working on Sociology and Political Science, Political Science and International Relations, Strategy and Management, Anthropology and Public Administration, having authored 40 papers that have together received 275 indexed citations. Recurring topics across this work include China's Socioeconomic Reforms and Governance (10 papers), Chinese history and philosophy (4 papers), China's Ethnic Minorities and Relations (3 papers), Labor Movements and Unions (3 papers), China's Global Influence and Migration (2 papers), Global trade, sustainability, and social impact (2 papers), Sex work and related issues (2 papers) and Hong Kong and Taiwan Politics (2 papers). The work is most often cited by research in Public Administration (41 citations), Political Science and International Relations (171 citations), Development (20 citations), Sociology and Political Science (176 citations) and Anthropology (24 citations). Ivan Franceschini has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include Nicholas Loubere, Anita Chan, Kaxton Siu, Ling Li, Christian Sorace, Marcel LaFlamme, Simon Batterbury, Kevin Lin and Sevasti‐Melissa Nolas. Their work appears in journals such as Critical Asian Studies, The China Journal, China Perspectives, Journal of Contemporary Asia and Pacific Affairs.

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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