Massimo Franceschet

2.3k citations
59 papers · 1.4k indexed · h-index 17

Impact in

Papers in

Massimo Franceschet

54 papers receiving 1.3k citations

Peers

Massimo Franceschet
Comparison fields: 5 of 147
  • Statistics, Probability and Uncertainty 465
  • Statistical and Nonlinear Physics 214
  • Information Systems and Management 105
  • Information Systems 278
  • Computer Science Applications 63
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Citations per year

Countries citing papers authored by Massimo Franceschet

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Franceschet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Massimo Franceschet, 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 Massimo Franceschet Line = papers co-authored together Massimo Franceschet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2
202163
3
20202
4 20200
5 20207
6
Quantifying the long-term influence of scientific publications.
20191
7 20180
8 20172
9 20178
10 20166
11 201514
12
Effective and efficient
20125
13
PageRank: Stand on the shoulders of giants
20102
14
Bibliometrics in a nutshell
20083
15 200612
16
On the Complexity of hybrid logics with binders
200522
17
XpathMark: an Xpath benchmark for XMark
20056
18 200536
19 20053
20
Model Checking for combined logics
20009

About Massimo Franceschet

Massimo Franceschet is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics and Visual Arts and Performing Arts, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (18 papers), scientometrics and bibliometrics research (14 papers), Semantic Web and Ontologies (14 papers), Logic, programming, and type systems (13 papers), Complex Network Analysis Techniques (12 papers), Formal Methods in Verification (11 papers), Advanced Database Systems and Queries (10 papers) and Web visibility and informetrics (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (465 citations), Statistical and Nonlinear Physics (214 citations), Information Systems and Management (105 citations), Information Systems (278 citations) and Computer Science Applications (63 citations). Massimo Franceschet has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Antonio Costantini, Maarten de Rijke, Enrico Bozzo, Angelo Montanari, Giovanni Colavizza, Balder ten Cate, Iliano Cervesato, M. Marx, Jonathan A. Perkins and Bernd–Holger Schlingloff. Their work appears in journals such as Journal of Informetrics, Communications of the ACM, Journal of Quantitative Analysis in Sports, Information Processing & Management and Journal of Applied Logic.

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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