Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Massimo Marchiori
Since
Specialization
Citations
This map shows the geographic impact of Massimo Marchiori'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 Marchiori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Marchiori more than expected).
Fields of papers citing papers by Massimo Marchiori
This network shows the impact of papers produced by Massimo Marchiori. 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 Marchiori. The network helps show where Massimo Marchiori may publish in the future.
Co-authorship network of co-authors of Massimo Marchiori
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Marchiori.
A scholar is included among the top collaborators of Massimo Marchiori based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Massimo Marchiori. Massimo Marchiori is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Marchiori, Massimo, Francisco José Domínguez Mayo, & Joaquim Filipe. (2023). Web Information Systems and Technologies. Lecture notes in business information processing.
Marchiori, Massimo, et al.. (2007). Web reasoning and rule systems : First International Conference, RR 2007 Innsbruck, Austria, June 7-8, 2007 : proceedings. Springer eBooks.1 indexed citations
8.
Crucitti, Paolo, Vito Latora, Massimo Marchiori, & Andrea Rapisarda. (2004). Error and Attack Tolerance of Complex Networks. RePEc: Research Papers in Economics.
Marchiori, Massimo & Vito Latora. (2000). Harmony in the small-world. Physica A Statistical Mechanics and its Applications. 285(3-4). 539–546.207 indexed citations
16.
Kok, Joost N., Elena Marchiori, Massimo Marchiori, & Claudio Rossi. (1996). Evolutionary training of CLP-constrained neural networks. Research Padua Archive (University of Padua).7 indexed citations
17.
Kok, Joost N., Elena Marchiori, Massimo Marchiori, & Claudio Rossi. (1996). Constraining of weights using regularities.. The European Symposium on Artificial Neural Networks.3 indexed citations
Marchiori, Massimo. (1994). Modularity of UN-> for left-linear term rewriting systems. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–11.3 indexed citations
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.