Massimo Ancona

632 citations
67 papers · 373 · h-index 10

Impact in

Papers in

Massimo Ancona

56 papers receiving 337 citations

Peers

Massimo Ancona
Comparison fields: 5 of 74
  • Software 61
  • Hardware and Architecture 90
  • Conservation 28
  • Artificial Intelligence 148
  • Computer Networks and Communications 96
Replace Alberto José Proença with:
Alberto José Proença Portugal
Michael Meisinger United States
Pascal Raymond France
Tian Zhang China
Nicolas Rouquette United States
Changyou Zhang China
Haihang You China
Dennis Peters Canada
Haitao Huang Japan
Giorgio Delzanno Italy
Massimo Ancona relative to Alberto José Proença Portugal Alberto José Proença's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo Ancona

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Ancona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200794
2 200027
3 199025
4 199520
5 201219
6 199819
7 201417
8 198611
9
An “Internet of Things” Vision of the Flood Monitoring Problem
201511
10 20059
11
Design-Based Pointcuts Robustness Against Software Evolution
20067
12 20157
13 19996
14 20005
15 19815
16 19875
17 20045
18 19874
19 19824
20
Exploiting wireless networks for Virtual Archaeology: the Past Project
20024

About Massimo Ancona

Massimo Ancona is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture and Information Systems, having authored 67 papers that have together received 373 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Distributed systems and fault tolerance (11 papers), Advanced Software Engineering Methodologies (8 papers), Software Engineering Research (8 papers), Context-Aware Activity Recognition Systems (8 papers), Distributed and Parallel Computing Systems (7 papers), Embedded Systems Design Techniques (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Software (61 citations), Hardware and Architecture (90 citations), Conservation (28 citations), Artificial Intelligence (148 citations) and Computer Networks and Communications (96 citations). Massimo Ancona has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Nicholas D. Matsakis, Davide Ancona, V. Gianuzzi, Gabriella Dodero, Walter Cazzola, Piero Mirti, Andrea Clematis, Maurizio Aceto, Eduardo B. Fernández and Antonella Casoli. Their work appears in journals such as The Computer Journal, Archaeometry, Software Practice and Experience, Operations Research Letters and CALCOLO.

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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