Sara Montagna

1.8k total citations
66 papers, 974 citations indexed

About

Sara Montagna is a scholar working on Molecular Biology, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Sara Montagna has authored 66 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Mechanical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Sara Montagna's work include Modular Robots and Swarm Intelligence (17 papers), Gene Regulatory Network Analysis (13 papers) and Context-Aware Activity Recognition Systems (9 papers). Sara Montagna is often cited by papers focused on Modular Robots and Swarm Intelligence (17 papers), Gene Regulatory Network Analysis (13 papers) and Context-Aware Activity Recognition Systems (9 papers). Sara Montagna collaborates with scholars based in Italy, United Kingdom and Switzerland. Sara Montagna's co-authors include Mirko Viroli, Alessandro Ricci, Angelo Croatti, Matteo Gabellini, Danilo Pianini, Giovanna Di Marzo Serugendo, Jose Luis Fernandez-Marquez, Franco Zambonelli, Josep Lluís Arcos and Stefano Mariani and has published in prestigious journals such as Journal of Hypertension, Cells and Computer Methods and Programs in Biomedicine.

In The Last Decade

Sara Montagna

61 papers receiving 956 citations

Peers

Sara Montagna
Comparison fields: 5 of 119
  • Computer Networks and Communications 310
  • Mechanical Engineering 275
  • Industrial and Manufacturing Engineering 228
  • Artificial Intelligence 200
  • Information Systems 133
Replace Paulo Gonçalves with:
Paulo Gonçalves Portugal
Edson Prestes Brazil
Hussain AlSalman Saudi Arabia
Dipankar Dasgupta United States
Jong Yun Lee South Korea
Ravie Chandren Muniyandi Malaysia
Yaodong Yang China
Lukas Esterle Denmark
Camelia Chira Romania
Hani Alquhayz Saudi Arabia
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Citations per field, relative to Sara Montagna
Sara Montagna · 1×
Citations per year, relative to Sara Montagna
Sara Montagna · 1×

Countries citing papers authored by Sara Montagna

Since Specialization
Citations

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

Fields of papers citing papers by Sara Montagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Montagna

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Montagna. A scholar is included among the top collaborators of Sara Montagna 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 Sara Montagna. Sara Montagna 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
# Work Indexed citations
1 1
2 1
3 6
4 0
5 0
6 0
7 4
8 21
9 8
10 34
11 1
12 24
13 1
14 19
15
Towards the Adoption of Agent-Based Modelling and Simulation in Mobile Health Systems for the Self-Management of Chronic Diseases.
1
16 3
17 9
18
An Agent-based Model for the Pattern Formation in Drosophila Melanogaster
1
19 2
20 10

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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