Manuela La Rosa

486 citations
41 papers · 359 indexed · h-index 11
Topics
Neural dynamics and brain function (12 papers)Advanced Sensor and Energy Harvesting Materials (9 papers)stochastic dynamics and bifurcation (7 papers)

In The Last Decade

Manuela La Rosa

38 papers receiving 345 citations

Peers

Manuela La Rosa
Comparison fields: 5 of 69
  • Biomedical Engineering 109
  • Statistical and Nonlinear Physics 101
  • Electrical and Electronic Engineering 90
  • Computer Networks and Communications 78
  • Cognitive Neuroscience 77
Replace Sergey Shchanikov with:
Sergey Shchanikov Russia
Chen Bai China
Hyeongsu Kim South Korea
Siyan Lin China
Xiaohui Tan China
Nathan McDonald United States
Wael Dghais Tunisia
Manuela La Rosa relative to Sergey Shchanikov Russia Sergey Shchanikov's profile →
Citations per field
00.5×10.9×
Sergey Shchanikov · 1×
Citations per year

Countries citing papers authored by Manuela La Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Manuela La Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuela La Rosa. 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 Manuela La Rosa. The network helps show where Manuela La Rosa may publish in the future.

Co-authorship network of co-authors of Manuela La Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela La Rosa. A scholar is included among the top collaborators of Manuela La Rosa 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 Manuela La Rosa. Manuela La Rosa 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
#WorkIndexed citations
1 1
2 1
3 8
4 1
5 2
6 10
7 4
8 4
9 4
10 30
11 13
12 3
13 10
14 3
15 8
16 13
17 3
18 12
19 44
20 47

About Manuela La Rosa

Manuela La Rosa is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Hematology, having authored 41 papers that have together received 359 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (101 citations), Cognitive Neuroscience (77 citations) and Polymers and Plastics (55 citations). Manuela La Rosa has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Luigi Fortuna, Maide Bucolo, Salvatore Graziani, Luigi G. Occhipinti, Giovanna Di Pasquale, Mattia Frasca, Daria Nicolosi, H.D.I. Abarbanel, Ramón Huerta and Alessandro Rizzo. Their work appears in journals such as Blood, International Journal of Molecular Sciences and Physics Letters A.

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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