Laura Montefusco

54 papers receiving 1.3k citations

Hit Papers

The anti-inflammatory and immunological properties of GLP...2022202620232024202250100150200

Peers

Laura Montefusco
Comparison fields: 5 of 149
  • Endocrinology, Diabetes and Metabolism 430
  • Computer Vision and Pattern Recognition 313
  • Computational Mechanics 269
  • Surgery 192
  • Molecular Biology 168
Replace De-Xing Kong with:
De-Xing Kong China
Jiang Zhu China
John R. Higgins Ireland
Patrick Clarysse France
Yuanmin Li China
Florian Knöll United States
François Lauze Denmark
Robert J. Holt United States
Yung‐Chang Chen Taiwan
Jan J. Gerbrands Netherlands
Laura Montefusco relative to De-Xing Kong China De-Xing Kong's profile →
Citations per field
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De-Xing Kong · 1×
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Countries citing papers authored by Laura Montefusco

Since Specialization
Citations

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

Fields of papers citing papers by Laura Montefusco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Montefusco

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Montefusco. A scholar is included among the top collaborators of Laura Montefusco 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 Laura Montefusco. Laura Montefusco 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 6
3 1
4 29
5 24
6
The anti-inflammatory and immunological properties of GLP-1 Receptor Agonistsbreakdown →
217
7 5
8 5
9 18
10 18
11 34
12 17
13 16
14 28
15 5
16 41
17 10
18 11
19 7
20
Wavelets : theory, algorithms, and applications
146

About Laura Montefusco

Laura Montefusco is a scholar working on Computational Mathematics, Endocrinology, Diabetes and Metabolism and Computational Mechanics, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (12 papers), Advanced Numerical Analysis Techniques (8 papers) and Sparse and Compressive Sensing Techniques (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (430 citations), Computer Vision and Pattern Recognition (313 citations) and Computational Mechanics (269 citations). Laura Montefusco has collaborated with scholars based in Italy, United States and Egypt. Frequent co-authors include Damiana Lazzaro, Luigia Puccio, Charles K. Chui, Paolo Fiorina, Maria Elena Lunati, Ida Pastore, Mariantonia Cotronei, Giulio Casciola, Gianvincenzo Zuccotti and Moufida Ben Nasr. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

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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