Luisa Fermo

34 papers receiving 450 citations

Peers

Luisa Fermo
Comparison fields: 5 of 72
  • Modeling and Simulation 158
  • Numerical Analysis 68
  • Statistical and Nonlinear Physics 118
  • Transportation 64
  • Applied Mathematics 79
Replace Giacomo Albi with:
Giacomo Albi Italy
Marie-Thérèse Wolfram United Kingdom
Jan‐Frederik Pietschmann Germany
Caibin Zeng China
Corrado Lattanzio Italy
Luisa Arlotti Italy
N. BELLOMO Italy
Marco Di Francesco Italy
Marco Caponigro France
Daniela Morale Italy
Luisa Fermo relative to Giacomo Albi Italy Giacomo Albi's profile →
Citations per field
00.5×
Giacomo Albi · 1×
Citations per year

Countries citing papers authored by Luisa Fermo

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Fermo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Luisa Fermo, 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 Luisa Fermo Line = papers co-authored together Luisa Fermo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019150
2 201156
3 201337
4 201335
5 201025
6 201424
7 201120
8 201115
9 202015
10 200914
11 202110
12 20159
13 20149
14
A projection method with smoothing transformation for second kind volterra integral equations
20217
15 20217
16 20197
17 20205
18 20185
19
Embedding theorems for functions with inner singularities
20095
20 20155

About Luisa Fermo

Luisa Fermo is a scholar working on Numerical Analysis, Modeling and Simulation, Applied Mathematics, Mathematical Physics and Mechanics of Materials, having authored 38 papers that have together received 494 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (12 papers), Numerical methods in engineering (9 papers), Mathematical functions and polynomials (8 papers), Numerical methods in inverse problems (7 papers), Electromagnetic Scattering and Analysis (7 papers), Iterative Methods for Nonlinear Equations (7 papers), Numerical methods for differential equations (6 papers) and Differential Equations and Boundary Problems (5 papers). The work is most often cited by research in Modeling and Simulation (158 citations), Numerical Analysis (68 citations), Statistical and Nonlinear Physics (118 citations), Transportation (64 citations) and Applied Mathematics (79 citations). Luisa Fermo has collaborated with scholars based in Italy, United States and Serbia. Frequent co-authors include Nicola Bellomo, Andrea Tosin, Elena De Angelis, Abdelghani Bellouquid, Giacomo Albi, Jeongho Kim, David Poyato, Seung‐Yeal Ha, Lorenzo Pareschi and Juan Soler. Their work appears in journals such as Applied Numerical Mathematics, Journal of Computational and Applied Mathematics, ETNA - Electronic Transactions on Numerical Analysis, Computers & Mathematics with Applications and Mathematical Models and Methods in Applied Sciences.

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.

Explore authors with similar magnitude of impact