Monica Bianchi
- Computational Theory and Mathematics top 0.5%
- Geometry and Topology top 1%
- Numerical Analysis top 1%
- Applied Mathematics top 2%
- Economics and Econometrics top 10%
- Co-authors
- Siegfried SchaibleR. PiniNicolas HadjisavvasG. KassayAnna TorrieroJosé Luis PalaciosI. V. KonnovRosanna Grassi
- Topics
- Optimization and Variational Analysis (33 papers)Contact Mechanics and Variational Inequalities (14 papers)Graph theory and applications (13 papers)
- Partner nations
- ItalyRomaniaUnited States
In The Last Decade
Monica Bianchi
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 64
- Computational Theory and Mathematics 1.1k
- Geometry and Topology 570
- Numerical Analysis 511
- Applied Mathematics 341
- Economics and Econometrics 110
Countries citing papers authored by Monica Bianchi
This map shows the geographic impact of Monica Bianchi'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 Monica Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Bianchi more than expected).
Fields of papers citing papers by Monica Bianchi
This network shows the impact of papers produced by Monica Bianchi. 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 Monica Bianchi. The network helps show where Monica Bianchi may publish in the future.
Co-authorship network of co-authors of Monica Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Monica Bianchi. A scholar is included among the top collaborators of Monica Bianchi 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 Monica Bianchi. Monica Bianchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | New upper and lower bounds for the additive degree-Kirchhoff index | 11 |
| 9 | Majorization under constraints and bounds of the second Zagreb index | 7 |
| 10 | Revisiting Bounds for the MultiplicativeDegree–Kirchhoff Index | 3 |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 6 | |
| 14 | 21 | |
| 15 | 13 | |
| 16 | 10 | |
| 17 | 74 | |
| 18 | 7 | |
| 19 | 265 | |
| 20 | 5 |
About Monica Bianchi
Monica Bianchi is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Numerical Analysis, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (33 papers), Contact Mechanics and Variational Inequalities (14 papers) and Graph theory and applications (13 papers). The work is most often cited by research in Numerical Analysis (511 citations), Computational Theory and Mathematics (1.1k citations) and Geometry and Topology (570 citations). Monica Bianchi has collaborated with scholars based in Italy, Romania and United States. Frequent co-authors include Siegfried Schaible, R. Pini, Nicolas Hadjisavvas, G. Kassay, Anna Torriero, José Luis Palacios, I. V. Konnov, Rosanna Grassi, Francesco Calderoni and Elena Molho. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Sciences and Nonlinear Analysis.
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.