R. Pini

1.3k citations
51 papers · 884 · h-index 14

Impact in

Papers in

R. Pini

48 papers receiving 808 citations

Peers

R. Pini
Comparison fields: 5 of 54
  • Numerical Analysis 341
  • Computational Theory and Mathematics 733
  • Geometry and Topology 305
  • Applied Mathematics 357
  • Mathematical Physics 39
Replace G. Kassay with:
G. Kassay Romania
Александр Давидович Иоффе Israel
Lai-Jiu Lin Taiwan
E Tarafdar Australia
C. Gutiérrez Spain
Seppo Heikkilä Finland
Adam B. Levy United States
Xi Yin Zheng China
Halina Frankowska France
Szymon Dolecki France
R. Pini relative to G. Kassay Romania G. Kassay's profile →
Citations per field
00.5×1.5×
G. Kassay · 1×
Citations per year

Countries citing papers authored by R. Pini

Since Specialization
Citations

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

Fields of papers citing papers by R. Pini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside R. Pini, 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 R. Pini Line = papers co-authored together R. Pini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991139
2 200587
3 200574
4 200665
5 199763
6 200363
7 200159
8 200657
9 200139
10 199438
11 200638
12 200921
13 200913
14 200813
15 200710
16 19978
17 20027
18 19997
19 20126
20 20136

About R. Pini

R. Pini is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Numerical Analysis, Mathematical Physics and Geometry and Topology, having authored 51 papers that have together received 884 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (34 papers), Advanced Optimization Algorithms Research (15 papers), Fixed Point Theorems Analysis (11 papers), Contact Mechanics and Variational Inequalities (9 papers), Nonlinear Partial Differential Equations (7 papers), Nonlinear Differential Equations Analysis (6 papers), Numerical methods in inverse problems (6 papers) and Topology Optimization in Engineering (6 papers). The work is most often cited by research in Numerical Analysis (341 citations), Computational Theory and Mathematics (733 citations), Geometry and Topology (305 citations), Applied Mathematics (357 citations) and Mathematical Physics (39 citations). R. Pini has collaborated with scholars based in Italy, Romania and United States. Frequent co-authors include Monica Bianchi, G. Kassay, Chanchal Singh, Morgan A Hanson, Jorge Mateu, Emilio Porcu, I. V. Konnov, Nicolas Hadjisavvas, Zoltán M. Balogh and Siegfried Schaible. Their work appears in journals such as Optimization, Journal of Global Optimization, Set-Valued and Variational Analysis, Journal of Optimization Theory and Applications and Journal of Mathematical Analysis and Applications.

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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