F. Giannessi

4.2k citations
97 papers · 3.4k · h-index 27

Impact in

Papers in

F. Giannessi

93 papers receiving 3.2k citations

Peers

F. Giannessi
Comparison fields: 5 of 151
  • Numerical Analysis 1.6k
  • Computational Theory and Mathematics 2.7k
  • Geometry and Topology 499
  • Applied Mathematics 464
  • Civil and Structural Engineering 480
Replace Johannes Jahn with:
Johannes Jahn Germany
Richard Vinter United Kingdom
Nan‐jing Huang China
Vladimir L. Kharitonov Mexico
Keqin Gu United States
C.J. Goh Australia
Chong Li China
Johannes Schumacher Netherlands
Yu. S. Ledyaev Russia
Marc Quincampoix France
F. Giannessi relative to Johannes Jahn Germany Johannes Jahn's profile →
Citations per field
00.5×2.5×
Johannes Jahn · 1×
Citations per year

Countries citing papers authored by F. Giannessi

Since Specialization
Citations

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

Fields of papers citing papers by F. Giannessi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Giannessi, 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 F. Giannessi Line = papers co-authored together F. Giannessi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995464
2 2004299
3 2003226
4 1998161
5 1984149
6 2005145
7 1996144
8 1998133
9 1984132
10 1989127
11 2011126
12 2000108
13 200484
14 200581
15 200671
16 200062
17 200560
18 198952
19
Regularization of non-coercive quasi variational inequalities
200049
20 200844

About F. Giannessi

F. Giannessi is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Civil and Structural Engineering, Cell Biology and Physiology, having authored 97 papers that have together received 3.4k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (36 papers), Advanced Optimization Algorithms Research (27 papers), Contact Mechanics and Variational Inequalities (15 papers), Topology Optimization in Engineering (10 papers), Matrix Theory and Algorithms (4 papers), Medical Image Segmentation Techniques (3 papers), Transportation Planning and Optimization (3 papers) and Aerospace Engineering and Control Systems (3 papers). The work is most often cited by research in Numerical Analysis (1.6k citations), Computational Theory and Mathematics (2.7k citations), Geometry and Topology (499 citations), Applied Mathematics (464 citations) and Civil and Structural Engineering (480 citations). F. Giannessi has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Andrea Maugeri, Antonino Maugeri, Gianni Di Pillo, Pãnos M. Pardalos, Giandomenico Mastroeni, Patrizia Daniele, Letizia Pellegrini, V. F. Demyanov, Tamás Rapcsák and Sándor Komlósi. Their work appears in journals such as Journal of Optimization Theory and Applications, Journal of Global Optimization, European Journal of Operational Research, Engineering Structures and CALCOLO.

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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