F. Sargeni

47 papers receiving 252 citations

Peers

F. Sargeni
Comparison fields: 5 of 34
  • Computer Networks and Communications 177
  • Artificial Intelligence 132
  • Electrical and Electronic Engineering 170
  • Statistical and Nonlinear Physics 24
  • Computational Theory and Mathematics 21
Replace Xiaojian Tian with:
Xiaojian Tian China
P. Christie United States
Navid Anjum Aadit United States
P. Heidelberger United States
John A. Flanagan Finland
Giovanni Cancellieri Italy
Andrea Grimaldi Italy
K. Torki France
Vikram K. Narayana United States
Zheng Gao China
F. Sargeni relative to Xiaojian Tian China Xiaojian Tian's profile →
Citations per field
00.5×2.9×
Xiaojian Tian · 1×
Citations per year

Countries citing papers authored by F. Sargeni

Since Specialization
Citations

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

Fields of papers citing papers by F. Sargeni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199425
2 199819
3 199517
4 200214
5 201813
6 199912
7 199611
8 200211
9 20029
10 20029
11 19939
12 20227
13 20057
14 20027
15 20027
16 20066
17 20026
18 20025
19 20025
20 20175

About F. Sargeni

F. Sargeni is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics and Nuclear and High Energy Physics, having authored 59 papers that have together received 261 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (33 papers), Neural Networks and Applications (26 papers), Advanced Memory and Neural Computing (24 papers), Particle physics theoretical and experimental studies (8 papers), Dark Matter and Cosmic Phenomena (5 papers), Particle Detector Development and Performance (5 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Cellular Automata and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (177 citations), Artificial Intelligence (132 citations), Electrical and Electronic Engineering (170 citations), Statistical and Nonlinear Physics (24 citations) and Computational Theory and Mathematics (21 citations). F. Sargeni has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Vincenzo Bonaiuto, Mário Sérgio Salerno, G.C. Cardarilli, Marco Bonifazi, R. Lojacono, Á. Salamon, Antonio Maffucci, Alessandro Salvini, Giovanni Miano and G. Paoluzzi. Their work appears in journals such as Electronics Letters, Journal of Instrumentation, Analog Integrated Circuits and Signal Processing, International Journal of Circuit Theory and Applications and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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