M. Farza

3.3k citations
106 papers · 2.5k indexed · h-index 28

M. Farza

99 papers receiving 2.4k citations

Peers

M. Farza
Comparison fields: 5 of 86
  • Control and Systems Engineering 2.1k
  • Statistical and Nonlinear Physics 288
  • Computer Networks and Communications 361
  • Computational Theory and Mathematics 237
  • Artificial Intelligence 300
Replace M. M’Saad with:
M. M’Saad France
Yongming Li China
Yan Ji China
J. De León-Morales Mexico
Mourad Kchaou Saudi Arabia
Bohui Wang China
Yuquan Chen China
Salim Labiod Algeria
Weiwei Bai China
M. Farza relative to M. M’Saad France M. M’Saad's profile →
Citations per field
00.5×1.5×2.3×
M. M’Saad · 1×
Citations per year

Countries citing papers authored by M. Farza

Since Specialization
Citations

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

Fields of papers citing papers by M. Farza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202011
4 20199
5 201811
6 201840
7 201518
8 201441
9 201443
10 201334
11 2009155
12 200817
13 20083
14 20088
15 20088
16 200716
17 20023
18 199941
19 199834
20 19919

About M. Farza

M. Farza is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence and Mechanical Engineering, having authored 106 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (74 papers), Advanced Control Systems Optimization (47 papers), Stability and Control of Uncertain Systems (36 papers), Fault Detection and Control Systems (20 papers), Control Systems and Identification (13 papers), Control and Stability of Dynamical Systems (10 papers), Advanced Control Systems Design (8 papers) and Fuzzy Logic and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (2.1k citations), Statistical and Nonlinear Physics (288 citations), Computer Networks and Communications (361 citations), Computational Theory and Mathematics (237 citations) and Artificial Intelligence (300 citations). M. Farza has collaborated with scholars based in France, Tunisia and Algeria. Frequent co-authors include M. M’Saad, Abdesselem Boulkroune, H. Hammouri, M. M’Saad, Mohamed Tadjine, Krishna Busawon, Mohammed M’Saad, Tomas Ménard, Ridha Ben Abdennour and Salim Hadj Saïd. Their work appears in journals such as Automatica, Fuzzy Sets and Systems, International Journal of Control, Neurocomputing and International Journal of Systems Science.

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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