Fuad E. Alsaadi

23.7k citations
443 papers · 19.1k indexed · 1 hit paper · h-index 74

Fuad E. Alsaadi

438 papers receiving 18.7k citations

Hit Papers

A survey of deep neural network architectures and their a...2.3k201620262019202250010001.5k2.0k

Peers

Fuad E. Alsaadi
Comparison fields: 5 of 200
  • Computer Networks and Communications 8.8k
  • Control and Systems Engineering 7.5k
  • Statistical and Nonlinear Physics 2.3k
  • Artificial Intelligence 4.7k
  • Modeling and Simulation 409
Replace Francesco Bullo with:
Francesco Bullo United States
Hamid Reza Karimi China
Jun Wang China
Karl Henrik Johansson Sweden
Lin Xiao China
Laurent El Ghaoui United States
George J. Pappas United States
Lihua Xie Singapore
Yurong Liu China
Han‐Xiong Li Hong Kong
Fuad E. Alsaadi relative to Francesco Bullo United States Francesco Bullo's profile →
Citations per field
00.5×2.8×
Francesco Bullo · 1×
Citations per year

Countries citing papers authored by Fuad E. Alsaadi

Since Specialization
Citations

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

Fields of papers citing papers by Fuad E. Alsaadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fuad E. Alsaadi. 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 Fuad E. Alsaadi. The network helps show where Fuad E. Alsaadi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202311
3 202311
4 202323
5 20238
6 202211
7 20217
8 20201
9 202026
10 202015
11 20194
12 20196
13 20198
14 2018154
15 201820
16 20185
17 20188
18 201823
19 201829
20 201735

About Fuad E. Alsaadi

Fuad E. Alsaadi is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Statistical and Nonlinear Physics, Artificial Intelligence and Modeling and Simulation, having authored 443 papers that have together received 19.1k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (178 papers), Stability and Control of Uncertain Systems (131 papers), Distributed Control Multi-Agent Systems (86 papers), Nonlinear Dynamics and Pattern Formation (52 papers), Target Tracking and Data Fusion in Sensor Networks (51 papers), Distributed Sensor Networks and Detection Algorithms (38 papers), Nanofluid Flow and Heat Transfer (36 papers) and Fault Detection and Control Systems (36 papers). The work is most often cited by research in Computer Networks and Communications (8.8k citations), Control and Systems Engineering (7.5k citations), Statistical and Nonlinear Physics (2.3k citations), Artificial Intelligence (4.7k citations) and Modeling and Simulation (409 citations). Fuad E. Alsaadi has collaborated with scholars based in Saudi Arabia, China and United Kingdom. Frequent co-authors include Zidong Wang, Yurong Liu, Tasawar Hayat, Nianyin Zeng, Weibo Liu, Jinde Cao, Xiaohui Liu, Bo Shen, Guoliang Wei and Qiankun Song. Their work appears in journals such as Neurocomputing, Journal of the Franklin Institute, Neural Networks, International Journal of Systems Science and IET Control Theory 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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