Khalid A. Alattas

1.4k citations
63 papers · 957 indexed · h-index 19
Topics
Adaptive Control of Nonlinear Systems (23 papers)Fuzzy Logic and Control Systems (12 papers)Neural Networks and Applications (11 papers)
Partner nations
Saudi ArabiaTaiwanChina

In The Last Decade

Khalid A. Alattas

54 papers receiving 934 citations

Peers

Khalid A. Alattas
Comparison fields: 5 of 97
  • Control and Systems Engineering 541
  • Artificial Intelligence 185
  • Electrical and Electronic Engineering 144
  • Computer Networks and Communications 136
  • Aerospace Engineering 116
Replace Sehraneh Ghaemi with:
Sehraneh Ghaemi Iran
Ankush Chakrabarty United States
Jaime Pacheco Mexico
Ahmad Bagheri Iran
Fang Tang China
Qichun Zhang United Kingdom
Yanting Huang China
Moussa Labbadi Morocco
Elena‐Lorena Hedrea Romania
Goran Banjac Switzerland
Khalid A. Alattas relative to Sehraneh Ghaemi Iran Sehraneh Ghaemi's profile →
Citations per field
00.5×
Sehraneh Ghaemi · 1×
Citations per year

Countries citing papers authored by Khalid A. Alattas

Since Specialization
Citations

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

Fields of papers citing papers by Khalid A. Alattas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid A. Alattas. 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 Khalid A. Alattas. The network helps show where Khalid A. Alattas may publish in the future.

Co-authorship network of co-authors of Khalid A. Alattas

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid A. Alattas. A scholar is included among the top collaborators of Khalid A. Alattas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khalid A. Alattas. Khalid A. Alattas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
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3 0
4 0
5 0
6 8
7 1
8 7
9 7
10 23
11 30
12 20
13 15
14 10
15 6
16 31
17 33
18 6
19 3
20 6

About Khalid A. Alattas

Khalid A. Alattas is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 63 papers that have together received 957 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (23 papers), Fuzzy Logic and Control Systems (12 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Control and Systems Engineering (541 citations), Statistical and Nonlinear Physics (88 citations) and Computer Networks and Communications (136 citations). Khalid A. Alattas has collaborated with scholars based in Saudi Arabia, Taiwan and China. Frequent co-authors include Saleh Mobayen, Ardashir Mohammadzadeh, Mai The Vu, Omid Mofid, Fayez F. M. El-Sousy, Yassine Bouteraa, Chunwei Zhang, Afef Fekih, Wudhichai Assawinchaichote and ‏Abdullah K. Alanazi. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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