Nailah Al–Madi

780 total citations
26 papers, 548 citations indexed

About

Nailah Al–Madi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Nailah Al–Madi has authored 26 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Nailah Al–Madi's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (8 papers) and Neural Networks and Applications (4 papers). Nailah Al–Madi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (8 papers) and Neural Networks and Applications (4 papers). Nailah Al–Madi collaborates with scholars based in Jordan, United States and Australia. Nailah Al–Madi's co-authors include Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Simone A. Ludwig, Majdi Mafarja, Amjed Al‐Mousa, Maria Habib, Mohamed Abd Elaziz, Ali Asghar Heidari and Nadim Obeid and has published in prestigious journals such as IEEE Access, Computers & Industrial Engineering and Neural Computing and Applications.

In The Last Decade

Nailah Al–Madi

26 papers receiving 528 citations

Peers

Nailah Al–Madi
Comparison fields: 5 of 104
  • Artificial Intelligence 312
  • Computer Vision and Pattern Recognition 80
  • Electrical and Electronic Engineering 69
  • Computer Networks and Communications 62
  • Aerospace Engineering 50
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Siti Sophiayati Yuhaniz Malaysia
Talari Ganesh India
Chenyang Li China
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Citations per field, relative to Nailah Al–Madi
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Citations per year, relative to Nailah Al–Madi
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Countries citing papers authored by Nailah Al–Madi

Since Specialization
Citations

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

Fields of papers citing papers by Nailah Al–Madi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nailah Al–Madi. 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 Nailah Al–Madi. The network helps show where Nailah Al–Madi may publish in the future.

Co-authorship network of co-authors of Nailah Al–Madi

This figure shows the co-authorship network connecting the top 25 collaborators of Nailah Al–Madi. A scholar is included among the top collaborators of Nailah Al–Madi 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 Nailah Al–Madi. Nailah Al–Madi 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
# Work Indexed citations
1 3
2 10
3 6
4 1
5 77
6 24
7 59
8 50
9 18
10 1
11 8
12 23
13 7
14 5
15 24
16 87
17 60
18 3
19 4
20 4

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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