Muna Al‐Razgan

3.6k citations
92 papers · 1.9k indexed · 2 hit papers · h-index 21
Topics
Mobile Learning in Education (6 papers)Advanced Neural Network Applications (5 papers)Network Security and Intrusion Detection (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access

In The Last Decade

Muna Al‐Razgan

83 papers receiving 1.8k citations

Hit Papers

Hyperparameter Search for Machine Learning Algorithms for...20222026202320242023202250100150

Peers

Muna Al‐Razgan
Comparison fields: 5 of 154
  • Artificial Intelligence 720
  • Computer Vision and Pattern Recognition 350
  • Information Systems 317
  • Computer Science Applications 224
  • Computer Networks and Communications 156
Replace Raheel Nawaz with:
Raheel Nawaz United Kingdom
Daniyal Alghazzawi Saudi Arabia
Abdallah Namoun Saudi Arabia
Osama Alfarraj Saudi Arabia
Changqin Huang China
Ali Shariq Imran Norway
Asadullah Shah Malaysia
Amirrudin Kamsin Malaysia
Paulo Nováis Portugal
Kwok Tai Chui Hong Kong
Muna Al‐Razgan relative to Raheel Nawaz United Kingdom Raheel Nawaz's profile →
Citations per field
00.5×4.6×
Raheel Nawaz · 1×
Citations per year

Countries citing papers authored by Muna Al‐Razgan

Since Specialization
Citations

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

Fields of papers citing papers by Muna Al‐Razgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muna Al‐Razgan. 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 Muna Al‐Razgan. The network helps show where Muna Al‐Razgan may publish in the future.

Co-authorship network of co-authors of Muna Al‐Razgan

This figure shows the co-authorship network connecting the top 25 collaborators of Muna Al‐Razgan. A scholar is included among the top collaborators of Muna Al‐Razgan 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 Muna Al‐Razgan. Muna Al‐Razgan 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 0
2 18
3 4
4 0
5 4
6 12
7 12
8 11
9 2
10 3
11 10
12 18
13 12
14 28
15 9
16 5
17 7
18
Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexitybreakdown →
163
19 6
20 69

About Muna Al‐Razgan

Muna Al‐Razgan is a scholar working on Computer Science Applications, Information Systems and General Energy, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mobile Learning in Education (6 papers), Advanced Neural Network Applications (5 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Computer Science Applications (224 citations), Artificial Intelligence (720 citations) and Human-Computer Interaction (112 citations). Muna Al‐Razgan has collaborated with scholars based in Saudi Arabia, China and Pakistan. Frequent co-authors include Carlotta Domeniconi, Yasser A. Ali, Emad Mahrous Awwad, Taha Alfakih, Sheng Ma, Dimitris Papadopoulos, Dimitrios Gunopulos, Hend S. Al‐Khalifa, Shurug Al-Khalifa and Muaadh A. Alsoufi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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