Sarra Ayouni

496 citations
38 papers · 205 indexed · h-index 8
Topics
Data Mining Algorithms and Applications (6 papers)Software Engineering Research (4 papers)Fuzzy Logic and Control Systems (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Sarra Ayouni

23 papers receiving 196 citations

Peers

Sarra Ayouni
Comparison fields: 5 of 66
  • Artificial Intelligence 60
  • Information Systems 57
  • Information Systems and Management 34
  • Computer Science Applications 32
  • Education 29
Replace Kostas Vassilakis with:
Kostas Vassilakis Greece
Erbuğ Çelebi Cyprus
Tak Yeon Lee United States
Trond Aalberg Norway
Mohamed Bourimi Germany
Juan M. Alberola Spain
Tawfeeq Alsanoosy Australia
Selver Softic Austria
David Fernandes Brazil
Dragutin Kermek Croatia
Sarra Ayouni relative to Kostas Vassilakis Greece Kostas Vassilakis's profile →
Citations per field
00.5×5.7×
Kostas Vassilakis · 1×
Citations per year

Countries citing papers authored by Sarra Ayouni

Since Specialization
Citations

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

Fields of papers citing papers by Sarra Ayouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarra Ayouni

This figure shows the co-authorship network connecting the top 25 collaborators of Sarra Ayouni. A scholar is included among the top collaborators of Sarra Ayouni 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 Sarra Ayouni. Sarra Ayouni 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 0
3 4
4 0
5 12
6 0
7 0
8 0
9 0
10 0
11 0
12 1
13 0
14 3
15 1
16 5
17 3
18 9
19 25
20 8

About Sarra Ayouni

Sarra Ayouni is a scholar working on Software, Health Informatics and Information Systems, having authored 38 papers that have together received 205 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Software Engineering Research (4 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Computer Science Applications (32 citations), Information Systems and Management (34 citations) and Information Systems (57 citations). Sarra Ayouni has collaborated with scholars based in Saudi Arabia, China and Pakistan. Frequent co-authors include Fahima Hajjej, Omar Almomani, Mohammed Amin Almaiah, Abdalwali Lutfi, Sadok Ben Yahia, Shaha Al‐Otaibi, Anne Laurent, Manal Abdullah Alohali, Sultan Alyahya and Diane Rasmussen Pennington. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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