Ammar Almasri

575 total citations · 1 hit paper
14 papers, 287 citations indexed

About

Ammar Almasri is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ammar Almasri has authored 14 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Ammar Almasri's work include Online Learning and Analytics (3 papers), Machine Learning in Healthcare (3 papers) and Software System Performance and Reliability (3 papers). Ammar Almasri is often cited by papers focused on Online Learning and Analytics (3 papers), Machine Learning in Healthcare (3 papers) and Software System Performance and Reliability (3 papers). Ammar Almasri collaborates with scholars based in Jordan, Cyprus and Malaysia. Ammar Almasri's co-authors include Rami S. Alkhawaldeh, Erbuğ Çelebi, Sadiq Hussain, Pãnos M. Pardalos, Hossein Moosaei, Milan Hladík, Rizwan Rehman, Afshin Shoeibi, Saeid Nahavandi and Zahra Sadeghi and has published in prestigious journals such as Neural Computing and Applications, Computers & Electrical Engineering and Arabian Journal for Science and Engineering.

In The Last Decade

Ammar Almasri

13 papers receiving 277 citations

Hit Papers

A review of Explainable Artificial Intelligence in health... 2024 2026 2025 2024 40 80 120

Peers

Ammar Almasri
Comparison fields: 5 of 83
  • Artificial Intelligence 116
  • Health Informatics 49
  • Computer Science Applications 44
  • Radiology, Nuclear Medicine and Imaging 37
  • Health Information Management 27
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Angelo Croatti Italy View profile →
Citations per field, relative to Ammar Almasri
Ammar Almasri · 1×
Citations per year, relative to Ammar Almasri
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Countries citing papers authored by Ammar Almasri

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Almasri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ammar Almasri

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Almasri. A scholar is included among the top collaborators of Ammar Almasri 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 Ammar Almasri. Ammar Almasri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1
A review of Explainable Artificial Intelligence in healthcare breakdown →
136
2 3
3 14
4 1
5 0
6 3
7 1
8 5
9 1
10 22
11 20
12 4
13 35
14 42

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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