Hiba Asri

1.0k citations
14 papers · 592 indexed · 1 hit paper · h-index 7
Topics
Artificial Intelligence in Healthcare (5 papers)Mobile Health and mHealth Applications (4 papers)Smart Systems and Machine Learning (3 papers)
Journals
SHILAP Revista de lepidopterologíaJournal Of Big DataData in Brief
Partner nations
MoroccoFrance

In The Last Decade

Hiba Asri

13 papers receiving 549 citations

Hit Papers

Using Machine Learning Algorithms for Breast Cancer Risk ...20162026201920222016100200300400

Peers

Hiba Asri
Comparison fields: 5 of 103
  • Artificial Intelligence 392
  • Health Information Management 240
  • Radiology, Nuclear Medicine and Imaging 141
  • Molecular Biology 138
  • Computer Vision and Pattern Recognition 60
Replace Abdelmgeid A. Ali with:
Abdelmgeid A. Ali Egypt
Abdullah Almuhaimeed Saudi Arabia
Sanaa El Filali Morocco
Mohammad Hossein Zangooei Iran
S. Punitha India
Shelly Sachdeva India
Mohamed Ezz Saudi Arabia
S. Pradeepa India
Mohd Usama China
Iftikhar Naseer Pakistan
Hiba Asri relative to Abdelmgeid A. Ali Egypt Abdelmgeid A. Ali's profile →
Citations per field
00.5×5.4×
Abdelmgeid A. Ali · 1×
Citations per year

Countries citing papers authored by Hiba Asri

Since Specialization
Citations

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

Fields of papers citing papers by Hiba Asri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiba Asri

This figure shows the co-authorship network connecting the top 25 collaborators of Hiba Asri. A scholar is included among the top collaborators of Hiba Asri 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 Hiba Asri. Hiba Asri 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
#WorkIndexed citations
1 1
2 7
3 0
4 1
5 6
6 4
7 2
8 3
9 23
10 3
11 6
12 9
13
Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosisbreakdown →
475
14 52

About Hiba Asri

Hiba Asri is a scholar working on Health Information Management, Obstetrics and Gynecology and Computer Networks and Communications, having authored 14 papers that have together received 592 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Mobile Health and mHealth Applications (4 papers) and Smart Systems and Machine Learning (3 papers). The work is most often cited by research in Health Information Management (240 citations), Artificial Intelligence (392 citations) and Health Informatics (10 citations). Hiba Asri has collaborated with scholars based in Morocco and France. Frequent co-authors include Hassan Al Moatassime, Hajar Mousannif, Thomas Noël and Ahmed El Yacoubi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal Of Big Data and Data in Brief.

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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