Mohamed El Ansari

1.5k citations
90 papers · 1.0k indexed · h-index 19

Mohamed El Ansari

80 papers receiving 1.0k citations

Peers

Mohamed El Ansari
Comparison fields: 5 of 87
  • Gastroenterology 259
  • Computer Vision and Pattern Recognition 553
  • Media Technology 189
  • Oncology 240
  • Radiology, Nuclear Medicine and Imaging 182
Replace Bisser Raytchev with:
Bisser Raytchev Japan
Yoshito Mekada Japan
Huijie Fan China
Kwang-Baek Kim South Korea
Yasin Almalıoğlu United Kingdom
Jun-Yan He China
Umut Özkaya Türkiye
N. Sri Madhava Raja India
Tianwei Zhou China
Seung‐Hwan Bae South Korea
Mohamed El Ansari relative to Bisser Raytchev Japan Bisser Raytchev's profile →
Citations per field
00.5×4.7×
Bisser Raytchev · 1×
Citations per year

Countries citing papers authored by Mohamed El Ansari

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed El Ansari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed El Ansari. 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 Mohamed El Ansari. The network helps show where Mohamed El Ansari may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mohamed El Ansari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohamed El Ansari Line = papers co-authored together Mohamed El Ansari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20250
5 20250
6 20242
7 20243
8 20246
9 20243
10 202410
11 202319
12 202312
13 202319
14 20230
15 202213
16 202227
17 202110
18 20206
19 20176
20 2016127

About Mohamed El Ansari

Mohamed El Ansari is a scholar working on Gastroenterology, Computer Vision and Pattern Recognition and Media Technology, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gastrointestinal Bleeding Diagnosis and Treatment (26 papers), Colorectal Cancer Screening and Detection (18 papers), Advanced Vision and Imaging (18 papers), Video Surveillance and Tracking Methods (15 papers), Advanced Neural Network Applications (15 papers), AI in cancer detection (14 papers), Image Retrieval and Classification Techniques (10 papers) and Image Enhancement Techniques (10 papers). The work is most often cited by research in Gastroenterology (259 citations), Computer Vision and Pattern Recognition (553 citations) and Media Technology (189 citations). Mohamed El Ansari has collaborated with scholars based in Morocco, France and United States. Frequent co-authors include Said Charfi, Ayoub Ellahyani, Lahcen Koutti, Lhoussaine Masmoudi, Abdelaziz Bensrhair, Stéphane Mousset, Ilangko Balasingham, George Bebis, Francisco-Ángel Moreno and Alexander H.‐D. Cheng. Their work appears in journals such as Multimedia Tools and Applications, Soft Computing, Pattern Recognition Letters, International Journal of Imaging Systems and Technology 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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