Abdulla Al‐Ansari

2.9k citations
117 papers · 2.0k indexed · 1 hit paper · h-index 24
Topics
Surgical Simulation and Training (31 papers)Augmented Reality Applications (18 papers)Soft Robotics and Applications (12 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences

In The Last Decade

Abdulla Al‐Ansari

111 papers receiving 1.9k citations

Hit Papers

Advancements in Deep Learning for B-Mode Ultrasound Segme...2024202620252024204060

Peers

Abdulla Al‐Ansari
Comparison fields: 5 of 147
  • Surgery 560
  • Pulmonary and Respiratory Medicine 503
  • Urology 378
  • Computer Vision and Pattern Recognition 348
  • Biomedical Engineering 306
Replace Jacques Hubert with:
Jacques Hubert France
Juan Carlos Prieto United States
Panagiota Spyridonos Greece
Longfei Liu China
Francesco Pesce Italy
Osamu Ukimura Japan
Kuan‐Ming Chiu Taiwan
Kumar Jayant United Kingdom
Garth H. Ballantyne United States
Michael R. Marohn United States
Abdulla Al‐Ansari relative to Jacques Hubert France Jacques Hubert's profile →
Citations per field
00.5×2.8×
Jacques Hubert · 1×
Citations per year

Countries citing papers authored by Abdulla Al‐Ansari

Since Specialization
Citations

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

Fields of papers citing papers by Abdulla Al‐Ansari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulla Al‐Ansari

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulla Al‐Ansari. A scholar is included among the top collaborators of Abdulla Al‐Ansari 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 Abdulla Al‐Ansari. Abdulla Al‐Ansari 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 1
2 0
3 3
4 2
5 1
6 2
7 4
8 16
9 2
10 11
11 4
12 3
13 92
14 8
15 1
16 3
17 4
18 10
19 4
20 105

About Abdulla Al‐Ansari

Abdulla Al‐Ansari is a scholar working on Urology, Computer Vision and Pattern Recognition and Microbiology, having authored 117 papers that have together received 2.0k indexed citations. Recurring topics across this work include Surgical Simulation and Training (31 papers), Augmented Reality Applications (18 papers) and Soft Robotics and Applications (12 papers). The work is most often cited by research in Urology (378 citations), Reproductive Medicine (238 citations) and Health Informatics (28 citations). Abdulla Al‐Ansari has collaborated with scholars based in Qatar, United States and United Kingdom. Frequent co-authors include Ahmed A. Shokeir, Julien Abinahed, Sarada Prasad Dakua, Khalid Al‐Rumaihi, Omar M. Aboumarzouk, Tawiz Gul, Abdulla Al‐Naimi, Mohammed Yusuf Ansari, Abdulla O.A.A. Al-Hamaq and Abdülbari Bener. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

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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