Azadeh Akhavanallaf

1.1k citations
29 papers · 626 indexed · 1 hit paper · h-index 13
Topics
Medical Imaging Techniques and Applications (17 papers)Advanced X-ray and CT Imaging (17 papers)Radiation Dose and Imaging (9 papers)

In The Last Decade

Azadeh Akhavanallaf

27 papers receiving 623 citations

Hit Papers

The promise of artificial intelligence and deep learning ...2021202620222024202150100150

Peers

Azadeh Akhavanallaf
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 528
  • Biomedical Engineering 252
  • Radiation 143
  • Pulmonary and Respiratory Medicine 108
  • Artificial Intelligence 61
Replace Yazdan Salimi with:
Yazdan Salimi Switzerland
Ehsan Abadi United States
Fredrik Löfman Sweden
Reza Reiazi Iran
Benjamin Ziemer United States
Ruhani Doda Khera United States
Brent van der Heyden Netherlands
M.H.F. Savenije Netherlands
Andreas Fieselmann Germany
Chayanin Nitiwarangkul Thailand
Azadeh Akhavanallaf relative to Yazdan Salimi Switzerland Yazdan Salimi's profile →
Citations per field
00.5×1.5×1.9×
Yazdan Salimi · 1×
Citations per year

Countries citing papers authored by Azadeh Akhavanallaf

Since Specialization
Citations

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

Fields of papers citing papers by Azadeh Akhavanallaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azadeh Akhavanallaf

This figure shows the co-authorship network connecting the top 25 collaborators of Azadeh Akhavanallaf. A scholar is included among the top collaborators of Azadeh Akhavanallaf 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 Azadeh Akhavanallaf. Azadeh Akhavanallaf 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 1
3 8
4 19
5 10
6 16
7 4
8 0
9 13
10 36
11 24
12 16
13 5
14
The promise of artificial intelligence and deep learning in PET and SPECT imagingbreakdown →
176
15 37
16 27
17 35
18 11
19 70
20 64

About Azadeh Akhavanallaf

Azadeh Akhavanallaf is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 29 papers that have together received 626 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Advanced X-ray and CT Imaging (17 papers) and Radiation Dose and Imaging (9 papers). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (528 citations) and Radiation (143 citations). Azadeh Akhavanallaf has collaborated with scholars based in Switzerland, Denmark and Netherlands. Frequent co-authors include Habib Zaidi, Isaac Shiri, Hossein Arabi, Amirhossein Sanaat, Yazdan Salimi, Tianwu Xie, Zahra Mansouri, Dariush Askari, Saleh Sandoughdaran and Arman Rahmim. Their work appears in journals such as Scientific Reports, Physics in Medicine and Biology and Medical Physics.

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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