Isaac Shiri

5.9k citations
174 papers · 3.6k indexed · 1 hit paper · h-index 36
Topics
Radiomics and Machine Learning in Medical Imaging (119 papers)Advanced X-ray and CT Imaging (77 papers)Medical Imaging Techniques and Applications (76 papers)
Journals
JAMANature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Isaac Shiri

159 papers receiving 3.6k citations

Hit Papers

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

Peers

Isaac Shiri
Comparison fields: 5 of 127
  • Radiology, Nuclear Medicine and Imaging 2.9k
  • Biomedical Engineering 1.4k
  • Pulmonary and Respiratory Medicine 860
  • Artificial Intelligence 544
  • Radiation 299
Replace Sergios Gatidis with:
Sergios Gatidis Germany
MingDe Lin United States
Martina Sollini Italy
Alireza Mehrtash United States
Roberta Fusco Italy
Alexander Sauter Germany
Virendra Kumar India
George C. Kagadis Greece
Nickolas Papanikolaou Greece
Felix Nensa Germany
Isaac Shiri relative to Sergios Gatidis Germany Sergios Gatidis's profile →
Citations per field
00.5×2.7×
Sergios Gatidis · 1×
Citations per year

Countries citing papers authored by Isaac Shiri

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Shiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Shiri

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Shiri. A scholar is included among the top collaborators of Isaac Shiri 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 Isaac Shiri. Isaac Shiri 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 5
3 0
4 0
5 5
6 1
7 15
8 10
9 5
10 7
11 13
12 14
13 11
14 15
15 61
16 16
17 36
18 49
19 63
20
Resolution Recovery with Pre-Reconstruction Fourier Transforms Filtering for a High Resolution Animal SPECT System
1

About Isaac Shiri

Isaac Shiri is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Radiation, having authored 174 papers that have together received 3.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (119 papers), Advanced X-ray and CT Imaging (77 papers) and Medical Imaging Techniques and Applications (76 papers). The work is most often cited by research in Health Informatics (177 citations), Radiology, Nuclear Medicine and Imaging (2.9k citations) and Radiation (299 citations). Isaac Shiri has collaborated with scholars based in Switzerland, Iran and Netherlands. Frequent co-authors include Habib Zaidi, Hossein Arabi, Hamid Abdollahi, Ghasem Hajianfar, Arman Rahmim, Mehrdad Oveisi, Amirhossein Sanaat, Azadeh Akhavanallaf, Mostafa Nazari and Yazdan Salimi. Their work appears in journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.

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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