Ali Foroughi pour

466 citations
29 papers · 255 indexed · h-index 8
Topics
Gene expression and cancer classification (17 papers)Machine Learning in Bioinformatics (9 papers)Bioinformatics and Genomic Networks (9 papers)
Partner nations
United States

In The Last Decade

Ali Foroughi pour

28 papers receiving 253 citations

Peers

Ali Foroughi pour
Comparison fields: 5 of 58
  • Artificial Intelligence 140
  • Radiology, Nuclear Medicine and Imaging 96
  • Molecular Biology 90
  • Oncology 44
  • Biophysics 34
Replace Saman Farahmand with:
Saman Farahmand United States
Olivier Saidi United States
Mikhail Teverovskiy United States
Steven Xu United States
Sahirzeeshan Ali United States
Apaar Sadhwani United States
Paul van Diest Netherlands
Arvind Rao United States
Jett Crowdis United States
Can Koyuncu United States
Ali Foroughi pour relative to Saman Farahmand United States Saman Farahmand's profile →
Citations per field
00.5×6.5×
Saman Farahmand · 1×
Citations per year

Countries citing papers authored by Ali Foroughi pour

Since Specialization
Citations

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

Fields of papers citing papers by Ali Foroughi pour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Foroughi pour. 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 Ali Foroughi pour. The network helps show where Ali Foroughi pour may publish in the future.

Co-authorship network of co-authors of Ali Foroughi pour

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Foroughi pour. A scholar is included among the top collaborators of Ali Foroughi pour 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 Ali Foroughi pour. Ali Foroughi pour 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 9
5 16
6 1
7 17
8 7
9 1
10 1
11 124
12 1
13 3
14 1
15 2
16 6
17 5
18 2
19 9
20 10

About Ali Foroughi pour

Ali Foroughi pour is a scholar working on Statistics and Probability, Biophysics and Artificial Intelligence, having authored 29 papers that have together received 255 indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Machine Learning in Bioinformatics (9 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Biophysics (34 citations), Artificial Intelligence (140 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Ali Foroughi pour has collaborated with scholars based in United States. Frequent co-authors include Lori A. Dalton, Jeffrey H. Chuang, David L. Rimm, Kourosh Zarringhalam, Javad Noorbakhsh, Dennis L. Caruana, Sandeep Namburi, Saman Farahmand, Todd Sheridan and Brian S. White. Their work appears in journals such as Nature Communications, Cancer Research and Scientific Reports.

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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