Parnian Afshar

49 total papers · 1.2k total citations
19 papers, 692 citations indexed

About

Parnian Afshar is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Parnian Afshar has authored 19 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Parnian Afshar's work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Parnian Afshar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Parnian Afshar collaborates with scholars based in Canada, Iran and United States. Parnian Afshar's co-authors include Konstantinos N. Plataniotis, Arash Mohammadi, Anastasia Oikonomou, Farnoosh Naderkhani, Shahin Heidarian, Moezedin Javad Rafiee, Abbas Ahmadi, Keyvan Farahani, Pascal N. Tyrrell and Justin Kirby and has published in prestigious journals such as Scientific Reports, IEEE Signal Processing Magazine and IEEE Signal Processing Letters.

In The Last Decade

Parnian Afshar

19 papers receiving 664 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Parnian Afshar	376	320	296	269	112	19	692
Changhee Han	246 0.7×	315 1.0×	112 0.4×	326 1.2×	63 0.6×	27	759
Tae‐Seong Kim	349 0.9×	420 1.3×	100 0.3×	170 0.6×	66 0.6×	17	637
Youngjin Yoo	387 1.0×	203 0.6×	153 0.5×	228 0.8×	73 0.7×	30	742
Dina A. Ragab	420 1.1×	495 1.5×	139 0.5×	134 0.5×	49 0.4×	9	637
Ke Zhang	358 1.0×	250 0.8×	77 0.3×	148 0.6×	93 0.8×	35	697
Neeraj Dhungel	419 1.1×	516 1.6×	105 0.4×	184 0.7×	81 0.7×	10	619
Tom Brosch	286 0.8×	214 0.7×	167 0.6×	279 1.0×	49 0.4×	20	695
Fahad Shamshad	301 0.8×	270 0.8×	97 0.3×	292 1.1×	44 0.4×	16	749
Clifford Yang	376 1.0×	345 1.1×	79 0.3×	86 0.3×	84 0.8×	22	658
Salman Khan	289 0.8×	238 0.7×	95 0.3×	235 0.9×	45 0.4×	17	706

Countries citing papers authored by Parnian Afshar

Since Specialization

Citations

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

Fields of papers citing papers by Parnian Afshar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parnian Afshar

This figure shows the co-authorship network connecting the top 25 collaborators of Parnian Afshar. A scholar is included among the top collaborators of Parnian Afshar 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 Parnian Afshar. Parnian Afshar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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