Khashayar Namdar

53 total papers · 767 total citations
26 papers, 452 citations indexed

About

Khashayar Namdar is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Khashayar Namdar has authored 26 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Genetics and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Khashayar Namdar's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Glioma Diagnosis and Treatment (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Khashayar Namdar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Glioma Diagnosis and Treatment (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Khashayar Namdar collaborates with scholars based in Canada, United States and Germany. Khashayar Namdar's co-authors include Farzad Khalvati, Matthias Wagner, Masoom A. Haider, Lin Liu, Birgit Ertl‐Wagner, Asthik Biswas, Kartik Jhaveri, Sandra E. Fischer, Sara Lewis and Bachir Taouli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Transplantation.

In The Last Decade

Khashayar Namdar

23 papers receiving 445 citations

Author Peers

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

Author						Papers	Cites
Khashayar Namdar	273	107	82	80	66	26	452
Khaled Bousabarah	308 1.1×	143 1.3×	90 1.1×	47 0.6×	73 1.1×	29	485
Nathaniel Swinburne	223 0.8×	113 1.1×	57 0.7×	112 1.4×	68 1.0×	18	503
Paul Blanc‐Durand	330 1.2×	116 1.1×	34 0.4×	36 0.5×	84 1.3×	31	545
Anselm Schulz	264 1.0×	52 0.5×	108 1.3×	19 0.2×	79 1.2×	36	409
Ramón Correa	364 1.3×	109 1.0×	194 2.4×	92 1.1×	82 1.2×	30	515
Sebastian R. van der Voort	367 1.3×	183 1.7×	206 2.5×	43 0.5×	62 0.9×	28	534
Tal Zeevi	264 1.0×	85 0.8×	38 0.5×	50 0.6×	73 1.1×	47	421
Fei Wang	315 1.2×	95 0.9×	59 0.7×	51 0.6×	40 0.6×	28	430
Jian Wang	393 1.4×	149 1.4×	103 1.3×	65 0.8×	72 1.1×	40	510
Minxiong Zhou	365 1.3×	138 1.3×	53 0.6×	73 0.9×	60 0.9×	13	463

Countries citing papers authored by Khashayar Namdar

Since Specialization

Citations

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

Fields of papers citing papers by Khashayar Namdar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khashayar Namdar

This figure shows the co-authorship network connecting the top 25 collaborators of Khashayar Namdar. A scholar is included among the top collaborators of Khashayar Namdar 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 Khashayar Namdar. Khashayar Namdar 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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