George M. Samaras

47 total papers · 968 total citations
34 papers, 728 citations indexed

About

George M. Samaras is a scholar working on Biomedical Engineering, Medical Laboratory Technology and Artificial Intelligence. According to data from OpenAlex, George M. Samaras has authored 34 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 6 papers in Medical Laboratory Technology and 5 papers in Artificial Intelligence. Recurrent topics in George M. Samaras's work include Ultrasound and Hyperthermia Applications (13 papers), Quality and Safety in Healthcare (6 papers) and Microfluidic and Bio-sensing Technologies (4 papers). George M. Samaras is often cited by papers focused on Ultrasound and Hyperthermia Applications (13 papers), Quality and Safety in Healthcare (6 papers) and Microfluidic and Bio-sensing Technologies (4 papers). George M. Samaras collaborates with scholars based in United States, Canada and Cyprus. George M. Samaras's co-authors include Michael Salcman, M.A. Stuchly, T.W. Athey, Richard L. Horst, Glen A. Taylor, Stanislaw S. Stuchly, John E. Robinson, George H. Harrison, Joseph F. Contrera and David L. Spooner and has published in prestigious journals such as Journal of Neurochemistry, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

George M. Samaras

29 papers receiving 666 citations

Author Peers

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

Author						Papers	Cites
George M. Samaras	384	203	118	60	54	34	728
Qinggong Tang	384 1.0×	99 0.5×	168 1.4×	26 0.4×	37 0.7×	56	750
Ki Chang Nam	290 0.8×	131 0.6×	58 0.5×	21 0.3×	48 0.9×	73	891
Liang Chen	214 0.6×	63 0.3×	64 0.5×	83 1.4×	27 0.5×	33	743
P. A. Karalkin	404 1.1×	131 0.6×	24 0.2×	65 1.1×	41 0.8×	57	777
E. Du	458 1.2×	154 0.8×	38 0.3×	113 1.9×	179 3.3×	31	829
Yoshinobu Murayama	385 1.0×	59 0.3×	71 0.6×	14 0.2×	17 0.3×	40	763
Robert Bradford	152 0.4×	49 0.2×	189 1.6×	49 0.8×	13 0.2×	34	635
Mekhail Anwar	255 0.7×	164 0.8×	94 0.8×	48 0.8×	6 0.1×	65	711
Gábor Andócs	510 1.3×	49 0.2×	165 1.4×	13 0.2×	33 0.6×	37	874
Julia Walther	460 1.2×	62 0.3×	154 1.3×	14 0.2×	33 0.6×	67	738

Countries citing papers authored by George M. Samaras

Since Specialization

Citations

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

Fields of papers citing papers by George M. Samaras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Samaras. 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 George M. Samaras. The network helps show where George M. Samaras may publish in the future.

Co-authorship network of co-authors of George M. Samaras

This figure shows the co-authorship network connecting the top 25 collaborators of George M. Samaras. A scholar is included among the top collaborators of George M. Samaras 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 George M. Samaras. George M. Samaras 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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