Daniele Piras

65 total papers · 1.2k total citations
38 papers, 887 citations indexed

About

Daniele Piras is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Daniele Piras has authored 38 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 25 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Mechanics of Materials. Recurrent topics in Daniele Piras's work include Photoacoustic and Ultrasonic Imaging (26 papers), Optical Imaging and Spectroscopy Techniques (20 papers) and Infrared Thermography in Medicine (9 papers). Daniele Piras is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (26 papers), Optical Imaging and Spectroscopy Techniques (20 papers) and Infrared Thermography in Medicine (9 papers). Daniele Piras collaborates with scholars based in Netherlands, Italy and Belgium. Daniele Piras's co-authors include Srirang Manohar, Wiendelt Steenbergen, Ton G. van Leeuwen, Wenfeng Xia, Michelle Heijblom, Johan C. G. van Hespen, Frank M. van den Engh, Joost M. Klaase, J.M. Klaase and Hamed Sadeghian and has published in prestigious journals such as Scientific Reports, Optics Express and Sensors.

In The Last Decade

Daniele Piras

36 papers receiving 865 citations

Author Peers

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

Author						Papers	Cites
Daniele Piras	840	567	334	46	39	38	887
Patrick D. Kumavor	611 0.7×	318 0.6×	228 0.7×	49 1.1×	32 0.8×	68	755
Changhan Yoon	600 0.7×	467 0.8×	269 0.8×	38 0.8×	104 2.7×	54	823
Lvming Zeng	679 0.8×	324 0.6×	435 1.3×	27 0.6×	45 1.2×	69	834
Rayyan Manwar	767 0.9×	425 0.7×	374 1.1×	22 0.5×	38 1.0×	70	903
Yogesh K. Mariappan	509 0.6×	634 1.1×	118 0.4×	34 0.7×	36 0.9×	19	982
William L. Kiser	906 1.1×	429 0.8×	499 1.5×	20 0.4×	104 2.7×	23	988
Peng Shao	407 0.5×	409 0.7×	186 0.6×	31 0.7×	24 0.6×	45	814
Jérôme Gâteau	894 1.1×	571 1.0×	249 0.7×	32 0.7×	30 0.8×	40	979
Stephen Rosenzweig	490 0.6×	518 0.9×	201 0.6×	10 0.2×	31 0.8×	24	703
Chengwu Huang	634 0.8×	668 1.2×	149 0.4×	24 0.5×	31 0.8×	72	1.0k

Countries citing papers authored by Daniele Piras

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Piras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Piras

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