Marco Piccirilli

565 total citations
8 papers, 182 citations indexed

About

Marco Piccirilli is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marco Piccirilli has authored 8 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marco Piccirilli's work include Advanced Vision and Imaging (2 papers), Face recognition and analysis (2 papers) and Gait Recognition and Analysis (1 paper). Marco Piccirilli is often cited by papers focused on Advanced Vision and Imaging (2 papers), Face recognition and analysis (2 papers) and Gait Recognition and Analysis (1 paper). Marco Piccirilli collaborates with scholars based in United States and Canada. Marco Piccirilli's co-authors include Donald Adjeroh, Gianfranco Doretto, Arun Ross, Saeid Motiian, Jagat Narula, Matthew J. Budoff, Nobuyuki Kagiyama, Negin Nezarat, Partho P. Sengupta and Thirimachos Bourlai and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and IEEE Sensors Journal.

In The Last Decade

Marco Piccirilli

7 papers receiving 180 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marco Piccirilli United States	7	100	47	38	23	22	8	182
Yawen Cui China	9	95 0.9×	46 1.0×	83 2.2×	63 2.7×	30 1.4×	18	261
Sergey Krivenko Ukraine	12	222 2.2×	49 1.0×	13 0.3×	32 1.4×	18 0.8×	56	369
Vinay Bettadapura United States	6	111 1.1×	31 0.7×	49 1.3×	69 3.0×	28 1.3×	6	209
Qiang Zhu China	10	41 0.4×	109 2.3×	43 1.1×	117 5.1×	23 1.0×	31	261
Toshanlal Meenpal India	9	214 2.1×	24 0.5×	20 0.5×	37 1.6×	62 2.8×	42	289
Vijeta Sharma India	4	67 0.7×	20 0.4×	99 2.6×	18 0.8×	6 0.3×	5	238
Ján Margeta France	5	86 0.9×	54 1.1×	35 0.9×	41 1.8×	8 0.4×	9	220
Mridul Ghosh India	9	101 1.0×	17 0.4×	33 0.9×	16 0.7×	4 0.2×	28	182
Tomer Golany Israel	6	35 0.3×	160 3.4×	34 0.9×	57 2.5×	9 0.4×	11	241
Paweł Turcza Poland	9	170 1.7×	21 0.4×	16 0.4×	46 2.0×	43 2.0×	36	310

Countries citing papers authored by Marco Piccirilli

Since Specialization

Citations

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

Fields of papers citing papers by Marco Piccirilli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Piccirilli

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Chen, Yunchun, Marco Piccirilli, Robinson Piramuthu, & Ming–Hsuan Yang. (2021). Self-attentive 3D human pose and shape estimation from videos. Computer Vision and Image Understanding. 213. 103305–103305. 7 indexed citations

2.

Kagiyama, Nobuyuki, Marco Piccirilli, Naveena Yanamala, et al.. (2020). Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features. Journal of the American College of Cardiology. 76(8). 930–941. 59 indexed citations

3.

Piccirilli, Marco, et al.. (2019). ACUTE CORONARY SYNDROMES IN YOUNG ADULTS: APPLICATION OF BAYESIAN NETWORK ANALYSIS FOR DYNAMIC CAUSAL MODELING. Journal of the American College of Cardiology. 73(9). 215–215.

4.

Piccirilli, Marco, Gianfranco Doretto, & Donald Adjeroh. (2017). A Framework for Analyzing the Whole Body Surface Area from a Single View. PLoS ONE. 12(1). e0166749–e0166749. 6 indexed citations

5.

Motiian, Saeid, Marco Piccirilli, Donald Adjeroh, & Gianfranco Doretto. (2016). Information Bottleneck Learning Using Privileged Information for Visual Recognition. 1496–1505. 36 indexed citations

6.

Piccirilli, Marco, Gianfranco Doretto, Arun Ross, & Donald Adjeroh. (2015). A Mobile Structured Light System for 3D Face Acquisition. IEEE Sensors Journal. 16(7). 1854–1855. 20 indexed citations

7.

Chen, Cunjian, et al.. (2011). Can facial metrology predict gender?. 1–8. 27 indexed citations

8.

Adjeroh, Donald, et al.. (2010). Predictability and correlation in human metrology. 1–6. 27 indexed citations

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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