Francesco Girardi

750 total citations
13 papers, 469 citations indexed

About

Francesco Girardi is a scholar working on Artificial Intelligence, Physiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Girardi has authored 13 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Physiology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Girardi's work include Digital Imaging for Blood Diseases (3 papers), AI in cancer detection (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Francesco Girardi is often cited by papers focused on Digital Imaging for Blood Diseases (3 papers), AI in cancer detection (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Francesco Girardi collaborates with scholars based in Italy. Francesco Girardi's co-authors include Giovanni Dimauro, Danilo Caivano, Vitoantonio Bevilacqua, Vincenzo Di Nicola, Lucio Colizzi, Attilio Guarini, Matteo Gelardi, Giorgio Ciprandi, Giuseppe Colucci and Michele Scalera and has published in prestigious journals such as IEEE Access, International Journal of Medical Informatics and Electronics.

In The Last Decade

Francesco Girardi

13 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Girardi Italy 12 124 118 109 80 50 13 469
Edward Jay Wang United States 11 23 0.2× 18 0.2× 90 0.8× 48 0.6× 17 0.3× 28 502
Xiaoli Zhou China 11 85 0.7× 10 0.1× 65 0.6× 110 1.4× 7 0.1× 39 363
Muhammad Nadeem Pakistan 11 75 0.6× 7 0.1× 203 1.9× 50 0.6× 9 0.2× 63 429
Anil Kumar Tiwari India 15 18 0.1× 33 0.3× 80 0.7× 113 1.4× 6 0.1× 51 597
Yubo Tan China 12 33 0.3× 8 0.1× 84 0.8× 133 1.7× 3 0.1× 48 472
Zhiyuan Li China 12 67 0.5× 17 0.1× 97 0.9× 127 1.6× 46 380
Mouayad Masalkhi Ireland 13 53 0.4× 93 0.8× 34 0.3× 156 1.9× 53 402
Jorge Amaral Brazil 11 100 0.8× 80 0.7× 7 0.1× 67 0.8× 12 0.2× 38 436
Iñaki Soto‐Rey Germany 7 143 1.2× 11 0.1× 107 1.0× 219 2.7× 28 521
Alejandro Cohen Israel 14 80 0.6× 25 0.2× 17 0.2× 26 0.3× 15 0.3× 54 587

Countries citing papers authored by Francesco Girardi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Girardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Girardi

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

All Works

13 of 13 papers shown
1.
Girardi, Francesco, et al.. (2021). Personal Heart Health Monitoring Based on 1D Convolutional Neural Network. Journal of Imaging. 7(2). 26–26. 25 indexed citations
2.
Dimauro, Giovanni, et al.. (2020). Estimate of Anemia with New Non-Invasive Systems—A Moment of Reflection. Electronics. 9(5). 780–780. 25 indexed citations
3.
Girardi, Francesco, et al.. (2020). Improving the Healthcare Effectiveness: The Possible Role of EHR, IoMT and Blockchain. Electronics. 9(6). 884–884. 48 indexed citations
4.
Dimauro, Giovanni & Francesco Girardi. (2019). Italian Parkinson's Voice and Speech. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 18 indexed citations
5.
Dimauro, Giovanni, et al.. (2019). Detecting Clinical Signs of Anaemia From Digital Images of the Palpebral Conjunctiva. IEEE Access. 7. 113488–113498. 41 indexed citations
6.
Dimauro, Giovanni, et al.. (2018). Nasal cytology with deep learning techniques. International Journal of Medical Informatics. 122. 13–19. 39 indexed citations
7.
Dimauro, Giovanni, et al.. (2018). Automatic Segmentation of Relevant Sections of the Conjunctiva for Non-Invasive Anemia Detection. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1–5. 23 indexed citations
8.
Dimauro, Giovanni, Danilo Caivano, & Francesco Girardi. (2018). A New Method and a Non-Invasive Device to Estimate Anemia Based on Digital Images of the Conjunctiva. IEEE Access. 6. 46968–46975. 62 indexed citations
9.
Dimauro, Giovanni, Vincenzo Di Nicola, Vitoantonio Bevilacqua, Danilo Caivano, & Francesco Girardi. (2017). Assessment of Speech Intelligibility in Parkinson’s Disease Using a Speech-To-Text System. IEEE Access. 5. 22199–22208. 87 indexed citations
10.
Bevilacqua, Vitoantonio, Giovanni Dimauro, Francescomaria Marino, et al.. (2016). A novel approach to evaluate blood parameters using computer vision techniques. Open Repository and Bibliography (University of Luxembourg). 1–6. 46 indexed citations
11.
Dimauro, Giovanni, et al.. (2016). VoxTester, software for digital evaluation of speech changes in Parkinson disease. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1–6. 28 indexed citations
12.
Bevilacqua, Vitoantonio, Domenico Buongiorno, Attilio Guarini, et al.. (2015). A supervised CAD to support telemedicine in hematology. 9 indexed citations
13.
Dimauro, Giovanni, Danilo Caivano, Francesco Girardi, & Marco Matteo Ciccone. (2014). The patient centered Electronic Multimedia Health Fascicle - EMHF. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 297. 61–66. 18 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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