Roberto Pirrone

1.3k total citations
98 papers, 702 citations indexed

About

Roberto Pirrone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Roberto Pirrone has authored 98 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Roberto Pirrone's work include Medical Image Segmentation Techniques (19 papers), Semantic Web and Ontologies (14 papers) and Natural Language Processing Techniques (8 papers). Roberto Pirrone is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Semantic Web and Ontologies (14 papers) and Natural Language Processing Techniques (8 papers). Roberto Pirrone collaborates with scholars based in Italy, United Kingdom and Argentina. Roberto Pirrone's co-authors include Orazio Gambino, Edoardo Ardizzone, Antonio Chella, Salvatore Vitabile, Leonardo Rundo, Evis Sala, Roberto Gallea, Giuseppe Russo, Kamilla Rún Jóhannsdóttir and Salvatore Gaglio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.

In The Last Decade

Roberto Pirrone

85 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Pirrone Italy 15 232 229 129 53 47 98 702
Melike Şah Cyprus 12 436 1.9× 314 1.4× 141 1.1× 58 1.1× 64 1.4× 39 861
Giovanni Luca Masala Italy 16 166 0.7× 305 1.3× 189 1.5× 68 1.3× 151 3.2× 60 867
Muhammad Imran Sharif Pakistan 15 364 1.6× 308 1.3× 225 1.7× 79 1.5× 97 2.1× 47 1.0k
Jianjia Wang China 17 147 0.6× 355 1.6× 88 0.7× 72 1.4× 90 1.9× 56 940
Jonathan Passerat‐Palmbach United Kingdom 10 233 1.0× 365 1.6× 256 2.0× 66 1.2× 79 1.7× 18 773
Abdul Khader Jilani Saudagar Saudi Arabia 18 238 1.0× 442 1.9× 231 1.8× 109 2.1× 73 1.6× 110 1.2k
Zhengliang Liu United States 17 119 0.5× 460 2.0× 220 1.7× 46 0.9× 46 1.0× 51 1.1k
Md. Saddam Hossain Mukta Bangladesh 14 119 0.5× 420 1.8× 107 0.8× 87 1.6× 33 0.7× 56 880
Wentao Chen China 17 111 0.5× 216 0.9× 100 0.8× 78 1.5× 37 0.8× 75 973

Countries citing papers authored by Roberto Pirrone

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Pirrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Pirrone

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

All Works

20 of 20 papers shown
1.
2.
Gambino, Orazio, et al.. (2024). IODeep: An IOD for the introduction of deep learning in the DICOM standard. Computer Methods and Programs in Biomedicine. 248. 108113–108113. 2 indexed citations
3.
Perricone, Ugo, et al.. (2022). EMBER—Embedding Multiple Molecular Fingerprints for Virtual Screening. International Journal of Molecular Sciences. 23(4). 2156–2156. 10 indexed citations
4.
Gambino, Orazio, et al.. (2021). Head–Neck Cancer Delineation. Applied Sciences. 11(6). 2721–2721. 5 indexed citations
5.
Bruno, Alessandro, et al.. (2020). A Multi-Scale Colour and Keypoint Density-Based Approach for Visual Saliency Detection. IEEE Access. 8. 121330–121343. 15 indexed citations
6.
Rundo, Leonardo, Roberto Pirrone, Salvatore Vitabile, Evis Sala, & Orazio Gambino. (2020). Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine. Journal of Biomedical Informatics. 108. 103479–103479. 75 indexed citations
7.
Gambino, Orazio, et al.. (2018). A framework for data-driven adaptive GUI generation based on DICOM. Journal of Biomedical Informatics. 88. 37–52. 17 indexed citations
8.
Stefano, Alessandro, Salvatore Vitabile, G. Russo, et al.. (2016). An enhanced random walk algorithm for delineation of head and neck cancers in PET studies. Medical & Biological Engineering & Computing. 55(6). 897–908. 27 indexed citations
9.
Ardizzone, Edoardo, Roberto Pirrone, Orazio Gambino, & Salvatore Vitabile. (2014). Illumination Correction on Biomedical Images. Nova Science Publishers (Nova Science Publishers, Inc.). 33(1). 175–196. 2 indexed citations
10.
Pirrone, Roberto, et al.. (2010). Agenti intelligenti supporto dell’interazione con l’utente all’interno di processi di apprendimento auto-regolato. U-PAD Unimc - Open Digital Publications (University of Macerata). 6(2). 27–36. 2 indexed citations
11.
Russo, Giuseppe, et al.. (2010). A Framework to Induce Self-Regulation Through a Metacognitive Tutor. Nova Science Publishers (Nova Science Publishers, Inc.). 2 indexed citations
12.
Pirrone, Roberto, Roger Azevedo, & Gautam Biswas. (2009). Cognitive and metacognitive educational systems : papers from the AAAI Fall Symposium. 1 indexed citations
13.
Russo, Giuseppe, et al.. (2009). Acquisition of New Knowledge In TutorJ. Nova Science Publishers (Nova Science Publishers, Inc.). 3 indexed citations
14.
Pirrone, Roberto, et al.. (2009). Managing Conversation Uncertainty in TutorJ. Nova Science Publishers (Nova Science Publishers, Inc.). 2 indexed citations
15.
Insola, Angelo, et al.. (2005). Usefulness of a comprehensive neurophysiological assessment for early diagnosis and prognosis of traumatic brachial plexus injuries.. PubMed. 45(4). 209–17. 2 indexed citations
16.
Ardizzone, Edoardo, Roberto Pirrone, & Orazio Gambino. (2005). Exponential Entropy Driven HUM on Knee MR Images. PubMed. 2005. 1769–1772. 11 indexed citations
17.
Pirrone, Roberto, Edoardo Ardizzone, Salvatore Gaglio, et al.. (2004). Three-dimensional geometrical models of the inguinal region. Towards a new stereology.. Nova Science Publishers (Nova Science Publishers, Inc.). 108(4). 223–30.
18.
Ardizzone, Edoardo, Roberto Pirrone, & Orazio Gambino. (2004). Watershed based Detection of Multiple Sclerosis Lesions in MR Images. Nova Science Publishers (Nova Science Publishers, Inc.). 1. 252–256. 1 indexed citations
19.
Chella, Antonio, Massimo Cossentino, Ignazio Infantino, & Roberto Pirrone. (2001). An Agent Based Design Process for Cognitive Architectures in Robotics.. 86–91. 4 indexed citations
20.
Pirrone, Roberto. (2001). Part-Based Segmentation and Modeling of Range Data by Moving Target. Journal of Intelligent Systems. 11(4). 217–248.

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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