Antonio Gullì

2.0k total citations
21 papers, 865 citations indexed

About

Antonio Gullì is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Antonio Gullì has authored 21 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 8 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Antonio Gullì's work include Web Data Mining and Analysis (12 papers), Complex Network Analysis Techniques (4 papers) and COVID-19 Clinical Research Studies (3 papers). Antonio Gullì is often cited by papers focused on Web Data Mining and Analysis (12 papers), Complex Network Analysis Techniques (4 papers) and COVID-19 Clinical Research Studies (3 papers). Antonio Gullì collaborates with scholars based in Italy, United States and Netherlands. Antonio Gullì's co-authors include Alessio Signorini, Paolo Ferragina, Francesco Romani, Gianna M. Del Corso, Giuseppe Attardi, Fabrizio Sebastiani, Marcello Candelli, Veronica Ojetti, Giulia Pignataro and Antonio Gasbarrini and has published in prestigious journals such as Current Medicinal Chemistry, Cancers and Journal of Computational and Applied Mathematics.

In The Last Decade

Antonio Gullì

21 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Gullì Italy 12 490 386 147 132 122 21 865
Edgar Meij Netherlands 18 480 1.0× 880 2.3× 96 0.7× 91 0.7× 93 0.8× 80 1.1k
Jyun‐Yu Jiang United States 14 215 0.4× 389 1.0× 93 0.6× 30 0.2× 39 0.3× 49 665
Kun-Ta Chuang Taiwan 14 140 0.3× 195 0.5× 106 0.7× 34 0.3× 87 0.7× 53 492
Conor Hayes Ireland 16 422 0.9× 379 1.0× 76 0.5× 151 1.1× 151 1.2× 77 808
Shady Elbassuoni Lebanon 19 340 0.7× 822 2.1× 122 0.8× 126 1.0× 134 1.1× 55 1.3k
Yuan Yao China 18 525 1.1× 425 1.1× 179 1.2× 75 0.6× 146 1.2× 77 947
Minas Gjoka United States 15 244 0.5× 388 1.0× 105 0.7× 648 4.9× 535 4.4× 28 1.2k
Hai Leong Chieu Singapore 16 288 0.6× 953 2.5× 61 0.4× 121 0.9× 45 0.4× 34 1.1k
Sean Kandel United States 8 126 0.3× 214 0.6× 90 0.6× 24 0.2× 114 0.9× 10 644

Countries citing papers authored by Antonio Gullì

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Gullì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Gullì

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Gullì. A scholar is included among the top collaborators of Antonio Gullì 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 Antonio Gullì. Antonio Gullì 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.
Sotgiu, Giovanni, Giuseppe Bello, Mariangela Valentina Puci, et al.. (2023). Thirty-Day Complications, Unplanned Hospital Encounters, and Mortality after Endosonography and/or Guided Bronchoscopy: A Prospective Study. Cancers. 15(18). 4531–4531. 2 indexed citations
2.
Candelli, Marcello, Giulia Pignataro, Angela Saviano, et al.. (2023). Is BMI Associated with COVID-19 Severity? A Retrospective ObservationalStudy. Current Medicinal Chemistry. 30(39). 4466–4478. 5 indexed citations
3.
Candelli, Marcello, Giulia Pignataro, Antonio Gullì, et al.. (2021). Effect of influenza vaccine on COVID-19 mortality: a retrospective study. Internal and Emergency Medicine. 16(7). 1849–1855. 53 indexed citations
4.
Ferrone, Giuliano, Giorgia Spinazzola, Raphael Bermal Costa, et al.. (2021). Comparative bench study evaluation of a modified snorkeling mask used during COVID-19 pandemic and standard interfaces for non-invasive ventilation. Pulmonology. 29(1). 20–28. 5 indexed citations
5.
Candelli, Marcello, Giulia Pignataro, Sara Cicchinelli, et al.. (2021). Factors Associated with ICU Admission in Patients with COVID-19: The GOL2DS Score. Medicina. 57(12). 1356–1356. 4 indexed citations
6.
Gullì, Antonio. (2017). Deep learning with Keras: implement neural networks with Keras on Theano and TensorFlow. CERN Document Server (European Organization for Nuclear Research). 46 indexed citations
7.
Gullì, Antonio & Amita Kapoor. (2017). TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
8.
Wade, Alex D., Kuansan Wang, Yizhou Sun, & Antonio Gullì. (2016). WSDM Cup 2016. 593–594. 13 indexed citations
9.
Ferragina, Paolo & Antonio Gullì. (2007). A personalized search engine based on Web‐snippet hierarchical clustering. Software Practice and Experience. 38(2). 189–225. 35 indexed citations
10.
Corso, Gianna M. Del, Antonio Gullì, & Francesco Romani. (2006). Comparison of Krylov subspace methods on the PageRank problem. Journal of Computational and Applied Mathematics. 210(1-2). 159–166. 22 indexed citations
11.
Ferragina, Paolo & Antonio Gullì. (2005). The Anatomy of a Hierarchical Clustering Engine for Web-page, News and Book Snippets. CINECA IRIS Institutial research information system (University of Pisa). rj 10186. 395–398. 11 indexed citations
12.
Corso, Gianna M. Del, Antonio Gullì, & Francesco Romani. (2005). Fast PageRank Computation via a Sparse Linear System. Internet Mathematics. 2(3). 251–273. 67 indexed citations
13.
Ferragina, Paolo & Antonio Gullì. (2005). A personalized search engine based on web-snippet hierarchical clustering. CINECA IRIS Institutial research information system (University of Pisa). 801–801. 113 indexed citations
14.
Gullì, Antonio & Alessio Signorini. (2005). The indexable web is more than 11.5 billion pages. 902–902. 257 indexed citations
15.
Gullì, Antonio & Alessio Signorini. (2005). Building an open source meta-search engine. 1004–1004. 25 indexed citations
16.
Corso, Gianna M. Del, Antonio Gullì, & Francesco Romani. (2005). Ranking a stream of news. CINECA IRIS Institutial research information system (University of Pisa). 97–97. 94 indexed citations
17.
Corso, Gianna M. Del, Antonio Gullì, & Francesco Romani. (2004). Fast PageRank computation via a sparse linear system. Project Euclid (Cornell University). 118–130. 4 indexed citations
18.
Corso, Gianna M. Del, Antonio Gullì, & Francesco Romani. (2004). Exploiting Web matrix permutations to speedup PageRank computation. CINECA IRIS Institutial research information system (University of Pisa). 3 indexed citations
19.
Attardi, Giuseppe & Antonio Gullì. (2000). Theseus: Categorization by Context. 10 indexed citations
20.
Attardi, Giuseppe, Antonio Gullì, & Fabrizio Sebastiani. (1999). Automatic Web Page Categorization by Link and Context Analysis. CINECA IRIS Institutial research information system (University of Pisa). 76 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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