Fabio Manca

444 total citations
29 papers, 301 citations indexed

About

Fabio Manca is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Fabio Manca has authored 29 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Fabio Manca's work include Statistical Distribution Estimation and Applications (3 papers), Bayesian Methods and Mixture Models (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Fabio Manca is often cited by papers focused on Statistical Distribution Estimation and Applications (3 papers), Bayesian Methods and Mixture Models (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Fabio Manca collaborates with scholars based in Italy and United States. Fabio Manca's co-authors include Mariateresa Giglio, Filomena Puntillo, Francesco Bruno, Giuseppina Caggiano, Maria Teresa Montagna, Donato Impedovo, Vincenzo Dentamaro, Marco Matteo Ciccone, Pietro Scicchitano and Caterina Coretti and has published in prestigious journals such as PLoS ONE, Pain and International Journal of Molecular Sciences.

In The Last Decade

Fabio Manca

28 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Manca Italy	11	53	48	47	47	40	29	301
Dong Jin Chang South Korea	12	58 1.1×	79 1.6×	24 0.5×	6 0.1×	37 0.9×	49	555
Michael Terry United States	13	14 0.3×	72 1.5×	14 0.3×	14 0.3×	148 3.7×	27	425
Yuan Cao China	14	15 0.3×	23 0.5×	63 1.3×	5 0.1×	19 0.5×	29	393
Chris Bain Australia	11	31 0.6×	72 1.5×	26 0.6×	5 0.1×	16 0.4×	21	322
Jichun Xie United States	15	139 2.6×	82 1.7×	35 0.7×	36 0.8×	44 1.1×	39	500
Qinghui Wang China	12	19 0.4×	62 1.3×	64 1.4×	18 0.4×	32 0.8×	31	425
Patrick St‐Louis Canada	8	35 0.7×	95 2.0×	23 0.5×	7 0.1×	70 1.8×	14	367
Weina Lu China	14	14 0.3×	143 3.0×	46 1.0×	7 0.1×	92 2.3×	36	499
Joshua Colvin United States	12	45 0.8×	262 5.5×	26 0.6×	19 0.4×	7 0.2×	20	483

Countries citing papers authored by Fabio Manca

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Manca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Manca

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

All Works

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20 of 20 papers shown

Dentamaro, Vincenzo, et al.. (2024). Human activity recognition with smartphone-integrated sensors: A survey. Expert Systems with Applications. 246. 123143–123143. 29 indexed citations

Bilancia, Massimo, et al.. (2023). A dynamic causal modeling of the second outbreak of COVID-19 in Italy. AStA Advances in Statistical Analysis. 108(1). 1–30. 1 indexed citations

Principi, Mariabeatrice, Pietro Scicchitano, Annagrazia Cecere, et al.. (2022). Influence of systemic manifestations of inflammatory bowel diseases on endothelial function and cardiovascular risk. Minerva Medica. 113(2). 291–299. 4 indexed citations

D’Uggento, Angela Maria, et al.. (2022). A text data mining approach to the study of emotions triggered by new advertising formats during the COVID-19 pandemic. Quality & Quantity. 57(3). 2303–2325. 2 indexed citations

Scicchitano, Pietro, Carlo D’Agostino, Pasquale Caldarola, et al.. (2021). The Diagnosis of Acute Myocarditis in Emergency (DAME) score: improving diagnostics within the emergency department.. European Journal of Internal Medicine. 85. 56–62. 3 indexed citations

Campobasso, Francesco, et al.. (2021). A proposal of new disnormality indexes. Communication in Statistics- Theory and Methods. 52(5). 1548–1563. 1 indexed citations

Massaro, Alessandro, et al.. (2020). Innovative DSS for intelligent monitoring and urban square design approaches: A case of study. Sustainable Cities and Society. 65. 102653–102653. 15 indexed citations

Manca, Fabio, et al.. (2018). Customer segmentation through multiple correspondence analysis. 1–5. 1 indexed citations

Manca, Fabio, et al.. (2018). Recommendation System using Hybrid Fuzzy Association Rules for Human Smart Cities. 1–5. 3 indexed citations

10.

Ciccone, Marco Matteo, Giuseppe Loverro, Pietro Scicchitano, et al.. (2017). Surgical and pharmacological reassignment: influence on transsexual cardiovascular risk profile. Internal Medicine Journal. 47(11). 1255–1262. 6 indexed citations

11.

Manca, Fabio, et al.. (2016). MULTIPLE CORRESPONDENCE ANALYSIS FOR CUSTOMER SEGMENTATION IN LARGE RETAIL GROUPS.. Electronic journal of applied statistical analysis. 4(4). 1–18. 2 indexed citations

12.

Carbonara, Rosa, Annapaola Zito, Pietro Scicchitano, et al.. (2016). Neuro-Psychological Pattern in Patients Suffering from Primitive Dilated Cardiomyopathy with Impairment in Executive Function. Current Neurovascular Research. 14(1). 39–45. 3 indexed citations

13.

Marzullo, Andrea, Francesca Ambrosi, Fabio Manca, et al.. (2016). ST2L Transmembrane Receptor Expression: An Immunochemical Study on Endarterectomy Samples. PLoS ONE. 11(5). e0156315–e0156315. 21 indexed citations

14.

Manca, Fabio, et al.. (2016). The Mean Difference for Lognormal Distribution. Applied Mathematics. 7(9). 824–828. 2 indexed citations

15.

Manca, Fabio, et al.. (2015). The mean difference of dscrete distibution models. 1–6. 3 indexed citations

16.

Montagna, Maria Teresa, Caterina Coretti, Antonella Rella, et al.. (2012). The role of procalcitonin in neonatal intensive care unit patients with candidemia. Folia Microbiologica. 58(1). 27–31. 10 indexed citations

17.

Baldassarre, Maria Elisabetta, Antonietta Fontana, Fabio Manca, et al.. (2012). Usefulness of tissue transglutaminase type 2 antibodies in early pregnancy. Immunopharmacology and Immunotoxicology. 34(6). 932–936. 2 indexed citations

18.

Giglio, Mariateresa, et al.. (2011). Intrathecal combination of ziconotide and morphine for refractory cancer pain: A rapidly acting and effective choice. Pain. 153(1). 245–249. 73 indexed citations

19.

Caggiano, Giuseppina, et al.. (2007). Observational study on candidaemia at a university hospital in southern Italy from 1998 to 2004. Mycoses. 51(2). 123–128. 19 indexed citations

20.

Delvecchio, Maurizio, Mariacarolina Salerno, Angelo Acquafredda, et al.. (2006). Factors predicting final height in early treated congenital hypothyroid patients. Clinical Endocrinology. 65(5). 693–697. 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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