Stefano Monni

870 total citations
20 papers, 352 citations indexed

About

Stefano Monni is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Stefano Monni has authored 20 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Stefano Monni's work include Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers). Stefano Monni is often cited by papers focused on Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers). Stefano Monni collaborates with scholars based in United States, Germany and Lebanon. Stefano Monni's co-authors include Timothy M. D’Alfonso, Sandra J. Shin, Paul Peter Rosen, Yifang Liu, Rudolf Kaaks, Mahlet G. Tadesse, Christoph Lichy, Manja Kloß, Kaja Tikk and Disorn Sookthai and has published in prestigious journals such as Cancer, Stroke and Radiology.

In The Last Decade

Stefano Monni

16 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Monni United States	9	111	92	84	73	42	20	352
Eui Keun Ham South Korea	10	121 1.1×	114 1.2×	30 0.4×	79 1.1×	40 1.0×	17	321
Eric R. Weiss United States	16	40 0.4×	216 2.3×	153 1.8×	158 2.2×	24 0.6×	29	610
Meagan Gray United States	9	29 0.3×	84 0.9×	98 1.2×	37 0.5×	17 0.4×	29	490
Aline Lopes Chagas Brazil	13	25 0.2×	86 0.9×	59 0.7×	71 1.0×	40 1.0×	38	447
W Schoell Austria	12	17 0.2×	69 0.8×	198 2.4×	64 0.9×	34 0.8×	23	465
Elisabetta Degasperi Italy	19	29 0.3×	51 0.6×	102 1.2×	32 0.4×	14 0.3×	82	1.2k
Sophie Félix France	11	65 0.6×	148 1.6×	70 0.8×	106 1.5×	50 1.2×	23	403
Leonieke M. M. Wolters Netherlands	14	54 0.5×	159 1.7×	52 0.6×	56 0.8×	103 2.5×	20	673
Rajyasree Emmadi United States	12	77 0.7×	37 0.4×	154 1.8×	110 1.5×	55 1.3×	32	463

Countries citing papers authored by Stefano Monni

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Monni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Monni

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Monni. A scholar is included among the top collaborators of Stefano Monni 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 Stefano Monni. Stefano Monni 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

Monni, Stefano, et al.. (2022). A framework for reconstructing transmission networks in infectious diseases. Applied Network Science. 7(1). 85–85.

Banerjee, Samprit & Stefano Monni. (2020). An orthogonally equivariant estimator of the covariance matrix in high dimensions and for small sample sizes. Journal of Statistical Planning and Inference. 213. 16–32. 2 indexed citations

Banerjee, Samprit, Stefano Monni, & Martin T. Wells. (2016). A regularized profile likelihood approach to covariance matrix estimation. Journal of Statistical Planning and Inference. 179. 36–59. 3 indexed citations

Cabras, Francesco, et al.. (2015). HL7apy: a Python library to parse, create and handle HL7 v2.x messages. 11(2). 1 indexed citations

Li, Kuanrong, Stefano Monni, Anika Hüsing, et al.. (2014). Primary preventive potential of major lifestyle risk factors for acute myocardial infarction in men: an analysis of the EPIC-Heidelberg cohort. European Journal of Epidemiology. 29(1). 27–34. 7 indexed citations

Tikk, Kaja, Disorn Sookthai, Stefano Monni, et al.. (2014). Primary Preventive Potential for Stroke by Avoidance of Major Lifestyle Risk Factors. Stroke. 45(7). 2041–2046. 39 indexed citations

Ferrari, Pietro, Stefano Monni, Laure Dossus, et al.. (2014). Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method. Metabolomics. 10(6). 1074–1083. 22 indexed citations

Monni, Stefano. (2013). Bayesian variable selection for correlated covariates via colored cliques. AStA Advances in Statistical Analysis. 98(2). 143–163.

Parashar, B., Priti Patel, Prabhsimranjot Singh, et al.. (2011). Management of Single Malignant Lung Nodules in Elderly Patients (70 Years or Older) Who are Not Candidates for Lobectomy. American Journal of Clinical Oncology. 35(5). 480–485. 8 indexed citations

10.

Michelle, W., Stefano Monni, Amy Rose, et al.. (2011). A High Proliferative Index of Recurrent Melanoma Is Associated with Worse Survival. Oncology. 80(3-4). 181–187. 14 indexed citations

11.

Rose, Amy, Guimin Wang, Douglas Hanniford, et al.. (2010). Clinical relevance of SKP2 alterations in metastatic melanoma. Pigment Cell & Melanoma Research. 24(1). 197–206. 43 indexed citations

12.

Parashar, B., Priti Patel, Stefano Monni, et al.. (2010). Limited resection followed by intraoperative seed implantation is comparable to stereotactic body radiotherapy for solitary lung cancer. Cancer. 116(21). 5047–5053. 18 indexed citations

13.

Monni, Stefano & Hongzhe Li. (2010). Bayesian Methods for Network-Structured Genomics Data. Collection of Biostatistics Research Archive. 4 indexed citations

14.

D’Alfonso, Timothy M., Yifang Liu, Stefano Monni, Paul Peter Rosen, & Sandra J. Shin. (2010). Accurately Assessing HER-2/neu Status in Needle Core Biopsies of Breast Cancer Patients in the Era of Neoadjuvant Therapy: Emerging Questions and Considerations Addressed. The American Journal of Surgical Pathology. 34(4). 575–581. 46 indexed citations

15.

Patel, Priti, Dattatreyudu Nori, Stefano Monni, et al.. (2010). Outcomes of Patients in ASTRO's Cautionary Group Treated with Accelerated Partial Breast Irradiation (APBI). International Journal of Radiation Oncology*Biology*Physics. 78(3). S220–S220.

16.

Monni, Stefano & Mahlet G. Tadesse. (2009). A stochastic partitioning method to associate high-dimensional responses and covariates. Bayesian Analysis. 4(3). 12 indexed citations

17.

Monni, Stefano & Hongzhe Li. (2008). Vertex Clustering in Random Graphs via Reversible Jump Markov Chain Monte Carlo. Journal of Computational and Graphical Statistics. 17(2). 388–409. 3 indexed citations

18.

Monni, Stefano, Jun S. Song, & Yun S. Song. (2003). The Hurwitz enumeration problem of branched covers and Hodge integrals. Journal of Geometry and Physics. 50(1-4). 223–256. 11 indexed citations

19.

Monni, Stefano, et al.. (1990). Hydatid disease: MR imaging study.. Radiology. 175(3). 701–706. 119 indexed citations

20.

Monni, Stefano, et al.. (1984). [Prevention of gastroesophageal reflux. Validity of hemifundoplication according to Cor-Casolo (experimental study)].. PubMed. 36(2). 151–78.

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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