Nicolás Ballarini

460 total citations
22 papers, 272 citations indexed

About

Nicolás Ballarini is a scholar working on Statistics and Probability, Genetics and Emergency Medicine. According to data from OpenAlex, Nicolás Ballarini has authored 22 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 4 papers in Genetics and 4 papers in Emergency Medicine. Recurrent topics in Nicolás Ballarini's work include Statistical Methods in Clinical Trials (8 papers), Cardiac Arrest and Resuscitation (4 papers) and Biosimilars and Bioanalytical Methods (3 papers). Nicolás Ballarini is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Cardiac Arrest and Resuscitation (4 papers) and Biosimilars and Bioanalytical Methods (3 papers). Nicolás Ballarini collaborates with scholars based in Austria, United States and United Kingdom. Nicolás Ballarini's co-authors include Franz König, Gerald Gartlehner, Anna H Noel-Storr, Gordon Dooley, Lisa Affengruber, Viktoria Titscher, Martin Posch, Thomas Jaki, G. Rosenkranz and Günther Laufer and has published in prestigious journals such as PLoS ONE, Neurology and Journal of Clinical Epidemiology.

In The Last Decade

Nicolás Ballarini

21 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolás Ballarini Austria 10 66 43 36 33 27 22 272
Luis Montoya Canada 8 20 0.3× 59 1.4× 41 1.1× 18 0.5× 27 1.0× 19 315
Mengli Xiao United States 9 23 0.3× 25 0.6× 20 0.6× 31 0.9× 9 0.3× 36 219
Maria Sudell United Kingdom 7 46 0.7× 33 0.8× 26 0.7× 34 1.0× 7 0.3× 12 427
Kevin M. Fain United States 8 50 0.8× 86 2.0× 140 3.9× 25 0.8× 38 1.4× 16 418
Melissa K. Sharp United Kingdom 8 22 0.3× 54 1.3× 34 0.9× 14 0.4× 27 1.0× 23 210
Yiyue Lou United States 10 26 0.4× 21 0.5× 53 1.5× 62 1.9× 51 1.9× 32 969
Victoria Bartlett United States 7 40 0.6× 10 0.2× 67 1.9× 19 0.6× 19 0.7× 16 312
Jessica Fleminger United Kingdom 8 25 0.4× 80 1.9× 68 1.9× 104 3.2× 14 0.5× 16 360
Antonio Carlos Pedroso de Lima Brazil 11 36 0.5× 7 0.2× 23 0.6× 21 0.6× 29 1.1× 19 279
Silvia Metelli United Kingdom 5 21 0.3× 12 0.3× 11 0.3× 36 1.1× 12 0.4× 11 250

Countries citing papers authored by Nicolás Ballarini

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Ballarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Ballarini

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Ballarini. A scholar is included among the top collaborators of Nicolás Ballarini 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 Nicolás Ballarini. Nicolás Ballarini 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.
Sanz, Héctor, Wilhelmina E. Hoogendoorn, Nicolás Ballarini, et al.. (2024). Examining the Effect of Missing Data and Unmeasured Confounding on External Comparator Studies: Case Studies and Simulations. Drug Safety. 47(12). 1245–1263. 2 indexed citations
2.
Darras, Basil T., Eugenio Mercuri, John Day, et al.. (2023). P211 Intravenous and intrathecal onasemnogene abeparvovec gene therapy in symptomatic and presymptomatic spinal muscular atrophy (SMA): long-term follow-up study. Neuromuscular Disorders. 33. S87–S87. 1 indexed citations
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Ballarini, Nicolás, et al.. (2022). A Review of Causal Inference for External Comparator Arm Studies. Drug Safety. 45(8). 815–837. 14 indexed citations
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Ballarini, Nicolás, et al.. (2021). Optimizing subgroup selection in two‐stage adaptive enrichment and umbrella designs. Statistics in Medicine. 40(12). 2939–2956. 12 indexed citations
7.
Ballarini, Nicolás, et al.. (2021). subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials. Journal of Statistical Software. 99(14). 6 indexed citations
8.
Berghoff, Anna S., Angelika M. Starzer, Nicolás Ballarini, et al.. (2020). Hypothyroidism correlates with favourable survival prognosis in patients with brain metastatic cancer. European Journal of Cancer. 135. 150–158. 12 indexed citations
9.
Ballarini, Nicolás, Yi‐Da Chiu, Franz König, Martin Posch, & Thomas Jaki. (2020). A critical review of graphics for subgroup analyses in clinical trials. Pharmaceutical Statistics. 19(5). 541–560. 14 indexed citations
10.
Gartlehner, Gerald, Lisa Affengruber, Viktoria Titscher, et al.. (2020). Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd-based, randomized controlled trial. Journal of Clinical Epidemiology. 121. 20–28. 103 indexed citations
11.
Ristl, Robin, et al.. (2020). Delayed treatment effects, treatment switching and heterogeneous patient populations: How to design and analyzeRCTsin oncology. Pharmaceutical Statistics. 20(1). 129–145. 18 indexed citations
12.
Ballarini, Nicolás & Yi‐Da Chiu. (2020). Graphical Displays for Subgroup Analysis in Clinical Trials [R package SubgrPlots version 0.1.3]. 1 indexed citations
13.
Mielke, Johanna, et al.. (2018). The Assessment of Quality Attributes for Biosimilars: a Statistical Perspective on Current Practice and a Proposal. The AAPS Journal. 21(1). 7–7. 3 indexed citations
14.
Ballarini, Nicolás, G. Rosenkranz, Thomas Jaki, Franz König, & Martin Posch. (2018). Subgroup identification in clinical trials via the predicted individual treatment effect. PLoS ONE. 13(10). e0205971–e0205971. 30 indexed citations
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Carney, Nancy, et al.. (2017). Creating Leaders: A Pilot Pre/Post Evaluation of an Ontological/Phenomenological Model. SSRN Electronic Journal. 1 indexed citations
17.
Vavilala, Monica S., Silvia Lujan, Gustavo Petroni, et al.. (2016). Benchmarking Prehospital and Emergency Department Care for Argentine Children with Traumatic Brain Injury: For the South American Guideline Adherence Group. PLoS ONE. 11(12). e0166478–e0166478. 9 indexed citations
18.
Carney, Nancy, et al.. (2016). Creating Leaders: A Pilot Pre/Post Evaluation of an Ontological/Phenomenological Model. Journal of Leadership Education. 15(4). 50–56. 1 indexed citations
19.
Carney, Nancy, Gustavo Petroni, Silvia Lujan, et al.. (2016). Postdischarge Care of Pediatric Traumatic Brain Injury in Argentina: A Multicenter Randomized Controlled Trial*. Pediatric Critical Care Medicine. 17(7). 658–666. 8 indexed citations
20.
Roth, Mary R., Ananta Bangdiwala, Nicolás Ballarini, et al.. (2015). Evaluation of the Impact of Anti-Thymocyte Globulin (ATG) on Post-Hematopoietic Cell Transplant (HCT) Outcomes in Patients Undergoing Allogeneic HCT. Biology of Blood and Marrow Transplantation. 21(2). S121–S122. 1 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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