Victoria Gamerman

534 total citations
16 papers, 354 citations indexed

About

Victoria Gamerman is a scholar working on Statistics and Probability, General Health Professions and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Victoria Gamerman has authored 16 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in General Health Professions and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Victoria Gamerman's work include Diabetes Management and Education (4 papers), Advanced Causal Inference Techniques (4 papers) and Patient-Provider Communication in Healthcare (4 papers). Victoria Gamerman is often cited by papers focused on Diabetes Management and Education (4 papers), Advanced Causal Inference Techniques (4 papers) and Patient-Provider Communication in Healthcare (4 papers). Victoria Gamerman collaborates with scholars based in United States, Germany and Saudi Arabia. Victoria Gamerman's co-authors include Tianxi Cai, Amelie Elsäßer, Phyllis A. Gimotty, Stephen C. Rubin, Jean Boyer, Christina Chu, Daniel S. Schullery, James Bender, Bruce L. Levine and Mark A. Morgan and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Statistics in Medicine and Gynecologic Oncology.

In The Last Decade

Victoria Gamerman

16 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victoria Gamerman United States	9	107	90	74	57	53	16	354
Mario Šekerija Croatia	13	157 1.5×	25 0.3×	26 0.4×	103 1.8×	40 0.8×	53	487
Diane J. Fink United States	9	150 1.4×	39 0.4×	55 0.7×	15 0.3×	41 0.8×	18	394
José Luis Muñoz de Nova Spain	11	125 1.2×	21 0.2×	34 0.5×	53 0.9×	54 1.0×	61	352
Hironori Takeuchi Japan	9	47 0.4×	65 0.7×	24 0.3×	17 0.3×	39 0.7×	28	309
Michael Richardson United States	10	77 0.7×	35 0.4×	53 0.7×	10 0.2×	24 0.5×	37	296
Annie Hung United States	8	124 1.2×	56 0.6×	32 0.4×	42 0.7×	22 0.4×	32	335
Samir P. Desai United States	7	54 0.5×	9 0.1×	66 0.9×	19 0.3×	53 1.0×	12	297
Andrea Sitlinger United States	8	128 1.2×	17 0.2×	49 0.7×	9 0.2×	22 0.4×	25	320
L. Lévy-Bachelot France	11	93 0.9×	15 0.2×	63 0.9×	36 0.6×	18 0.3×	49	393

Countries citing papers authored by Victoria Gamerman

Since Specialization

Citations

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

Fields of papers citing papers by Victoria Gamerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Gamerman

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

All Works

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16 of 16 papers shown

Bender, Shaun, et al.. (2021). The first‐order Markov conditional linear expectation approach for analysis of longitudinal data. Statistics in Medicine. 40(8). 1972–1988. 1 indexed citations

Edelman, Steven V., Anne Belton, Aus Alzaid, et al.. (2019). Physician–patient communication at prescription of an additional oral drug for type 2 diabetes and its links to patient outcomes – New findings from the global IntroDia® study. Diabetes Research and Clinical Practice. 149. 89–97. 14 indexed citations

Alzaid, Aus, William H. Polonsky, Anne Belton, et al.. (2019). Physician experiences when discussing the need for additional oral medication with type 2 diabetes patients: Insights from the cross-national IntroDia® study. Diabetes Research and Clinical Practice. 148. 179–188. 4 indexed citations

Gamerman, Victoria, Tianxi Cai, & Amelie Elsäßer. (2018). Pragmatic randomized clinical trials: best practices and statistical guidance. Health Services and Outcomes Research Methodology. 19(1). 23–35. 62 indexed citations

Polonsky, William H., Matthew Capehorn, Anne Belton, et al.. (2017). Physician–patient communication at diagnosis of type 2 diabetes and its links to patient outcomes: New results from the global IntroDia® study. Diabetes Research and Clinical Practice. 127. 265–274. 41 indexed citations

Capehorn, Matthew, et al.. (2017). Challenges faced by physicians when discussing the Type 2 diabetes diagnosis with patients: insights from a cross‐national study (IntroDia^®). Diabetic Medicine. 34(8). 1100–1107. 15 indexed citations

Paoletti, Luca, Scott M. Palmer, Eric Yow, et al.. (2017). Underutilization of Lung Transplant Referral Among Patients with Newly Diagnosed Idiopathic Pulmonary Fibrosis (IPF). The Journal of Heart and Lung Transplantation. 36(4). S115–S115. 2 indexed citations

O’Brien, Emily C., Michael T. Durheim, Victoria Gamerman, et al.. (2016). Rationale for and design of the Idiopathic Pulmonary Fibrosis–PRospective Outcomes (IPF-PRO) registry. BMJ Open Respiratory Research. 3(1). e000108–e000108. 38 indexed citations

Gamerman, Victoria, et al.. (2016). Maximum likelihood based analysis of equally spaced longitudinal count data with first-order antedependence and overdispersion. SpringerPlus. 5(1). 1935–1935. 1 indexed citations

10.

Gamerman, Victoria. (2016). Statistical Methods for Time-Conditional Survival Probability and Equally Spaced Count Data. ScholarlyCommons (University of Pennsylvania). 1 indexed citations

11.

Gamerman, Victoria, et al.. (2016). Maximum Likelihood Based Analysis of Equally Spaced Longitudinal Count Data with Specified Marginal Means, First-order Antedependence, and Linear Conditional Expectations. Collection of Biostatistics Research Archive. 1 indexed citations

12.

Lukens, John N., Alexander Lin, Victoria Gamerman, et al.. (2014). Late Consequential Surgical Bed Soft Tissue Necrosis in Advanced Oropharyngeal Squamous Cell Carcinomas Treated With Transoral Robotic Surgery and Postoperative Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 89(5). 981–988. 31 indexed citations

13.

Mantia-Smaldone, Gina, Lukas Ronner, Victoria Gamerman, et al.. (2014). The immunomodulatory effects of pegylated liposomal doxorubicin are amplified in BRCA1− deficient ovarian tumors and can be exploited to improve treatment response in a mouse model. Gynecologic Oncology. 133(3). 584–590. 12 indexed citations

14.

Belton, Anne, William H. Polonsky, Matthew Capehorn, et al.. (2014). Physicians' Challenges When Discussing the Type 2 Diabetes (T2D) Diagnosis with Patients: Insights from a Cross-National Study (IntroDia™). Canadian Journal of Diabetes. 38(5). S30–S31. 2 indexed citations

15.

Chu, Christina, Jean Boyer, Daniel S. Schullery, et al.. (2011). Phase I/II randomized trial of dendritic cell vaccination with or without cyclophosphamide for consolidation therapy of advanced ovarian cancer in first or second remission. Cancer Immunology Immunotherapy. 61(5). 629–641. 91 indexed citations

16.

Siddiqui, Farzan, Kyounghwa Bae, Corey J. Langer, et al.. (2010). The Influence of Gender, Race, and Marital Status on Survival in Lung Cancer Patients: Analysis of Radiation Therapy Oncology Group Trials. Journal of Thoracic Oncology. 5(5). 631–639. 38 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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