Benjamin Ackerman

1.2k total citations
22 papers, 389 citations indexed

About

Benjamin Ackerman is a scholar working on Statistics and Probability, Infectious Diseases and Artificial Intelligence. According to data from OpenAlex, Benjamin Ackerman has authored 22 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 4 papers in Infectious Diseases and 4 papers in Artificial Intelligence. Recurrent topics in Benjamin Ackerman's work include Advanced Causal Inference Techniques (11 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Benjamin Ackerman is often cited by papers focused on Advanced Causal Inference Techniques (11 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Benjamin Ackerman collaborates with scholars based in United States, Japan and Ivory Coast. Benjamin Ackerman's co-authors include Elizabeth A. Stuart, Daniel Westreich, Stefan Baral, Ian Schmid, Tonia Poteat, Simplice Anato, Zandile Mnisi, Daouda Diouf, Tampose Mothopeng and L Leigh Ann van der Merwe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Benjamin Ackerman

19 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Ackerman United States	11	166	101	88	84	72	22	389
Ross Boylan United States	12	128 0.8×	148 1.5×	52 0.6×	104 1.2×	160 2.2×	21	449
María Elena Guardado United States	9	215 1.3×	196 1.9×	17 0.2×	154 1.8×	66 0.9×	14	313
Olga Levina United States	15	310 1.9×	420 4.2×	19 0.2×	148 1.8×	29 0.4×	29	534
Kristi Rüütel Estonia	15	404 2.4×	450 4.5×	15 0.2×	135 1.6×	36 0.5×	51	599
Megha Mehrotra United States	14	458 2.8×	285 2.8×	8 0.1×	106 1.3×	63 0.9×	35	558
Khuat Thi Hai Oanh United States	13	168 1.0×	209 2.1×	9 0.1×	119 1.4×	21 0.3×	27	380
Joseph Katongole United Kingdom	5	226 1.4×	220 2.2×	7 0.1×	117 1.4×	23 0.3×	7	336
Marie Jauffret‐Roustide France	17	173 1.0×	537 5.3×	8 0.1×	115 1.4×	39 0.5×	84	754
Rogério Costa Gondim Brazil	6	191 1.2×	179 1.8×	10 0.1×	148 1.8×	46 0.6×	6	299
Francesca Lemme United Kingdom	8	20 0.1×	102 1.0×	26 0.3×	35 0.4×	152 2.1×	12	347

Countries citing papers authored by Benjamin Ackerman

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Ackerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Ackerman

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

Metcalfe, Rebecca, et al.. (2025). Systematic review of applied transportability and generalizability analyses: A landscape analysis. Annals of Epidemiology. 104. 61–70. 2 indexed citations

Ackerman, Benjamin, Ryan W. Gan, Youyi Zhang, et al.. (2025). Regression calibration for time-to-event outcomes: mitigating bias due to measurement error in real-world endpoints. PubMed. 14(1). 20250009–20250009.

Gerke, Travis, Benjamin Ackerman, Shrujal S. Baxi, et al.. (2024). Representativeness of Real World Data: A Framework for Assessing Oncology EHR-derived Data. SSRN Electronic Journal.

Ackerman, Benjamin, Ryan W. Gan, Craig S. Meyer, et al.. (2024). Measurement error and bias in real-world oncology endpoints when constructing external control arms. SHILAP Revista de lepidopterología. 4. 1423493–1423493. 1 indexed citations

Rao, Amrita, Katherine B. Rucinski, Brooke A. Jarrett, et al.. (2021). Perceived Interruptions to HIV Prevention and Treatment Services Associated With COVID-19 for Gay, Bisexual, and Other Men Who Have Sex With Men in 20 Countries. JAIDS Journal of Acquired Immune Deficiency Syndromes. 87(1). 644–651. 73 indexed citations

Ackerman, Benjamin, Juned Siddique, & Elizabeth A. Stuart. (2021). Calibrating validation samples when accounting for measurement error in intervention studies. Statistical Methods in Medical Research. 30(5). 1235–1248. 5 indexed citations

Seamans, Marissa J., Hwanhee Hong, Benjamin Ackerman, Ian Schmid, & Elizabeth A. Stuart. (2021). Generalizability of Subgroup Effects. Epidemiology. 32(3). 389–392. 10 indexed citations

Rao, Aditi, Katherine B. Rucinski, Benjamin Ackerman, et al.. (2020). Global interruptions in HIV prevention and treatment services as a result of the response to COVID-19: Results from a social media-based sample of men who have sex with men. Journal of the International AIDS Society. 23. 181–181. 4 indexed citations

Lesko, Catherine R., Benjamin Ackerman, Michael Webster‐Clark, & Jessie K. Edwards. (2020). Target Validity: Bringing Treatment of External Validity in Line with Internal Validity. Current Epidemiology Reports. 7(3). 117–124. 23 indexed citations

10.

Schmid, Ian, Kara E. Rudolph, Trang Quynh Nguyen, et al.. (2020). Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populations. Communications in Statistics - Simulation and Computation. 51(8). 4326–4348. 7 indexed citations

11.

Stuart, Elizabeth A. & Benjamin Ackerman. (2020). Commentary on Yu et al.: Opportunities and Challenges for Matching Methods in Large Databases. Statistical Science. 35(3). 1 indexed citations

12.

Ackerman, Shelley E., Felix J. Hartmann, Cecelia I. Pearson, et al.. (2020). 603 Covalent attachment of a TLR7/8 agonist to tumor-targeting antibodies drives potent anti-tumor efficacy by synergistically activating FcgR- and TLR- signaling and enables safe systemic administration. SHILAP Revista de lepidopterología. A360.1–A360. 1 indexed citations

13.

Ackerman, Shelley E., Joseph C. González, Josh Gregorio, et al.. (2019). Abstract 1559: TLR7/8 immune-stimulating antibody conjugates elicit robust myeloid activation leading to enhanced effector function and anti-tumor immunity in pre-clinical models. Immunology. 1559–1559. 2 indexed citations

14.

Nguyen, Trang Quynh, Benjamin Ackerman, Ian Schmid, Stephen R. Cole, & Elizabeth A. Stuart. (2018). Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details. PLoS ONE. 13(12). e0208795–e0208795. 17 indexed citations

15.

Ackerman, Benjamin, et al.. (2018). Measuring model misspecification: Application to propensity score methods with complex survey data. Computational Statistics & Data Analysis. 128. 48–57. 17 indexed citations

16.

Ackerman, Benjamin, Ian Schmid, Kara E. Rudolph, et al.. (2018). Implementing statistical methods for generalizing randomized trial findings to a target population. Addictive Behaviors. 94. 124–132. 23 indexed citations

17.

Poteat, Tonia, Benjamin Ackerman, Daouda Diouf, et al.. (2017). HIV prevalence and behavioral and psychosocial factors among transgender women and cisgender men who have sex with men in 8 African countries: A cross-sectional analysis. PLoS Medicine. 14(11). e1002422–e1002422. 114 indexed citations

18.

Stuart, Elizabeth A., Benjamin Ackerman, & Daniel Westreich. (2017). Generalizability of Randomized Trial Results to Target Populations. Research on Social Work Practice. 28(5). 532–537. 42 indexed citations

19.

Yu, Tao, Hui Gao, Benjamin Ackerman, et al.. (2016). Evidence for contribution of common genetic variants within chromosome 8p21.2-8p21.1 to restricted and repetitive behaviors in autism spectrum disorders. BMC Genomics. 17(1). 163–163. 19 indexed citations

20.

Lazarovitch, Tsilia, Joseph Coyle, Benjamin Ackerman, et al.. (2015). The Complex Epidemiology of Carbapenem-ResistantEnterobacterInfections: A Multicenter Descriptive Analysis. Infection Control and Hospital Epidemiology. 36(11). 1283–1291. 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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