Benjamin Ackerman

1.2k citations
25 papers · 415 · h-index 11

Impact in

Papers in

Benjamin Ackerman

20 papers receiving 410 citations

Peers

Benjamin Ackerman
Comparison fields: 5 of 75
  • Statistics and Probability 79
  • Infectious Diseases 128
  • Molecular Medicine 17
  • Social Psychology 57
  • Health 13
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Benjamin Ackerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Ackerman Line = papers co-authored together Benjamin Ackerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017119
2 202175
3 201744
4 201826
5 202024
6 201821
7 201820
8 201620
9 201518
10 202111
11 201910
12 20208
13 20215
14
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
20204
15 20253
16 20242
17 20192
18 20201
19 20201
20
Regolith geochemical exploration in the Girilambone District of New South Wales
20051

About Benjamin Ackerman

Benjamin Ackerman is a scholar working on Statistics and Probability, Artificial Intelligence, Immunology, Infectious Diseases and Oncology, having authored 25 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (10 papers), Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers), Immunotherapy and Immune Responses (3 papers), HIV/AIDS Research and Interventions (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Statistics and Probability (79 citations), Infectious Diseases (128 citations), Molecular Medicine (17 citations), Social Psychology (57 citations) and Health (13 citations). Benjamin Ackerman has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Elizabeth A. Stuart, Daniel Westreich, Stefan Baral, Ian Schmid, Séni Kouanda, Simplice Anato, L Leigh Ann van der Merwe, Daouda Diouf, Abo Kouamé and Odette Ky‐Zerbo. Their work appears in journals such as Statistical Science, Addictive Behaviors, JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS Medicine and Biostatistics.

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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