Jack Sklar

793 total citations · 1 hit paper
4 papers, 474 citations indexed

About

Jack Sklar is a scholar working on Infectious Diseases, Molecular Biology and Signal Processing. According to data from OpenAlex, Jack Sklar has authored 4 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Signal Processing. Recurrent topics in Jack Sklar's work include Gut microbiota and health (2 papers), Music Technology and Sound Studies (1 paper) and Image and Signal Denoising Methods (1 paper). Jack Sklar is often cited by papers focused on Gut microbiota and health (2 papers), Music Technology and Sound Studies (1 paper) and Image and Signal Denoising Methods (1 paper). Jack Sklar collaborates with scholars based in United States, Netherlands and Thailand. Jack Sklar's co-authors include Ivan Vujkovic-Cvijin, Yasmine Belkaid, Lingjing Jiang, Loki Natarajan, Rob Knight, Eveline Verheij, Neeltje A. Kootstra, Jintanat Ananworanich, Maarten Schim van der Loeff and Irini Sereti and has published in prestigious journals such as Nature, Nature Communications and Journal of Research of the National Institute of Standards and Technology.

In The Last Decade

Jack Sklar

4 papers receiving 471 citations

Hit Papers

Host variables confound gut microbiota studies of human d... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Sklar United States 3 360 123 105 54 44 4 474
Dag Henrik Reikvam Norway 10 436 1.2× 211 1.7× 123 1.2× 87 1.6× 22 0.5× 18 732
Luz Alicia González-Hernández Mexico 10 150 0.4× 158 1.3× 40 0.4× 97 1.8× 82 1.9× 35 386
Brandon Fombuena Canada 11 173 0.5× 167 1.4× 57 0.5× 86 1.6× 102 2.3× 19 430
Tiffany Hensley‐McBain United States 11 165 0.5× 159 1.3× 33 0.3× 95 1.8× 49 1.1× 23 482
Noemi Giustini Italy 10 186 0.5× 163 1.3× 37 0.4× 72 1.3× 163 3.7× 15 449
Ivan Schietroma Italy 12 157 0.4× 96 0.8× 31 0.3× 73 1.4× 77 1.8× 12 347
Emma Recio‐Fernández Spain 10 168 0.5× 124 1.0× 43 0.4× 58 1.1× 68 1.5× 16 272
Sara Serafino Italy 8 178 0.5× 132 1.1× 26 0.2× 59 1.1× 117 2.7× 12 372
Jennifer A. Manuzak United States 11 194 0.5× 204 1.7× 17 0.2× 89 1.6× 61 1.4× 24 506
Anthony Albanese United States 8 97 0.3× 113 0.9× 24 0.2× 101 1.9× 83 1.9× 13 345

Countries citing papers authored by Jack Sklar

Since Specialization
Citations

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

Fields of papers citing papers by Jack Sklar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Sklar

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

All Works

4 of 4 papers shown
1.
Wunderlich, Adam & Jack Sklar. (2023). Data-driven modeling of noise time series with convolutional generative adversarial networks . Machine Learning Science and Technology. 4(3). 35023–35023. 3 indexed citations
2.
Sklar, Jack & Adam Wunderlich. (2021). Feasibility of Modeling Orthogonal Frequency-Division Multiplexing Communication Signals with Unsupervised Generative Adversarial Networks. Journal of Research of the National Institute of Standards and Technology. 126. 126046–126046. 2 indexed citations
3.
Vujkovic-Cvijin, Ivan, Ornella Sortino, Eveline Verheij, et al.. (2020). HIV-associated gut dysbiosis is independent of sexual practice and correlates with noncommunicable diseases. Nature Communications. 11(1). 2448–2448. 119 indexed citations
4.
Vujkovic-Cvijin, Ivan, Jack Sklar, Lingjing Jiang, et al.. (2020). Host variables confound gut microbiota studies of human disease. Nature. 587(7834). 448–454. 350 indexed citations breakdown →

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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