Dominik Fay

631 total citations · 1 hit paper
6 papers, 354 citations indexed

About

Dominik Fay is a scholar working on Artificial Intelligence, Molecular Biology and Spectroscopy. According to data from OpenAlex, Dominik Fay has authored 6 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Spectroscopy. Recurrent topics in Dominik Fay's work include Privacy-Preserving Technologies in Data (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Dominik Fay is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Dominik Fay collaborates with scholars based in Sweden, United States and Germany. Dominik Fay's co-authors include Andrew Palmer, Prasad Phapale, Theodore Alexandrov, Artem Tarasov, Régis Lavigne, Jens Fuchser, Vitaly Kovalev, Sergey Nikolenko, Michael Becker and Charles Pineau and has published in prestigious journals such as Bioinformatics, Nature Methods and IEEE Transactions on Signal Processing.

In The Last Decade

Dominik Fay

6 papers receiving 349 citations

Hit Papers

FDR-controlled metabolite annotation for high-resolution ... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry
    2016 334 citations Andrew Palmer, Prasad Phapale et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominik Fay Sweden 4 259 212 34 25 23 6 354
Vitaly Kovalev Germany 4 301 1.2× 243 1.1× 37 1.1× 30 1.2× 25 1.1× 4 387
Rainer Paape Germany 8 338 1.3× 340 1.6× 19 0.6× 19 0.8× 49 2.1× 11 502
Andreas Dannhorn United Kingdom 11 262 1.0× 236 1.1× 15 0.4× 38 1.5× 30 1.3× 20 427
Thorsten Schramm Germany 6 309 1.2× 366 1.7× 27 0.8× 32 1.3× 23 1.0× 7 465
Daniela Mesa Sanchez United States 6 187 0.7× 195 0.9× 14 0.4× 13 0.5× 27 1.2× 7 295
María Emilia Dueñas United States 12 355 1.4× 340 1.6× 23 0.7× 28 1.1× 42 1.8× 27 565
Katerina Djambazova United States 11 382 1.5× 395 1.9× 29 0.9× 49 2.0× 29 1.3× 16 545
Rachelle R. Landgraf United States 6 306 1.2× 273 1.3× 13 0.4× 12 0.5× 15 0.7× 6 470
Selina Rahman Shanta South Korea 9 316 1.2× 279 1.3× 10 0.3× 15 0.6× 25 1.1× 11 467
Rosemary M. Onjiko United States 8 360 1.4× 363 1.7× 26 0.8× 41 1.6× 123 5.3× 10 498

Countries citing papers authored by Dominik Fay

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Fay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Fay

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

All Works

6 of 6 papers shown
1.
Zhang, Jiaojiao, et al.. (2025). Locally Differentially Private Online Federated Learning With Correlated Noise. IEEE Transactions on Signal Processing. 73. 1518–1531. 1 indexed citations
2.
Zhang, Jiaojiao, Dominik Fay, & Mikael Johansson. (2024). Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. 9461–9465. 4 indexed citations
3.
Foote, Matthew, et al.. (2023). Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation. Biomedical Physics & Engineering Express. 10(2). 25004–25004. 4 indexed citations
4.
Fay, Dominik, et al.. (2019). Privacy of Real-Time Pricing in Smart Grid. 9. 5162–5167. 1 indexed citations
5.
Palmer, Andrew, Prasad Phapale, Dominik Fay, & Theodore Alexandrov. (2017). Curatr: a web application for creating, curating and sharing a mass spectral library. Bioinformatics. 34(8). 1436–1438. 10 indexed citations
6.
Palmer, Andrew, Prasad Phapale, Régis Lavigne, et al.. (2016). FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry. Nature Methods. 14(1). 57–60. 334 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Vitaly Kovalev Breakdown of academic impact, for papers by Rainer Paape Breakdown of academic impact, for papers by Andreas Dannhorn Breakdown of academic impact, for papers by Thorsten Schramm Breakdown of academic impact, for papers by Daniela Mesa Sanchez Breakdown of academic impact, for papers by María Emilia Dueñas Breakdown of academic impact, for papers by Katerina Djambazova Breakdown of academic impact, for papers by Rachelle R. Landgraf Breakdown of academic impact, for papers by Selina Rahman Shanta Breakdown of academic impact, for papers by Rosemary M. Onjiko
Rankless by CCL
2026