Martin Jankowiak
- Nuclear and High Energy Physics top 5%
- Infectious Diseases top 10%
- Astronomy and Astrophysics top 10%
- Molecular Biology
- Genetics
- Co-authors
- Michael SpannowskyJoerg JaeckelAndrew J. LarkoskiJacob E. LemieuxPhilip HarrisMatthew J. DolanJesse D. PyleDaniel J. Park
- Topics
- Particle physics theoretical and experimental studies (5 papers)High-Energy Particle Collisions Research (4 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Journals
- ScienceNature GeneticsPLoS Genetics
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Martin Jankowiak
15 papers receiving 462 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Nuclear and High Energy Physics 262
- Infectious Diseases 143
- Astronomy and Astrophysics 79
- Molecular Biology 75
- Genetics 40
Countries citing papers authored by Martin Jankowiak
This map shows the geographic impact of Martin Jankowiak'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 Martin Jankowiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Jankowiak more than expected).
Fields of papers citing papers by Martin Jankowiak
This network shows the impact of papers produced by Martin Jankowiak. 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 Martin Jankowiak. The network helps show where Martin Jankowiak may publish in the future.
Co-authorship network of co-authors of Martin Jankowiak
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Jankowiak. A scholar is included among the top collaborators of Martin Jankowiak 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 Martin Jankowiak. Martin Jankowiak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 2 | |
| 3 | Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitnessbreakdown → | 162 |
| 4 | 5 | |
| 5 | A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. | 1 |
| 6 | Variational Estimators for Bayesian Optimal Experimental Design. | 0 |
| 7 | Variational Bayesian Optimal Experimental Design | 3 |
| 8 | 2 | |
| 9 | Pathwise Derivatives Beyond the Reparameterization Trick | 7 |
| 10 | Event Extraction Using Distant Supervision | 18 |
| 11 | 52 | |
| 12 | 7 | |
| 13 | 119 | |
| 14 | 7 | |
| 15 | 26 | |
| 16 | 54 |
About Martin Jankowiak
Martin Jankowiak is a scholar working on Computational Mathematics, Nuclear and High Energy Physics and Management Science and Operations Research, having authored 16 papers that have together received 477 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (262 citations), Infectious Diseases (143 citations) and Modeling and Simulation (26 citations). Martin Jankowiak has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael Spannowsky, Joerg Jaeckel, Andrew J. Larkoski, Jacob E. Lemieux, Philip Harris, Matthew J. Dolan, Jesse D. Pyle, Daniel J. Park, Bronwyn MacInnis and Nikolaos Barkas. Their work appears in journals such as Science, Nature Genetics and PLoS Genetics.
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.