A. Nystrom

12 papers receiving 418 citations

A. Nystrom's Hit Papers

Deduplicating Training Data Makes Language Models Better 2022 · 188 citations
1880+1+2Years since publication50100150

Peers

A. Nystrom
Comparison fields: 5 of 78
  • Nuclear and High Energy Physics 197
  • Radiation 81
  • Health Informatics 13
  • Artificial Intelligence 126
  • Atomic and Molecular Physics, and Optics 80
Replace Fabian Müller with:
Fabian Müller Germany
F. Leimgruber Switzerland
Dmytro Levit Germany
Samarth Sharma Switzerland
V. De Leo Italy
Hiroshi Masui Japan
Kai Lukas Unger Japan
Nils Braun Germany
Joana Niermann Switzerland
О.О. Патаракин Russia
A. Nystrom relative to Fabian Müller Germany Fabian Müller's profile →
Citations per field
00.5×2×2.9×
Fabian Müller · 1×
Citations per year

Countries citing papers authored by A. Nystrom

Since Specialization
Citations

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

Fields of papers citing papers by A. Nystrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Nystrom, 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 A. Nystrom Line = papers co-authored together A. Nystrom links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Deduplicating Training Data Makes Language Models Better
Hit paper breakdown →
2022188
2 201665
3 201861
4 201438
5 201922
6 201721
7 201212
8 20167
9 20207
10 20187
11 20206
12 20171
13 20230

About A. Nystrom

A. Nystrom is a scholar working on Nuclear and High Energy Physics, Radiation, Atomic and Molecular Physics, and Optics, Health Information Management and Condensed Matter Physics, having authored 13 papers that have together received 435 indexed citations. Recurring topics across this work include Nuclear physics research studies (10 papers), Astronomical and nuclear sciences (5 papers), Nuclear Physics and Applications (4 papers), Atomic and Molecular Physics (4 papers), Particle Detector Development and Performance (1 paper), Text and Document Classification Technologies (1 paper), Muon and positron interactions and applications (1 paper) and Chemical Thermodynamics and Molecular Structure (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (197 citations), Radiation (81 citations), Health Informatics (13 citations), Artificial Intelligence (126 citations) and Atomic and Molecular Physics, and Optics (80 citations). A. Nystrom has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Katherine Lee, Chiyuan Zhang, Chris Callison-Burch, Daphne Ippolito, Douglas Eck, Nicholas Carlini, Ani Aprahamian, Mary Burkey, Rodney Orford and Guy Savard. Their work appears in journals such as Physical Review C, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Physical Review Letters, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Atomic Data and Nuclear Data Tables.

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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