Jonas Helsen

676 citations
25 papers · 409 · h-index 11

Impact in

Papers in

Jonas Helsen

22 papers receiving 403 citations

Peers

Jonas Helsen
Comparison fields: 5 of 38
  • Atomic and Molecular Physics, and Optics 262
  • Artificial Intelligence 285
  • Computational Theory and Mathematics 31
  • Electrical and Electronic Engineering 101
  • Discrete Mathematics and Combinatorics 4
Replace Felix Leditzky with:
Felix Leditzky United States
Charles H. Baldwin United States
Karl Mayer United States
Manuel Rispler Germany
David Francois United States
Hui-Juan Zuo China
Masoud Mohseni United States
Andrew Arrasmith United States
Jeremy L. O’Brien United Kingdom
Natalie C. Brown United States
Jonas Helsen relative to Felix Leditzky United States Felix Leditzky's profile →
Citations per field
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Felix Leditzky · 1×
Citations per year

Countries citing papers authored by Jonas Helsen

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Helsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonas Helsen, 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 Jonas Helsen Line = papers co-authored together Jonas Helsen 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 201987
2 202280
3 202359
4 202230
5 202324
6 202022
7 202320
8 202318
9 201814
10 202312
11 201912
12 20227
13 20206
14 20225
15 20203
16 20192
17 20252
18 20232
19 20241
20 20251

About Jonas Helsen

Jonas Helsen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 25 papers that have together received 409 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (8 papers), Quantum Mechanics and Applications (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Advanced Graph Theory Research (3 papers), Markov Chains and Monte Carlo Methods (3 papers), Quantum and electron transport phenomena (3 papers) and Quantum many-body systems (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (262 citations), Artificial Intelligence (285 citations), Computational Theory and Mathematics (31 citations), Electrical and Electronic Engineering (101 citations) and Discrete Mathematics and Combinatorics (4 citations). Jonas Helsen has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Stephanie Wehner, Ingo Roth, Albert H. Werner, Jens Eisert, Xiao Xue, D. E. Savage, Daniel R. Ward, Thomas F. Watson, Susan Coppersmith and Mark Eriksson. Their work appears in journals such as Quantum, Physical Review A, PRX Quantum, Nature Communications and Quantum Science and Technology.

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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