Peter D. Nissen

642 citations
7 papers · 388 indexed · h-index 7

Peter D. Nissen

7 papers receiving 385 citations

Peers

Peter D. Nissen
Comparison fields: 5 of 20
  • Atomic and Molecular Physics, and Optics 369
  • Artificial Intelligence 217
  • Electrical and Electronic Engineering 148
  • Condensed Matter Physics 16
  • Computational Theory and Mathematics 12
Replace Jeffrey A. Grover with:
Jeffrey A. Grover United States
Haohua Wang China
Stasja Stanisic United Kingdom
Matthias Mergenthaler Switzerland
A. P. Burgers United States
Shavindra Premaratne United States
Benjamin J. Chapman United States
Andreas Landig Switzerland
Udson C. Mendes Canada
Ludwik Kranz Australia
Peter D. Nissen relative to Jeffrey A. Grover United States Jeffrey A. Grover's profile →
Citations per field
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Jeffrey A. Grover · 1×
Citations per year

Countries citing papers authored by Peter D. Nissen

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Nissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter D. Nissen. 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 Peter D. Nissen. The network helps show where Peter D. Nissen may publish in the future.

Co-authorship network

The 18 scholars most cited alongside Peter D. Nissen, 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 Peter D. Nissen Line = papers co-authored together Peter D. Nissen links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201934
2 201761
3 201728
4 201729
5 2016167
6 201663
7 20126

About Peter D. Nissen

Peter D. Nissen is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Spectroscopy, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (6 papers), Quantum Information and Cryptography (3 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Semiconductor Quantum Structures and Devices (2 papers), Semiconductor materials and devices (2 papers), Magnetic properties of thin films (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (369 citations), Artificial Intelligence (217 citations) and Electrical and Electronic Engineering (148 citations). Peter D. Nissen has collaborated with scholars based in Denmark, United States and Poland. Frequent co-authors include Saeed Fallahi, C. M. Marcus, Ferdinand Kuemmeth, Frederico Martins, Filip K. Malinowski, Michael J. Manfra, Geoffrey C. Gardner, Edwin Barnes, Łukasz Cywiński and Mark S. Rudner. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics, Physical review. B., Nature Nanotechnology and Nature Communications.

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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