Philipp Niemann

835 total citations
30 papers, 415 citations indexed

About

Philipp Niemann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Philipp Niemann has authored 30 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 9 papers in Software. Recurrent topics in Philipp Niemann's work include Quantum Computing Algorithms and Architecture (15 papers), Quantum-Dot Cellular Automata (13 papers) and Quantum Information and Cryptography (11 papers). Philipp Niemann is often cited by papers focused on Quantum Computing Algorithms and Architecture (15 papers), Quantum-Dot Cellular Automata (13 papers) and Quantum Information and Cryptography (11 papers). Philipp Niemann collaborates with scholars based in Germany, Austria and India. Philipp Niemann's co-authors include Robert Wille, Rolf Drechsler, Frank Sill Torres, Mitchell A. Thornton, D. Michael Miller, Martin Gogolla, Alwin Zulehner, Anshu Gupta, Marcel Walter and Oliver Keszöcze and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Quantum Information Processing and Microprocessors and Microsystems.

In The Last Decade

Philipp Niemann

29 papers receiving 409 citations

Peers

Philipp Niemann
Comparison fields: 5 of 24
  • Computational Theory and Mathematics 267
  • Electrical and Electronic Engineering 239
  • Artificial Intelligence 229
  • Atomic and Molecular Physics, and Optics 87
  • Hardware and Architecture 44
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Citations per field, relative to Philipp Niemann
Philipp Niemann · 1×
Citations per year, relative to Philipp Niemann
Philipp Niemann · 1×

Countries citing papers authored by Philipp Niemann

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Niemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Niemann

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 14
5 5
6 5
7 11
8 148
9 8
10 1
11 10
12 1
13 1
14
Towards a Catalog of Structural and Behavioral Verification Tasks for UML/OCL Models.
3
15 17
16 8
17 71
18 10
19 6
20 27

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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