Johannes Klepsch

636 citations
14 papers · 188 indexed · h-index 7

Johannes Klepsch

11 papers receiving 180 citations

Peers

Johannes Klepsch
Comparison fields: 5 of 54
  • Computational Mathematics 3
  • Artificial Intelligence 111
  • Statistics and Probability 15
  • Transportation 12
  • Finance 17
Replace Frederick Kin Hing Phoa with:
Frederick Kin Hing Phoa Taiwan
Christopher Liaw Canada
Haihao Lu United States
Paweł Góra Poland
Dan Rosén Sweden
Konstantin Vorontsov Russia
Vsevolod Shneer United Kingdom
Juan Xu China
Jaemin Yoo South Korea
Johannes Klepsch relative to Frederick Kin Hing Phoa Taiwan Frederick Kin Hing Phoa's profile →
Citations per field
00.5×4.9×
Frederick Kin Hing Phoa · 1×
Citations per year

Countries citing papers authored by Johannes Klepsch

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Klepsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Johannes Klepsch, 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 Johannes Klepsch Line = papers co-authored together Johannes Klepsch links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20253
2 20246
3 202349
4 202310
5 20230
6 202216
7 202216
8 20220
9 20225
10 20212
11 202128
12 20201
13 20180
14 201652

About Johannes Klepsch

Johannes Klepsch is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Science Applications, Hardware and Architecture and Information Systems, having authored 14 papers that have together received 188 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Cloud Computing and Resource Management (2 papers), Quantum Information and Cryptography (2 papers), Quantum and electron transport phenomena (2 papers), Control Systems and Identification (2 papers), Quantum many-body systems (2 papers), Blockchain Technology Applications and Security (2 papers) and Statistical and numerical algorithms (1 paper). The work is most often cited by research in Computational Mathematics (3 citations), Artificial Intelligence (111 citations), Statistics and Probability (15 citations), Transportation (12 citations) and Finance (17 citations). Johannes Klepsch has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Claudia Klüppelberg, André Luckow, Florian Dommert, Wolfgang Mauerer, Thomas Strohm, Ming Yin, Karen Wintersperger, Sebastian Luber, Maurício G. C. Resende and Carlos A. Riofrío. Their work appears in journals such as EPJ Quantum Technology, Scientific Reports, Physical Review Research, Technometrics and Econometrics and Statistics.

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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