Mark Richter

483 citations
18 papers · 325 · h-index 6

Impact in

Papers in

Mark Richter

17 papers receiving 316 citations

Peers

Mark Richter
Comparison fields: 5 of 56
  • Hardware and Architecture 38
  • Signal Processing 53
  • Artificial Intelligence 127
  • Cardiology and Cardiovascular Medicine 76
  • Computational Mathematics 2
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Countries citing papers authored by Mark Richter

Since Specialization
Citations

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

Fields of papers citing papers by Mark Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mark Richter, 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 Mark Richter Line = papers co-authored together Mark Richter links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2006132
2 1998100
3 201436
4 201611
5 201710
6
Energy efficient storage systems in the DC link for the drive unit of machine tools
20117
7 20125
8 20125
9 20194
10
Massively Parallel Quantum Computer Simulations: Towards Realistic Systems
20073
11 20153
12 20162
13
FUEL SAVING POSSIBILITIES BY OPTIMIZING THE TRAFFIC SIGNAL SYSTEM. ENERGY EFFICIENCY IN LAND TRANSPORT. PROCEEDINGS OF A SEMINAR ORGANISED BY THE COMMISSION OF THE EUROPEAN COMMUNITIES, DIRECTORATE GENERAL FOR ENERGY, LUXEMBOURG, MAY 16-18, 1988
19892
14
Improving Quantum Computer Simulations
20061
15
Design Mapping: Supporting collaborative Advanced Design Projects with Mapping Techniques
20081
16 20111
17 20141
18 20141

About Mark Richter

Mark Richter is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Industrial and Manufacturing Engineering, Automotive Engineering and Computational Theory and Mathematics, having authored 18 papers that have together received 325 indexed citations. Recurring topics across this work include Energy Efficiency and Management (6 papers), Quantum Computing Algorithms and Architecture (3 papers), Vehicle emissions and performance (2 papers), Engineering Technology and Methodologies (2 papers), Advanced Machining and Optimization Techniques (2 papers), Quantum Information and Cryptography (2 papers), Building Energy and Comfort Optimization (2 papers) and Quantum-Dot Cellular Automata (2 papers). The work is most often cited by research in Hardware and Architecture (38 citations), Signal Processing (53 citations), Artificial Intelligence (127 citations), Cardiology and Cardiovascular Medicine (76 citations) and Computational Mathematics (2 citations). Mark Richter has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Daniel T. Kaplan, Thomas Schreiber, G. W. Arnold, K. De Raedt, Thomas Lippert, Hans De Raedt, Hiroshi Watanabe, Nobutaka Ito, Kristel Michielsen and Scott Wunsch. Their work appears in journals such as Computer Physics Communications, IEEE Transactions on Biomedical Engineering, Dynamics of Atmospheres and Oceans, Procedia Manufacturing and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

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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