Lars Wehmeyer

1.3k citations
20 papers · 921 · h-index 14

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Real-Time Systems Scheduling
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Distributed and Parallel Computing Systems

Papers in

Lars Wehmeyer

18 papers receiving 866 citations

Peers

Lars Wehmeyer
Comparison fields: 5 of 20
  • Hardware and Architecture 880
  • Computer Networks and Communications 503
  • Electrical and Electronic Engineering 265
  • Information Systems 49
  • Computational Theory and Mathematics 18
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Citations per year

Countries citing papers authored by Lars Wehmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Lars Wehmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Lars Wehmeyer, 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 Lars Wehmeyer Line = papers co-authored together Lars Wehmeyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002237
2 2003127
3 2004106
4 200288
5 200476
6
An Accurate and Fine Grain Instruction-Level Energy Model Supporting Software Optimizations
200145
7 200439
8 200539
9 200536
10 200429
11 200123
12 200416
13 200216
14 200613
15 200111
16 19989
17 20048
18 20023
19 20020
20
Functional specification of distributed digital image processing systems by process interface descriptions
19990

About Lars Wehmeyer

Lars Wehmeyer is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, General Health Professions and Information Systems, having authored 20 papers that have together received 921 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Embedded Systems Design Techniques (16 papers), Real-Time Systems Scheduling (7 papers), Green IT and Sustainability (3 papers), Interconnection Networks and Systems (3 papers), VLSI and FPGA Design Techniques (2 papers), Advanced Data Storage Technologies (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Hardware and Architecture (880 citations), Computer Networks and Communications (503 citations), Electrical and Electronic Engineering (265 citations), Information Systems (49 citations) and Computational Theory and Mathematics (18 citations). Lars Wehmeyer has collaborated with scholars based in Germany and India. Frequent co-authors include Peter Marwedel, Stefan Steinke, Manish Verma, S. Balakrishnan, R. M. Banakar, Markus Knauer, Heiko Falk, Manoj Jain, Sorin A. Huss and Stephan Klaus. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM SIGPLAN Notices, Asia and South Pacific Design Automation Conference, Parallel and Distributed Processing Techniques and Applications and Design, Automation, and Test in Europe.

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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