Jan Edler

505 citations
18 papers · 339 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery

Papers in

Jan Edler

14 papers receiving 292 citations

Peers

Jan Edler
Comparison fields: 5 of 47
  • Hardware and Architecture 167
  • Computer Networks and Communications 269
  • Information Systems 34
  • Software 5
  • Neurology 8
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Citations per field
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Citations per year

Countries citing papers authored by Jan Edler

Since Specialization
Citations

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

Fields of papers citing papers by Jan Edler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Edler, 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 Jan Edler Line = papers co-authored together Jan Edler links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1999100
2 199673
3 198542
4 199835
5 199822
6 200820
7 200220
8 19965
9
The ultra III prototype
19935
10
Considerations for massively parallel UNIX systems on the NYU ultracomputer and IBM RP3
20114
11 20184
12
Practical structures for parallel operating systems
19952
13
The NECI LAMP: What, why, and how
19972
14 19961
15
Memory management in Symunix II: a design for large-scale shared memory multiprocessors
20111
16
Operating System Considerations for Large-Scale MIMD Machines
20111
17
Process Management for Highly Parallel Unix Systems
20181
18 20101

About Jan Edler

Jan Edler is a scholar working on Computer Networks and Communications, Hardware and Architecture, Molecular Biology, Surgery and Genetics, having authored 18 papers that have together received 339 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (9 papers), Distributed and Parallel Computing Systems (6 papers), Interconnection Networks and Systems (3 papers), Distributed systems and fault tolerance (2 papers), Enzyme Structure and Function (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Hardware and Architecture (167 citations), Computer Networks and Communications (269 citations), Information Systems (34 citations), Software (5 citations) and Neurology (8 citations). Jan Edler has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include James Philbin, Allan Gottlieb, Andrew V. Goldberg, Sumeet Sobti, P.N. Yianilos, Yuan Chen, Otto J. Anshus, Kai Li, Craig C. Douglas and Angelos Bilas. Their work appears in journals such as ACM SIGPLAN Notices, The Journal of Chemical Physics, Movement Disorders, ACM SIGOPS Operating Systems Review and Klinische Pädiatrie.

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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