Jan Edler
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Information Systems
- Molecular Biology
- Co-authors
- James PhilbinAllan GottliebCraig C. DouglasYuan ChenP.N. YianilosSumeet SobtiOtto J. AnshusAndrew V. Goldberg
- Topics
- Parallel Computing and Optimization Techniques (10 papers)Advanced Data Storage Technologies (9 papers)Distributed and Parallel Computing Systems (6 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Jan Edler
11 papers receiving 238 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 238
- Hardware and Architecture 149
- Artificial Intelligence 32
- Information Systems 31
- Molecular Biology 19
Countries citing papers authored by Jan Edler
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
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-authorship network of co-authors of Jan Edler
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Edler. A scholar is included among the top collaborators of Jan Edler 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 Jan Edler. Jan Edler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Process Management for Highly Parallel Unix Systems | 1 |
| 2 | Memory management in Symunix II: a design for large-scale shared memory multiprocessors | 1 |
| 3 | Operating System Considerations for Large-Scale MIMD Machines | 1 |
| 4 | Considerations for massively parallel UNIX systems on the NYU ultracomputer and IBM RP3 | 3 |
| 5 | 19 | |
| 6 | 86 | |
| 7 | 33 | |
| 8 | 20 | |
| 9 | The NECI LAMP: What, why, and how | 1 |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 66 | |
| 13 | Practical structures for parallel operating systems | 1 |
| 14 | The ultra III prototype | 4 |
| 15 | 37 |
About Jan Edler
Jan Edler is a scholar working on Hardware and Architecture, Computer Networks and Communications and Conservation, having authored 15 papers that have together received 279 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (9 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Hardware and Architecture (149 citations), Computer Networks and Communications (238 citations) and Information Systems (31 citations). Jan Edler has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include James Philbin, Allan Gottlieb, Craig C. Douglas, Yuan Chen, P.N. Yianilos, Sumeet Sobti, Otto J. Anshus, Andrew V. Goldberg, Kai Li and Cezary Dubnicki. Their work appears in journals such as The Journal of Chemical Physics, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.
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.