Ellen H. Siegel

963 citations
6 papers · 629 indexed · 1 hit paper · h-index 5
Topics
Distributed systems and fault tolerance (4 papers)Distributed and Parallel Computing Systems (2 papers)Parallel Computing and Optimization Techniques (2 papers)
Journals
IEEE Transactions on ComputersEnzyme and Microbial TechnologyHAL (Le Centre pour la Communication Scientifique Directe)
Partner nations
United StatesPortugal

In The Last Decade

Ellen H. Siegel

5 papers receiving 542 citations

Hit Papers

Coda: a highly available file system for a distributed wo...19902026200220141990100200300400500

Peers

Ellen H. Siegel
Comparison fields: 5 of 39
  • Computer Networks and Communications 593
  • Information Systems 112
  • Hardware and Architecture 93
  • Artificial Intelligence 44
  • Computer Vision and Pattern Recognition 39
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Yariv Aridor Israel
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Ellen H. Siegel relative to Puneet Kumar United States Puneet Kumar's profile →
Citations per field
00.5×1.5×
Puneet Kumar · 1×
Citations per year

Countries citing papers authored by Ellen H. Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Ellen H. Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen H. Siegel. 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 Ellen H. Siegel. The network helps show where Ellen H. Siegel may publish in the future.

Co-authorship network of co-authors of Ellen H. Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen H. Siegel. A scholar is included among the top collaborators of Ellen H. Siegel 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 Ellen H. Siegel. Ellen H. Siegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 5
3
Tailored Protocol Development Using ESTEREL
6
4
Coda: a highly available file system for a distributed workstation environmentbreakdown →
576
5 33
6 9

About Ellen H. Siegel

Ellen H. Siegel is a scholar working on Hardware and Architecture, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 6 papers that have together received 629 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (4 papers), Distributed and Parallel Computing Systems (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (593 citations), Hardware and Architecture (93 citations) and Information Systems (112 citations). Ellen H. Siegel has collaborated with scholars based in United States and Portugal. Frequent co-authors include Mahadev Satyanarayanan, James J. Kistler, Puneet Kumar, David C. Steere, Alexander M. Klibanov, Luı́s Rodrigues, Paulo Verı́ssimo, Rosaria Simone, Isabelle Chrisment and Christian Huitema. Their work appears in journals such as IEEE Transactions on Computers, Enzyme and Microbial Technology and HAL (Le Centre pour la Communication Scientifique Directe).

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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