Margaret H. Eich
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Co-authors
- Priti MishraLe GruenwaldDavid L. WellsBehrooz ShiraziAli R. HursonL. L. MillerS. H. Pakzad
- Topics
- Advanced Data Storage Technologies (12 papers)Advanced Database Systems and Queries (12 papers)Distributed systems and fault tolerance (10 papers)
- Partner nations
- United States
In The Last Decade
Margaret H. Eich
18 papers receiving 304 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 304
- Signal Processing 160
- Information Systems 95
- Artificial Intelligence 92
- Hardware and Architecture 54
Countries citing papers authored by Margaret H. Eich
This map shows the geographic impact of Margaret H. Eich'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 Margaret H. Eich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret H. Eich more than expected).
Fields of papers citing papers by Margaret H. Eich
This network shows the impact of papers produced by Margaret H. Eich. 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 Margaret H. Eich. The network helps show where Margaret H. Eich may publish in the future.
Co-authorship network of co-authors of Margaret H. Eich
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret H. Eich. A scholar is included among the top collaborators of Margaret H. Eich 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 Margaret H. Eich. Margaret H. Eich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 234 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | Parallel architectures for databases systems | 3 |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | Transaction Oriented Performance Analysis of Database Machines. | 2 |
| 20 | Concurrency in a data flow database machine | 2 |
About Margaret H. Eich
Margaret H. Eich is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (12 papers), Advanced Database Systems and Queries (12 papers) and Distributed systems and fault tolerance (10 papers). The work is most often cited by research in Signal Processing (160 citations), Computer Networks and Communications (304 citations) and Hardware and Architecture (54 citations). Margaret H. Eich has collaborated with scholars based in United States. Frequent co-authors include Priti Mishra, Le Gruenwald, David L. Wells, Behrooz Shirazi, Ali R. Hurson, L. L. Miller and S. H. Pakzad. Their work appears in journals such as ACM Computing Surveys, Information Sciences and IEEE Transactions on Software Engineering.
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.