Michael E. Senko

739 citations
28 papers · 594 · h-index 14

Impact in

Papers in

Michael E. Senko

27 papers receiving 506 citations

Peers

Michael E. Senko
Comparison fields: 5 of 79
  • Signal Processing 188
  • Computer Networks and Communications 348
  • Filtration and Separation 13
  • Artificial Intelligence 215
  • Physical and Theoretical Chemistry 46
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Citations per field
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Citations per year

Countries citing papers authored by Michael E. Senko

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Senko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Senko. 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 Michael E. Senko. The network helps show where Michael E. Senko may publish in the future.

Co-authors

The 7 scholars most cited alongside Michael E. Senko, 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 Michael E. Senko Line = papers co-authored together Michael E. Senko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973132
2 196057
3 196156
4 196142
5 197536
6
DIAM as a Detailed Example of the ANSI SPARC Architecture.
197627
7
A file organization evaluation model (FOREM).
196824
8 196922
9 197521
10 197020
11 197719
12 197516
13 197215
14 196915
15 198012
16 197612
17
FORAL LP: design and implementation
197811
18 195811
19 19749
20
FORAL LP - Making Pointed Queries with a Light Pen.
19778

About Michael E. Senko

Michael E. Senko is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Signal Processing and Information Systems, having authored 28 papers that have together received 594 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (5 papers), Parallel Computing and Optimization Techniques (5 papers), Semantic Web and Ontologies (5 papers), Advanced Data Storage Technologies (4 papers), Distributed systems and fault tolerance (3 papers), Distributed and Parallel Computing Systems (3 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Signal Processing (188 citations), Computer Networks and Communications (348 citations), Filtration and Separation (13 citations), Artificial Intelligence (215 citations) and Physical and Theoretical Chemistry (46 citations). Michael E. Senko has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Eitan Altman, M. M. Astrahan, David H. Templeton, B. Post, Vincent Y. Lum, Soumyadip Ghosh and Hilton Ling. Their work appears in journals such as Information Systems, IBM Systems Journal, Communications of the ACM, ACM SIGPLAN Notices and Journal of the ACM.

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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