Edwin Skidmore

831 citations
12 papers · 190 · h-index 5

Impact in

Papers in

Edwin Skidmore

10 papers receiving 186 citations

Peers

Edwin Skidmore
Comparison fields: 5 of 75
  • Information Systems and Management 80
  • Computer Networks and Communications 73
  • Information Systems 69
  • Management Science and Operations Research 15
  • Artificial Intelligence 20
Replace Ákos Balaskó with:
Ákos Balaskó Hungary
Morane Gruenpeter France
Eli Dart United States
Stephanie van de Sandt Switzerland
Thomas Laurent United Kingdom
Lena Strömbäck Sweden
Barbara Magagna Netherlands
Stephen Simms United States
D. Churches United Kingdom
Frank Scholze Germany
Edwin Skidmore relative to Ákos Balaskó Hungary Ákos Balaskó's profile →
Citations per field
00.5×5×10×17×
Ákos Balaskó · 1×
Citations per year

Countries citing papers authored by Edwin Skidmore

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Skidmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2015119
2 202126
3 201116
4 201613
5 20245
6 20243
7 20233
8
System Acceptance Report for NSF award 1445604 ”High Performance Computing System Acquisition: Jetstream - A Self-Provisioned, Scalable Science and Engineering Cloud Environment”
20162
9 20131
10 19671
11 20191
12 20250

About Edwin Skidmore

Edwin Skidmore is a scholar working on Information Systems and Management, Information Systems, Computer Networks and Communications, Molecular Biology and Artificial Intelligence, having authored 12 papers that have together received 190 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Distributed and Parallel Computing Systems (4 papers), Cloud Computing and Resource Management (2 papers), Advanced Data Storage Technologies (2 papers), Research Data Management Practices (2 papers), Species Distribution and Climate Change (1 paper), Phase-change materials and chalcogenides (1 paper) and Digital Rights Management and Security (1 paper). The work is most often cited by research in Information Systems and Management (80 citations), Computer Networks and Communications (73 citations), Information Systems (69 citations), Management Science and Operations Research (15 citations) and Artificial Intelligence (20 citations). Edwin Skidmore has collaborated with scholars based in United States, Bangladesh and Qatar. Frequent co-authors include Nirav Merchant, David Y. Hancock, Dan Stanzione, Matthew Vaughn, James Taylor, Craig A. Stewart, T.M. Cockerill, Ian Foster, Niall Gaffney and G. W. Turner. Their work appears in journals such as Current Protocols in Bioinformatics, Frontiers in Plant Science, Nucleic Acids Research, Rocks & Minerals and Communications in computer and information science.

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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