Tamara Dahlgren

456 citations
12 papers · 94 · h-index 7

Impact in

Papers in

Tamara Dahlgren

10 papers receiving 89 citations

Peers

Tamara Dahlgren
Comparison fields: 5 of 37
  • Information Systems and Management 36
  • Hardware and Architecture 34
  • Computer Networks and Communications 68
  • Information Systems 30
  • Software 4
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Countries citing papers authored by Tamara Dahlgren

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Dahlgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200528
2 201117
3 200510
4
Computational Quality of Service for Scientific CCA Applications: Composition, Substitution, and Reconfiguration
20068
5 20057
6 20047
7
Toward the Automated Generation of Components from Existing Source Code
20046
8
Babel Users' Guide
20046
9 20063
10 20092
11 20090
12 20080

About Tamara Dahlgren

Tamara Dahlgren is a scholar working on Computer Networks and Communications, Information Systems and Management, Hardware and Architecture, Information Systems and Artificial Intelligence, having authored 12 papers that have together received 94 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Scientific Computing and Data Management (7 papers), Parallel Computing and Optimization Techniques (5 papers), Software System Performance and Reliability (4 papers), Distributed systems and fault tolerance (3 papers), Cloud Computing and Resource Management (2 papers), Advanced Software Engineering Methodologies (2 papers) and Software Engineering and Design Patterns (1 paper). The work is most often cited by research in Information Systems and Management (36 citations), Hardware and Architecture (34 citations), Computer Networks and Communications (68 citations), Information Systems (30 citations) and Software (4 citations). Tamara Dahlgren has collaborated with scholars based in United States and Canada. Frequent co-authors include G Kumfert, T Epperly, Prémkumar Dévanbu, Lois Curfman McInnes, Matthew Sottile, Steven G. Parker, Rob Armstrong, Dietmar Ebner, Scott R. Kohn and Diana Quinlan. Their work appears in journals such as The International Journal of High Performance Computing Applications, Concurrency and Computation Practice and Experience, Journal of Physics Conference Series, 44th AIAA Aerospace Sciences Meeting and Exhibit and University of North Texas Digital Library (University of North Texas).

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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