Deborah T. Marr

970 total citations · 1 hit paper
7 papers, 575 citations indexed

About

Deborah T. Marr is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Deborah T. Marr has authored 7 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hardware and Architecture, 5 papers in Computer Networks and Communications and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Deborah T. Marr's work include Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (4 papers) and Interconnection Networks and Systems (3 papers). Deborah T. Marr is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (4 papers) and Interconnection Networks and Systems (3 papers). Deborah T. Marr collaborates with scholars based in United States and United Kingdom. Deborah T. Marr's co-authors include David Koufaty, Tse-Yu Yeh, Yale N. Patt and S. Natarajan and has published in prestigious journals such as Computer and IEEE Micro.

In The Last Decade

Deborah T. Marr

7 papers receiving 531 citations

Hit Papers

Hyper-Threading Technology Architecture and MIcroarchitec... 2002 2026 2010 2018 2002 100 200 300

Peers

Deborah T. Marr
Comparison fields: 5 of 53
  • Hardware and Architecture 446
  • Computer Networks and Communications 395
  • Electrical and Electronic Engineering 95
  • Information Systems 80
  • Artificial Intelligence 50
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Citations per field, relative to Deborah T. Marr
Deborah T. Marr · 1×
Citations per year, relative to Deborah T. Marr
Deborah T. Marr · 1×

Countries citing papers authored by Deborah T. Marr

Since Specialization
Citations

This map shows the geographic impact of Deborah T. Marr'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 Deborah T. Marr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah T. Marr more than expected).

Fields of papers citing papers by Deborah T. Marr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah T. Marr. 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 Deborah T. Marr. The network helps show where Deborah T. Marr may publish in the future.

Co-authorship network of co-authors of Deborah T. Marr

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 8
2 157
3
Hyper-Threading Technology Architecture and MIcroarchitecture breakdown →
305
4
Hyper-threading technology architecture and microarchitecture : a hyperhtext history
15
5 6
6 7
7 77

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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