Andrew DeOrio

1.4k citations
38 papers · 1.0k · h-index 16

Impact in

Papers in

Andrew DeOrio

37 papers receiving 1.0k citations

Peers

Andrew DeOrio
Comparison fields: 5 of 38
  • Hardware and Architecture 692
  • Computer Networks and Communications 712
  • Software 46
  • Electrical and Electronic Engineering 636
  • Computer Science Applications 40
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Martin Radetzki Germany
María E. Gómez Spain
Chien‐Min Wang Taiwan
Cruz Izu Australia
Erno Salminen Finland
Manolis Katevenis Greece
Pejman Lotfi-Kamran Iran
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S. Yalamanchili United States
Saturnino Garcia United States
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Countries citing papers authored by Andrew DeOrio

Since Specialization
Citations

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

Fields of papers citing papers by Andrew DeOrio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Andrew DeOrio, 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 Andrew DeOrio Line = papers co-authored together Andrew DeOrio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009156
2 2009150
3 2009132
4 201181
5 200980
6 201268
7 200945
8 200941
9 200939
10 201237
11 200825
12 201323
13 201119
14 201317
15 201715
16 200915
17 201114
18 201111
19 201111
20 20099

About Andrew DeOrio

Andrew DeOrio is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Computer Science Applications, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (11 papers), Radiation Effects in Electronics (11 papers), Parallel Computing and Optimization Techniques (9 papers), Interconnection Networks and Systems (8 papers), Teaching and Learning Programming (5 papers), Experimental Learning in Engineering (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (692 citations), Computer Networks and Communications (712 citations), Software (46 citations), Electrical and Electronic Engineering (636 citations) and Computer Science Applications (40 citations). Andrew DeOrio has collaborated with scholars based in United States. Frequent co-authors include Valeria Bertacco, David Fick, David Blaauw, Dennis Sylvester, Jin Hu, Gregory Chen, Li-Shiuan Peh, Guihai Chen, Konstantinos Aisopos and Ilya Wagner. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Education, ACM Transactions on Design Automation of Electronic Systems, Design, Automation, and Test in Europe and Zenodo (CERN European Organization for Nuclear Research).

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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