David Goodell

787 citations
12 papers · 342 indexed · h-index 10

Impact in

Papers in

David Goodell

12 papers receiving 333 citations

Peers

David Goodell
Comparison fields: 5 of 40
  • Hardware and Architecture 246
  • Computer Networks and Communications 283
  • Computer Graphics and Computer-Aided Design 33
  • Information Systems 48
  • Computer Vision and Pattern Recognition 37
Replace Rakesh Krishnaiyer with:
Rakesh Krishnaiyer United States
Scott Atchley United States
J. A. Herdman United Kingdom
Chris J. Newburn United States
Daniel Johnson United States
Akshay Venkatesh United States
Cedric Nugteren Netherlands
Tim Rühl Netherlands
Anand Venkat United States
Juan Miguel Del Rosario United States
David Goodell relative to Rakesh Krishnaiyer United States Rakesh Krishnaiyer's profile →
Citations per field
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Rakesh Krishnaiyer · 1×
Citations per year

Countries citing papers authored by David Goodell

Since Specialization
Citations

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

Fields of papers citing papers by David Goodell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200947
2 201542
3 201141
4 200940
5 201038
6 201435
7 201332
8 201628
9 201014
10 201014
11 20136
12 20125

About David Goodell

David Goodell is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Information Systems, having authored 12 papers that have together received 342 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (9 papers), Distributed systems and fault tolerance (5 papers), Distributed and Parallel Computing Systems (5 papers), Interconnection Networks and Systems (2 papers), Computer Graphics and Visualization Techniques (1 paper), Digital Image Processing Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (246 citations), Computer Networks and Communications (283 citations), Computer Graphics and Computer-Aided Design (33 citations), Information Systems (48 citations) and Computer Vision and Pattern Recognition (37 citations). David Goodell has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Rajeev Thakur, Pavan Balaji, Darius Buntinas, William Gropp, James Dinan, Stéphanie Moreaud, Brice Goglin, Robert Ross, Marc Snir and Han‐Wei Shen. Their work appears in journals such as The International Journal of High Performance Computing Applications, Parallel Processing Letters, Concurrency and Computation Practice and Experience, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and HAL (Le Centre pour la Communication Scientifique Directe).

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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