Kyle Rupnow

1.6k citations
51 papers · 1.1k · h-index 19

Impact in

Papers in

Kyle Rupnow

51 papers receiving 1.0k citations

Peers

Kyle Rupnow
Comparison fields: 5 of 63
  • Hardware and Architecture 610
  • Computer Networks and Communications 448
  • Computer Vision and Pattern Recognition 300
  • Computational Mathematics 5
  • Signal Processing 67
Replace Kalin Ovtcharov with:
Kalin Ovtcharov Canada
Youngsok Kim South Korea
Michaela Blott United States
Rimas Avižienis United States
Matthew Mattina United States
Greg Stitt United States
Brian Richards United States
Sunggu Lee South Korea
Robert Mullins United Kingdom
Ramyad Hadidi United States
Kyle Rupnow relative to Kalin Ovtcharov Canada Kalin Ovtcharov's profile →
Citations per field
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Kalin Ovtcharov · 1×
Citations per year

Countries citing papers authored by Kyle Rupnow

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Rupnow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 201485
3 201369
4 201763
5 201260
6 200757
7 201639
8 201239
9 201138
10 201135
11 201633
12 201733
13 201232
14 201731
15 201431
16 201724
17 201622
18 200921
19 201218
20 201518

About Kyle Rupnow

Kyle Rupnow is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (31 papers), Parallel Computing and Optimization Techniques (29 papers), Interconnection Networks and Systems (17 papers), CCD and CMOS Imaging Sensors (11 papers), VLSI and Analog Circuit Testing (7 papers), Advanced Neural Network Applications (6 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Hardware and Architecture (610 citations), Computer Networks and Communications (448 citations), Computer Vision and Pattern Recognition (300 citations), Computational Mathematics (5 citations) and Signal Processing (67 citations). Kyle Rupnow has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Deming Chen, Yun Liang, Katherine Compton, Xiaofan Zhang, Wen‐mei Hwu, Keith D. Underwood, Deming Chen, Wei Zuo, Sitao Huang and Anand Ramachandran. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Reconfigurable Technology and Systems and IET Cyber-Physical Systems Theory & Applications.

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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