Kyle Rupnow

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

Impact in

Papers in

Kyle Rupnow

51 papers receiving 1.1k citations

Peers

Kyle Rupnow
Comparison fields: 5 of 63
  • Hardware and Architecture 653
  • Computer Networks and Communications 468
  • Computer Vision and Pattern Recognition 318
  • Computational Mathematics 5
  • Electrical and Electronic Engineering 373
Replace Michaela Blott with:
Michaela Blott United States
Kalin Ovtcharov Canada
Youngsok Kim South Korea
Jose Nunez‐Yanez United Kingdom
Robert Mullins United Kingdom
Rimas Avižienis United States
Emmanuel Amaro United States
R. Hermida Spain
Xulong Tang United States
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Kyle Rupnow relative to Michaela Blott United States Michaela Blott's profile →
Citations per field
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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 2019122
2 201487
3 201373
4 201264
5 201763
6 200761
7 201242
8 201641
9 201141
10 201140
11 201638
12 201735
13 201234
14 201733
15 201432
16 201725
17 201625
18 200922
19 201520
20 201218

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 (653 citations), Computer Networks and Communications (468 citations), Computer Vision and Pattern Recognition (318 citations), Computational Mathematics (5 citations) and Electrical and Electronic Engineering (373 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, Wei Zuo, Deming Chen, 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 Very Large Scale Integration (VLSI) Systems, ACM Transactions on Reconfigurable Technology and Systems, IEEE Transactions on Parallel and Distributed 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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