C. Lytle

480 citations
4 papers · 322 · 1 hit paper · h-index 3

Impact in

Papers in

Journals
Physical Review X (1 paper)IEEE Custom Integrated Circuits Conference (CICC) (1 paper)IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
Partner nations
United States

In The Last Decade

C. Lytle

3 papers receiving 301 citations

C. Lytle's Hit Papers

A Race-Track Trapped-Ion Quantum Processor 2023 · 227 citations
2270+1+2Years since publication50100150200

Peers

C. Lytle
Comparison fields: 5 of 15
  • Signal Processing 83
  • Artificial Intelligence 209
  • Atomic and Molecular Physics, and Optics 67
  • Computer Vision and Pattern Recognition 20
  • Hardware and Architecture 3
Replace Moran Chen with:
Moran Chen China
Yasunari Suzuki Japan
Pierre-Luc Dallaire-Demers Germany
Ferenc Szöllősi Finland
Theodoros N. F. Kaifas Greece
Anthony Damini Canada
Normand J. Beaudry Canada
Wouter Vlothuizen Netherlands
В. Н. Горбачев Russia
Naqueeb Ahmad Warsi India
C. Lytle relative to Moran Chen China Moran Chen's profile →
Citations per field
00.5×2×4×6×7.5×
Moran Chen · 1×
Citations per year

Countries citing papers authored by C. Lytle

Since Specialization
Citations

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

Fields of papers citing papers by C. Lytle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside C. Lytle, 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 C. Lytle Line = papers co-authored together C. Lytle links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
A Race-Track Trapped-Ion Quantum Processor
Hit paper breakdown →
2023227
2 202191
3 20024
4 20020

About C. Lytle

C. Lytle is a scholar working on Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 4 papers that have together received 322 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (2 papers), Video Coding and Compression Technologies (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Signal Processing (83 citations), Artificial Intelligence (209 citations), Atomic and Molecular Physics, and Optics (67 citations), Computer Vision and Pattern Recognition (20 citations) and Hardware and Architecture (3 citations). C. Lytle has collaborated with scholars based in United States. Frequent co-authors include Lubomir D. Bourdev, Kedar Tatwawadi, Alexander G. Anderson, Oren Rippel, Richard Cliff, F. B. Heile and Bruce Pedersen. Their work appears in journals such as Physical Review X, IEEE Custom Integrated Circuits Conference (CICC) and IEEE/CVF International Conference on Computer Vision (ICCV).

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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