Daniel Cletheroe

613 citations
13 papers · 366 indexed · h-index 9

Impact in

Papers in

Daniel Cletheroe

10 papers receiving 355 citations

Peers

Daniel Cletheroe
Comparison fields: 5 of 43
  • Human-Computer Interaction 82
  • Computer Science Applications 46
  • Human Factors and Ergonomics 16
  • Computer Networks and Communications 115
  • Cognitive Neuroscience 78
Replace Sina Bahram with:
Sina Bahram United States
Robert Templeman United States
Cheng‐Yu Hung Taiwan
Weikai Xie China
Younghyun Ju South Korea
Nevena Ackovska North Macedonia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Cletheroe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cletheroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020119
2 201862
3 201850
4 202034
5 201831
6
XFabric: a reconfigurable in-rack network for rack-scale computers
201622
7 201918
8 201914
9 201912
10 20203
11 20081
12 20250
13 20180

About Daniel Cletheroe

Daniel Cletheroe is a scholar working on Electrical and Electronic Engineering, Human-Computer Interaction, Computer Networks and Communications, Computer Science Applications and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 366 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (4 papers), Optical Network Technologies (4 papers), Photonic and Optical Devices (4 papers), Semiconductor Lasers and Optical Devices (3 papers), Teaching and Learning Programming (3 papers), Embedded Systems Design Techniques (2 papers), Tactile and Sensory Interactions (2 papers) and Advanced Optical Network Technologies (1 paper). The work is most often cited by research in Human-Computer Interaction (82 citations), Computer Science Applications (46 citations), Human Factors and Ergonomics (16 citations), Computer Networks and Communications (115 citations) and Cognitive Neuroscience (78 citations). Daniel Cletheroe has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Hugh Williams, Benn C. Thomsen, Paolo Costa, Kai Shi, Krzysztof Jóźwik, Istvan Haller, Hitesh Ballani, Nicolas Villar, Fotini Karinou and Greg Saul. Their work appears in journals such as Human-Computer Interaction, Nature Electronics, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Networked Systems Design and Implementation.

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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