Daniel Weyer

580 citations
28 papers · 429 · h-index 12

Impact in

Papers in

    • VLSI and Analog Circuit Testing 9
    • Physical Unclonable Functions (PUFs) and Hardware Security 7
    • Embedded Systems Design Techniques 5
    • Integrated Circuits and Semiconductor Failure Analysis 5
    • Radio Frequency Integrated Circuit Design 3
    • Advancements in PLL and VCO Technologies 3
    • Semiconductor materials and devices 3
    • Advanced Memory and Neural Computing 3

Daniel Weyer

27 papers receiving 398 citations

Peers

Daniel Weyer
Comparison fields: 5 of 36
  • Hardware and Architecture 247
  • Cellular and Molecular Neuroscience 102
  • Electrical and Electronic Engineering 321
  • Signal Processing 27
  • Artificial Intelligence 65
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Chun-Yao Wang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Weyer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Weyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Weyer, 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 Weyer Line = papers co-authored together Daniel Weyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201083
2 200960
3 202139
4 201834
5 201529
6 201827
7 200326
8 201519
9 201016
10 200216
11 200316
12 201712
13 20106
14 20146
15 20196
16 20145
17 20205
18 20204
19 20104
20 20214

About Daniel Weyer

Daniel Weyer is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Signal Processing, Software and Computational Theory and Mathematics, having authored 28 papers that have together received 429 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (9 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), Embedded Systems Design Techniques (5 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Radio Frequency Integrated Circuit Design (3 papers), Advancements in PLL and VCO Technologies (3 papers), Semiconductor materials and devices (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Hardware and Architecture (247 citations), Cellular and Molecular Neuroscience (102 citations), Electrical and Electronic Engineering (321 citations), Signal Processing (27 citations) and Artificial Intelligence (65 citations). Daniel Weyer has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include C. Papachristou, Francis Wolff, Michael P. Flynn, Swarup Bhunia, Yaqi Li, Christine M. Weston, Sunmin Jang, Bhanu Pratap Singh, Bhanu Pratap Singh and Seetharam Narasimhan. Their work appears in journals such as IEEE Access, Microelectronics Reliability, IEEE Journal of Solid-State Circuits, Design, Automation, and Test in Europe and OhioLink ETD Center (Ohio Library and Information Network).

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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