Albert Magyar

576 citations
8 papers · 373 · h-index 6

Impact in

Papers in

Albert Magyar

7 papers receiving 363 citations

Peers

Albert Magyar
Comparison fields: 5 of 40
  • Hardware and Architecture 255
  • Software 24
  • Computer Networks and Communications 100
  • Electrical and Electronic Engineering 167
  • Artificial Intelligence 70
Replace David Biancolin with:
David Biancolin United States
Nathan Pemberton United States
Sied Mehdi Fakhraie Iran
Mohammad Ali Ghodrat United States
Daniel A. Connors United States
Anees Ullah Pakistan
Sunil Shukla United States
Tim Todman United Kingdom
Jenq Kuen Lee Taiwan
Henry Chang United States
Albert Magyar relative to David Biancolin United States David Biancolin's profile →
Citations per field
00.5×1.6×
David Biancolin · 1×
Citations per year

Countries citing papers authored by Albert Magyar

Since Specialization
Citations

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

Fields of papers citing papers by Albert Magyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Albert Magyar, 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 Albert Magyar Line = papers co-authored together Albert Magyar links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2020193
2 201798
3 201742
4 201924
5 20199
6 20205
7 20212
8 20170

About Albert Magyar

Albert Magyar is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 8 papers that have together received 373 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (7 papers), Parallel Computing and Optimization Techniques (7 papers), VLSI and Analog Circuit Testing (2 papers), Interconnection Networks and Systems (1 paper), Analog and Mixed-Signal Circuit Design (1 paper), Real-Time Systems Scheduling (1 paper), Evolutionary Algorithms and Applications (1 paper) and Low-power high-performance VLSI design (1 paper). The work is most often cited by research in Hardware and Architecture (255 citations), Software (24 citations), Computer Networks and Communications (100 citations), Electrical and Electronic Engineering (167 citations) and Artificial Intelligence (70 citations). Albert Magyar has collaborated with scholars based in United States. Frequent co-authors include Colin Schmidt, Jonathan Bachrach, Jim Lawson, Donggyu Kim, Richard J. Lin, David Biancolin, Krste Asanović, Jack Koenig, Patrick Li and John Wright. Their work appears in journals such as IEEE Micro, IEEE Solid-State Circuits Letters, eScholarship (California Digital Library) and International Conference on Computer Aided Design.

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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