Mitchell A. Thornton

2.3k citations
197 papers · 1.7k · h-index 17

Impact in

Papers in

Mitchell A. Thornton

181 papers receiving 1.6k citations

Peers

Mitchell A. Thornton
Comparison fields: 5 of 80
  • Hardware and Architecture 443
  • Computational Theory and Mathematics 833
  • Artificial Intelligence 855
  • Software 101
  • Electrical and Electronic Engineering 802
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Görschwin Fey Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mitchell A. Thornton

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell A. Thornton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell A. Thornton. 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 Mitchell A. Thornton. The network helps show where Mitchell A. Thornton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007149
2 2003146
3 2006112
4 2007100
5 200894
6 201590
7 200160
8 201256
9 199534
10 201930
11 200224
12 200823
13 200122
14 201119
15 200917
16 200517
17 200617
18 201016
19 199716
20 200216

About Mitchell A. Thornton

Mitchell A. Thornton is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 197 papers that have together received 1.7k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (56 papers), Formal Methods in Verification (48 papers), VLSI and Analog Circuit Testing (44 papers), Quantum Computing Algorithms and Architecture (34 papers), Embedded Systems Design Techniques (29 papers), VLSI and FPGA Design Techniques (19 papers), Software Reliability and Analysis Research (18 papers) and Numerical Methods and Algorithms (17 papers). The work is most often cited by research in Hardware and Architecture (443 citations), Computational Theory and Mathematics (833 citations), Artificial Intelligence (855 citations), Software (101 citations) and Electrical and Electronic Engineering (802 citations). Mitchell A. Thornton has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include D. Michael Miller, Rolf Drechsler, Michael Miller, Jacqueline E. Rice, J.W. Bruce, Xiaofei Li, Kaitlin N. Smith, David M. Miller, David W. Matula and Vivek Nair. Their work appears in journals such as Electronics Letters, IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Computing in Science & Engineering and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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