Nathan McDonald

1.2k citations
35 papers · 867 · h-index 14

Impact in

Papers in

Nathan McDonald

32 papers receiving 844 citations

Peers

Nathan McDonald
Comparison fields: 5 of 56
  • Hardware and Architecture 280
  • Cellular and Molecular Neuroscience 385
  • Electrical and Electronic Engineering 782
  • Cognitive Neuroscience 128
  • Artificial Intelligence 149
Replace Akhil Dodda with:
Akhil Dodda United States
W. Liu United States
Shiva Subbulakshmi Radhakrishnan United States
Ligang Gao United States
Peng Yan United States
Riduan Khaddam-Aljameh Switzerland
Bryant Wysocki United States
Chung Lam United States
Siyan Lin China
Rawan Naous Saudi Arabia
Nathan McDonald relative to Akhil Dodda United States Akhil Dodda's profile →
Citations per field
00.5×10×20×34×
Akhil Dodda · 1×
Citations per year

Countries citing papers authored by Nathan McDonald

Since Specialization
Citations

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

Fields of papers citing papers by Nathan McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019239
2 201593
3 201374
4 201358
5 201047
6 201344
7 201337
8 197036
9 201032
10 201532
11 201032
12 201327
13 201626
14 201514
15 201713
16 201212
17 20227
18
Compact Method for Modeling and Simulation of Memristor Devices
20116
19 20176
20 20205

About Nathan McDonald

Nathan McDonald is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Cognitive Neuroscience and Hardware and Architecture, having authored 35 papers that have together received 867 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Neuroscience and Neural Engineering (10 papers), Neural Networks and Reservoir Computing (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Neural dynamics and brain function (5 papers), Transition Metal Oxide Nanomaterials (3 papers) and Phase-change materials and chalcogenides (3 papers). The work is most often cited by research in Hardware and Architecture (280 citations), Cellular and Molecular Neuroscience (385 citations), Electrical and Electronic Engineering (782 citations), Cognitive Neuroscience (128 citations) and Artificial Intelligence (149 citations). Nathan McDonald has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Bryant Wysocki, Garrett S. Rose, Robinson E. Pino, Ramesh Karri, Miodrag Potkonjak, G. R. Wallwork, Wenhao Song, Qiangfei Xia, J. Joshua Yang and Qinru Qiu. Their work appears in journals such as Applied Physics Letters, Journal of Lightwave Technology, Communications Physics, Nature Machine Intelligence and IEEE Consumer Electronics Magazine.

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.

Explore authors with similar magnitude of impact