Suma George

442 citations
13 papers · 339 · h-index 8

Impact in

Papers in

Suma George

13 papers receiving 332 citations

Peers

Suma George
Comparison fields: 5 of 46
  • Hardware and Architecture 52
  • Electrical and Electronic Engineering 262
  • Cognitive Neuroscience 61
  • Biomedical Engineering 134
  • Artificial Intelligence 92
Replace Brian Degnan with:
Brian Degnan United States
Richard Wunderlich United States
Craig Schlottmann United States
Stephen Nease United States
Stephen Brink United States
A. Pavasović Serbia
Shubha Ramakrishnan United States
Christopher M. Twigg United States
Xiaoyang Zeng China
Kyung Ki Kim South Korea
Suma George relative to Brian Degnan United States Brian Degnan's profile →
Citations per field
00.5×1.5×
Brian Degnan · 1×
Citations per year

Countries citing papers authored by Suma George

Since Specialization
Citations

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

Fields of papers citing papers by Suma George

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Suma George, 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 Suma George Line = papers co-authored together Suma George links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016112
2 201562
3 201640
4 201331
5 201329
6 201126
7 201511
8 198410
9 20046
10 20115
11 20113
12 20163
13 20111

About Suma George

Suma George is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience, Artificial Intelligence and Organic Chemistry, having authored 13 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Analog and Mixed-Signal Circuit Design (4 papers), Neural dynamics and brain function (3 papers), Neural Networks and Applications (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Advancements in PLL and VCO Technologies (2 papers), Synthesis and Catalytic Reactions (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Hardware and Architecture (52 citations), Electrical and Electronic Engineering (262 citations), Cognitive Neuroscience (61 citations), Biomedical Engineering (134 citations) and Artificial Intelligence (92 citations). Suma George has collaborated with scholars based in United States and Botswana. Frequent co-authors include Jennifer Hasler, Michelle Collins, Shubha Ramakrishnan, Stephen Nease, Richard Wunderlich, Sahil Shah, Scott Koziol, P. Hasler, Stephen Brink and G.C. Mead. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Biomedical Circuits and Systems, European Journal of Cancer, Veterinary Record and Journal of Low Power Electronics and Applications.

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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