Nicholas Soures

503 total citations
18 papers, 163 citations indexed

About

Nicholas Soures is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Nicholas Soures has authored 18 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 8 papers in Cognitive Neuroscience. Recurrent topics in Nicholas Soures's work include Advanced Memory and Neural Computing (15 papers), Neural Networks and Reservoir Computing (10 papers) and Neural dynamics and brain function (7 papers). Nicholas Soures is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Neural Networks and Reservoir Computing (10 papers) and Neural dynamics and brain function (7 papers). Nicholas Soures collaborates with scholars based in United States, Italy and Germany. Nicholas Soures's co-authors include Dhireesha Kudithipudi, Matthew Marinella, Sapan Agarwal, Raqibul Hasan, Cory Merkel, Tarek M. Taha, Jeffrey A. Steidle, Stefan F. Preble, Robin Jacobs-Gedrim and Nathan McDonald and has published in prestigious journals such as Scientific Reports, Computer and IEEE Signal Processing Magazine.

In The Last Decade

Nicholas Soures

16 papers receiving 158 citations

Peers

Nicholas Soures
Comparison fields: 5 of 24
  • Electrical and Electronic Engineering 148
  • Artificial Intelligence 112
  • Cognitive Neuroscience 78
  • Cellular and Molecular Neuroscience 25
  • Computer Networks and Communications 6
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Yingyezhe Jin United States View profile →
Citations per field, relative to Nicholas Soures
Nicholas Soures · 1×
Citations per year, relative to Nicholas Soures
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Countries citing papers authored by Nicholas Soures

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Soures

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Soures

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Soures. A scholar is included among the top collaborators of Nicholas Soures based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas Soures. Nicholas Soures is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 9
4 3
5 39
6 2
7 8
8 6
9 1
10 2
11 3
12
Deep Liquid State Machines with Neural Plasticity and On-Device Learning
5
13 11
14 6
15 22
16 25
17 9
18 12

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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