Rod Adams

631 total citations
51 papers, 326 citations indexed

About

Rod Adams is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Rod Adams has authored 51 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Cognitive Neuroscience and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Rod Adams's work include Neural dynamics and brain function (16 papers), Neural Networks and Applications (16 papers) and Advanced Memory and Neural Computing (15 papers). Rod Adams is often cited by papers focused on Neural dynamics and brain function (16 papers), Neural Networks and Applications (16 papers) and Advanced Memory and Neural Computing (15 papers). Rod Adams collaborates with scholars based in United Kingdom, United States and Netherlands. Rod Adams's co-authors include Neil Davey, Yi Sun, Marc B. Brown, Gary P. Moss, Volker Steuber, Reinoud Maex, W. Pugh, Sanda M. Harabagiu, Stella George and Alistair G. Rust and has published in prestigious journals such as Scientific Reports, Pattern Recognition and Neurocomputing.

In The Last Decade

Rod Adams

44 papers receiving 309 citations

Peers

Rod Adams
Comparison fields: 5 of 74
  • Artificial Intelligence 135
  • Pharmaceutical Science 74
  • Electrical and Electronic Engineering 62
  • Cognitive Neuroscience 60
  • Computational Theory and Mathematics 47
Replace Hyeon‐Kyu Lee with:
Hyeon‐Kyu Lee South Korea
Cheng Chang United States
Katarzyna Stąpor Poland
Da‐Wei Chang Taiwan
Sebastian Höppner Germany
Dušan Húsek Czechia
Daniel Jiménez-González Spain
Xiaojun Chen China
Zhiqiang Wan China
Hyeon‐Kyu Lee South Korea View profile →
Citations per field, relative to Rod Adams
Rod Adams · 1×
Citations per year, relative to Rod Adams
Rod Adams · 1×

Countries citing papers authored by Rod Adams

Since Specialization
Citations

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

Fields of papers citing papers by Rod Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rod Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Rod Adams. A scholar is included among the top collaborators of Rod Adams 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 Rod Adams. Rod Adams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Investigating optical transmission error correction using wavelet transforms.
1
2 4
3 12
4 21
5
The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and synthetic Membranes
1
6 19
7 0
8 23
9
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images
0
10 2
11 7
12
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents
1
13 2
14 7
15
Sparsely-connected associative memory models with displaced connectivity.
1
16
Gaussian and Exponential Architectures in Small-World Associative Memories
8
17
TreeGNG - Hierarchical Topological Clustering
12
18 12
19
Non-Euclidean Norms and Data Normalisation
13
20
Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural networks
2

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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