Neural Networks

7.2k papers and 316.3k indexed citations

About

The 7.2k papers published in Neural Networks in the last decades have received a total of 316.3k indexed citations. Papers published in Neural Networks usually cover Artificial Intelligence (4.0k papers), Computer Vision and Pattern Recognition (1.9k papers) and Cognitive Neuroscience (1.7k papers) specifically the topics of Neural Networks and Applications (2.0k papers), Neural dynamics and brain function (1.3k papers) and Advanced Memory and Neural Computing (802 papers). The most active scholars publishing in Neural Networks are Jürgen Schmidhuber, Kurt Hornik, Halbert White, Maxwell B. Stinchcombe, David H. Wolpert, Erkki Oja, Ken-ichi Funahashi, Stephen Grossberg, Aapo Hyvärinen and Martin F. Møller.

In The Last Decade

Neural Networks

6.5k papers receiving 297.8k citations

Peers

Neural Networks
Comparison fields: 5 of 246
  • Artificial Intelligence 127.6k
  • Cognitive Neuroscience 55.5k
  • Computer Vision and Pattern Recognition 52.8k
  • Electrical and Electronic Engineering 49.4k
  • Computer Networks and Communications 43.3k
Replace Neural Computation with:
Neural Computation United States
Neurocomputing China
Expert Systems with Applications China
IEEE Transactions on Neural Networks and Learning Systems China
Machine Learning United States
Proceedings of the IEEE United States
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Journal of Machine Learning Research United States
Neural Computing and Applications China
Information Sciences China
Neural Computation United States View profile →
Citations per field, relative to Neural Networks
Neural Networks · 1×
Citations per year, relative to Neural Networks
Neural Networks · 1×

Countries where authors publish in Neural Networks

Since Specialization
Citations

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

Fields of papers published in Neural Networks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neural Networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Neural Networks.

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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