Neural Networks

354.1k citations
7.5k papers · · active since 1950

Impact in

Papers in

Neural Networks

6.7k papers receiving 333.0k citations

Peers

Neural Networks
Comparison fields: 5 of 245
  • Artificial Intelligence 145.8k
  • Cognitive Neuroscience 60.9k
  • Computer Vision and Pattern Recognition 60.2k
  • Statistical and Nonlinear Physics 32.4k
  • Signal Processing 27.6k
Replace Neural Computation with:
Neural Computation United States
Expert Systems with Applications China
Neurocomputing China
IEEE Transactions on Neural Networks and Learning Systems China
Machine Learning United States
Proceedings of the IEEE United States
Information Sciences China
Knowledge-Based Systems China
Journal of Machine Learning Research United States
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Neural Networks relative to Neural Computation United States Neural Computation's profile →
Citations per field
00.5×1.7×
Neural Computation · 1×
Citations per year

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.

About Neural Networks

The 7.5k papers published in Neural Networks in the last decades have received a total of 354.1k indexed citations . Papers published in Neural Networks usually cover Artificial Intelligence (4.1k papers), Cognitive Neuroscience (1.8k papers), Computer Vision and Pattern Recognition (2.0k papers), Statistical and Nonlinear Physics (849 papers) and Computational Mathematics (37 papers) specifically the topics of Neural Networks and Applications (2.0k papers), Neural dynamics and brain function (1.3k papers), Advanced Memory and Neural Computing (817 papers), Neural Networks Stability and Synchronization (708 papers), Face and Expression Recognition (546 papers), Domain Adaptation and Few-Shot Learning (466 papers), Machine Learning and ELM (421 papers) and stochastic dynamics and bifurcation (390 papers). The most active scholars publishing in Neural Networks are Jürgen Schmidhuber, Kurt Hornik, Halbert White, Maxwell B. Stinchcombe, David H. Wolpert, Erkki Oja, Stephen Grossberg, Ken-ichi Funahashi, Aapo Hyvärinen and Martin F. Møller.

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 journals with similar magnitude of impact