Neural Computation

354.0k citations
3.2k papers · · active since 1950

Impact in

Papers in

Neural Computation

3.1k papers receiving 333.7k citations

Peers

Neural Computation
Comparison fields: 5 of 242
  • Cognitive Neuroscience 88.9k
  • Artificial Intelligence 139.0k
  • Signal Processing 43.6k
  • Computer Vision and Pattern Recognition 71.5k
  • Statistical and Nonlinear Physics 23.6k
Replace Journal of the Royal Statistical Society Series B (Statistical Methodology) with:
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Machine Learning United States
Journal of Machine Learning Research United States
IEEE Signal Processing Magazine United States
Psychological Review United States
Biological Cybernetics United States
IEEE Transactions on Cybernetics China
IEEE Transactions on Medical Imaging United States
The Annals of Statistics United States
Psychological Bulletin United States
Neural Computation relative to Journal of the Royal Statistical Society Series B (Statistical Methodology) United States Journal of the Royal Statistical Society Series B (Statistical Methodology)'s profile →
Citations per field
00.5×5.0×
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1×
Citations per year

Countries where authors publish in Neural Computation

Since Specialization
Citations

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

Fields of papers published in Neural Computation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neural Computation. 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 Computation.

About Neural Computation

The 3.2k papers published in Neural Computation in the last decades have received a total of 354.0k indexed citations . Papers published in Neural Computation usually cover Cognitive Neuroscience (1.7k papers), Artificial Intelligence (1.5k papers), Statistical and Nonlinear Physics (534 papers), Cellular and Molecular Neuroscience (641 papers) and Signal Processing (358 papers) specifically the topics of Neural dynamics and brain function (1.6k papers), Neural Networks and Applications (1.1k papers), Advanced Memory and Neural Computing (533 papers), stochastic dynamics and bifurcation (372 papers), Blind Source Separation Techniques (305 papers), Neuroscience and Neural Engineering (272 papers), Visual perception and processing mechanisms (269 papers) and Neuroscience and Neuropharmacology Research (223 papers). The most active scholars publishing in Neural Computation are Jürgen Schmidhuber, Sepp Hochreiter, David Mackay, Geoffrey E. Hinton, Terrence J. Sejnowski, Simon Osindero, Yee‐Whye Teh, Anthony J. Bell, Bernhard Schölkopf and Geoffrey E. Hinton.

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