P. Ruján

1.1k total citations
42 papers, 733 citations indexed

About

P. Ruján is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, P. Ruján has authored 42 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Condensed Matter Physics, 15 papers in Atomic and Molecular Physics, and Optics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in P. Ruján's work include Theoretical and Computational Physics (23 papers), Neural Networks and Applications (10 papers) and Quantum many-body systems (10 papers). P. Ruján is often cited by papers focused on Theoretical and Computational Physics (23 papers), Neural Networks and Applications (10 papers) and Quantum many-body systems (10 papers). P. Ruján collaborates with scholars based in Germany, Hungary and United States. P. Ruján's co-authors include Mario Marchand, Wolfgang Kinzel, Josef Ammermüller, Mostefa Golea, A. Patkós, Martin Greschner, W. Selke, G. Györgyi, G. Uimin and Gareth Williams and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Nature Neuroscience.

In The Last Decade

P. Ruján

40 papers receiving 692 citations

Peers

P. Ruján
Comparison fields: 5 of 66
  • Condensed Matter Physics 282
  • Artificial Intelligence 243
  • Atomic and Molecular Physics, and Optics 172
  • Statistical and Nonlinear Physics 126
  • Cognitive Neuroscience 104
Replace P. Péretto with:
P. Péretto France
Isaac Pérez Castillo United Kingdom
Paul H. Bryant United States
P.‐M. Binder United States
Shigetoshi Nara Japan
Itay Hen United States
D. J. Mar United States
Paul S. Linsay United States
Nicolas Sourlas France
Neelima Gupte India
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Citations per field, relative to P. Ruján
P. Ruján · 1×
Citations per year, relative to P. Ruján
P. Ruján · 1×

Countries citing papers authored by P. Ruján

Since Specialization
Citations

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

Fields of papers citing papers by P. Ruján

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Ruján

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ruján. A scholar is included among the top collaborators of P. Ruján 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 P. Ruján. P. Ruján 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
Computing the Bayes Kernel Classifler
2
2 95
3 12
4 28
5
EFFECT OF ADAPTIVE STRATEGIES ON A SIMPLE MODEL OF FREEWAY TRAFFIC.
1
6 21
7 17
8 87
9
Learning by Minimizing Resources in Neural Networks
15
10 4
11 3
12 12
13 5
14 2
15 27
16 17
17 1
18 10
19 11
20 21

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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