Heinz Horner

2.0k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Heinz Horner is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Heinz Horner has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Condensed Matter Physics, 8 papers in Atomic and Molecular Physics, and Optics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Heinz Horner's work include Theoretical and Computational Physics (7 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Neural Networks and Applications (4 papers). Heinz Horner is often cited by papers focused on Theoretical and Computational Physics (7 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Neural Networks and Applications (4 papers). Heinz Horner collaborates with scholars based in Germany and United States. Heinz Horner's co-authors include Anders Krogh, R. G. Palmer, John Hertz, Herbert Wagner, Harald Kinzelbach, K. Ziegler and Reinhard Lipowsky and has published in prestigious journals such as Physics Today, Advances In Physics and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Heinz Horner

19 papers receiving 1.3k citations

Hit Papers

Introduction to the Theory of Neural Computation 1991 2026 2002 2014 1991 200 400 600

Peers

Heinz Horner
Comparison fields: 5 of 130
  • Artificial Intelligence 373
  • Atomic and Molecular Physics, and Optics 351
  • Condensed Matter Physics 273
  • Materials Chemistry 245
  • Cognitive Neuroscience 193
Replace H. G. Schuster with:
H. G. Schuster Germany
D. Bollé Belgium
Rainer Hegger Germany
Joachim Reinhardt Germany
Laurent Daudet France
K. Y. Michael Wong Hong Kong
M. Reza Rahimi Tabar Iran
Zeev Olami Israel
E. Gurewitz United States
C. Vidal France
H. G. Schuster Germany View profile →
Citations per field, relative to Heinz Horner
Heinz Horner · 1×
Citations per year, relative to Heinz Horner
Heinz Horner · 1×

Countries citing papers authored by Heinz Horner

Since Specialization
Citations

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

Fields of papers citing papers by Heinz Horner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinz Horner

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 30
2 1
3 16
4 66
5 17
6
Introduction to the Theory of Neural Computation breakdown →
740
7 12
8 7
9 5
10 5
11 13
12 57
13 16
14 233
15 35
16 16
17 25
18 9
19 104

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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