Steven Strong

3.6k citations
28 papers · 2.6k indexed · 3 hit papers · h-index 16

Steven Strong

27 papers receiving 2.6k citations

Hit Papers

Entropy and Information in Neural Spike Trains6871993202620042015200400600

Peers

Steven Strong
Comparison fields: 5 of 103
  • Condensed Matter Physics 919
  • Cognitive Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 704
  • Statistical and Nonlinear Physics 400
  • Electronic, Optical and Magnetic Materials 442
Replace Benjamin Lindner with:
Benjamin Lindner Germany
David Beeman United States
Anatol M. Zhabotinsky United States
Hanoch Gutfreund Israel
Renato Mirollo United States
Samuel J. Williamson United States
Katharina Krischer Germany
R. Köberle Brazil
Masato Okada Japan
Michel Kerszberg France
Steven Strong relative to Benjamin Lindner Germany Benjamin Lindner's profile →
Citations per field
00.5×2.9×
Benjamin Lindner · 1×
Citations per year

Countries citing papers authored by Steven Strong

Since Specialization
Citations

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

Fields of papers citing papers by Steven Strong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Steven Strong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven Strong Line = papers co-authored together Steven Strong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2000243
2 19992
3 199837
4
On the application of information theory to neural spike trains.
199863
5
Reproducibility and Variability in Neural Spike Trainsbreakdown →
1997512
6 199715
7 199741
8 19977
9 19970
10
Interlayer Pair Hopping and the Spin Gap Phase of the Cuprate Superconductors
19961
11 199675
12 19967
13 19964
14 199515
15 19952
16 1994102
17 19946
18 199450
19
Interlayer Tunneling and Gap Anisotropy in High-Temperature Superconductorsbreakdown →
1993451
20 1992111

About Steven Strong

Steven Strong is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 28 papers that have together received 2.6k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (16 papers), Quantum and electron transport phenomena (12 papers), Quantum many-body systems (6 papers), Organic and Molecular Conductors Research (6 papers), Neural dynamics and brain function (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Advanced Condensed Matter Physics (4 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Condensed Matter Physics (919 citations), Cognitive Neuroscience (1.2k citations) and Cellular and Molecular Neuroscience (704 citations). Steven Strong has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include William Bialek, R. Köberle, Rob R. de Ruyter van Steveninck, Philip W. Anderson, Asle Sudbø, Sudip Chakravarty, David G. Clarke, Geoffrey D. Lewen, A. J. Millis and Naama Brenner. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter, Science, Journal of Physics Condensed Matter and Physics Today.

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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