L. F. Abbott

5.7k citations
6 papers · 4.0k indexed · 2 hit papers · h-index 4

L. F. Abbott

4 papers receiving 3.9k citations

Hit Papers

Competitive Hebbian learning through spike-timing-de...1.9k198320261997201150010001.5k

Peers

L. F. Abbott
Comparison fields: 5 of 90
  • Nuclear and High Energy Physics 1.9k
  • Astronomy and Astrophysics 1.4k
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 1.2k
  • Acoustics and Ultrasonics 27
Replace F. Della Valle with:
F. Della Valle Italy
Stiliyan Kalitzin Netherlands
Daniel Lenz Germany
Amanda Redlich United States
Volker Koch United States
P. Bonifazi Italy
Andrew Sornborger United States
Jason Puchalla United States
Joel Zylberberg United States
Arthur S. Schwartz United States
L. F. Abbott relative to F. Della Valle Italy F. Della Valle's profile →
Citations per field
00.5×7.9×
F. Della Valle · 1×
Citations per year

Countries citing papers authored by L. F. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by L. F. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. F. Abbott. 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 L. F. Abbott. The network helps show where L. F. Abbott may publish in the future.

Co-authorship network

The 10 scholars most cited alongside L. F. Abbott, 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 L. F. Abbott Line = papers co-authored together L. F. Abbott links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20250
2 20230
3 200437
4
Competitive Hebbian learning through spike-timing-dependent synaptic plasticitybreakdown →
20001914
5 198527
6
A cosmological bound on the invisible axionbreakdown →
19831981

About L. F. Abbott

L. F. Abbott is a scholar working on Biophysics, Astronomy and Astrophysics and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Optical Coherence Tomography Applications (2 papers), Cosmology and Gravitation Theories (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Advanced Memory and Neural Computing (2 papers), Particle physics theoretical and experimental studies (1 paper), Dark Matter and Cosmic Phenomena (1 paper) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.9k citations), Astronomy and Astrophysics (1.4k citations) and Cognitive Neuroscience (1.5k citations). L. F. Abbott has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include P. Sikivie, Sen Song, Kenneth D. Miller, Sidney Coleman, Darren K. Griffin, Giuseppe Silvestri, Rasmus D. Engelsholm, Adrian Bradu, Adrian Podoleanu and Peter J. I. Ellis. Their work appears in journals such as Nuclear Physics B, Reproductive BioMedicine Online, Journal of Neurophysiology, Physics Letters B and Nature Neuroscience.

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 authors with similar magnitude of impact

Rankless by CCL
2026