P. Lipa

4.7k citations
51 papers · 2.3k · h-index 22

Impact in

Papers in

P. Lipa

48 papers receiving 2.2k citations

Peers

P. Lipa
Comparison fields: 5 of 107
  • Cognitive Neuroscience 1.4k
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 191
  • Behavioral Neuroscience 97
  • Nuclear and High Energy Physics 369
Replace Rubén Portugues with:
Rubén Portugues Germany
Georg B. Keller Switzerland
P. Bonifazi Italy
Véronique Bernard France
Urs Gerber Switzerland
K. I. Blum United States
Fred Wolf Germany
Henrique von Gersdorff United States
William L. Kath United States
R. G. H. Robertson United States
P. Lipa relative to Rubén Portugues Germany Rubén Portugues's profile →
Citations per field
00.5×5.4×
Rubén Portugues · 1×
Citations per year

Countries citing papers authored by P. Lipa

Since Specialization
Citations

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

Fields of papers citing papers by P. Lipa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Lipa, 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 P. Lipa Line = papers co-authored together P. Lipa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005316
2 2005228
3 2004226
4 2005165
5 2006151
6 1989132
7 2001129
8 1988104
9 201578
10 200274
11 200662
12 201150
13 200345
14 199636
15 201635
16 201234
17 199530
18 199629
19 199829
20 201328

About P. Lipa

P. Lipa is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (17 papers), Neuroscience and Neuropharmacology Research (16 papers), Quantum Chromodynamics and Particle Interactions (9 papers), High-Energy Particle Collisions Research (9 papers), Particle physics theoretical and experimental studies (8 papers), Complex Systems and Time Series Analysis (6 papers), Neural dynamics and brain function (5 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (191 citations), Behavioral Neuroscience (97 citations) and Nuclear and High Energy Physics (369 citations). P. Lipa has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Bruce L. McNaughton, Carol A. Barnes, B. Buschbeck, Monica K. Chawla, John F. Guzowski, Paul F. Worley, Andrew P. Maurer, Martin Greiner, Gary R. Sutherland and H. C. Eggers. Their work appears in journals such as Journal of Neuroscience, Physics Letters B, Hippocampus, The European Physical Journal C and Physical Review Letters.

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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