P. Lipa
- Cognitive Neuroscience top 1%
- Memory and Neural Mechanisms 17
- Neural dynamics and brain function 5
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- Neuroscience and Neuropharmacology Research 16
- Developmental Neuroscience top 2%
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- High-Energy Particle Collisions Research 9
- Quantum Chromodynamics and Particle Interactions 9
- Particle physics theoretical and experimental studies 8
- Behavioral Neuroscience top 5%
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- Complex Systems and Time Series Analysis 6
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- Image and Signal Denoising Methods 4
- Co-authors
- Bruce L. McNaughtonB. BuschbeckCarol A. BarnesMonica K. ChawlaPaul WorleyJohn F. GuzowskiAndrew P. MaurerMartin Greiner
- Partner nations
- United StatesAustriaGermany
In The Last Decade
P. Lipa
47 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 1.3k
- Cellular and Molecular Neuroscience 1.2k
- Developmental Neuroscience 183
- Nuclear and High Energy Physics 360
- Behavioral Neuroscience 95
Countries citing papers authored by P. Lipa
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 20 | |
| 2 | 2016 | 34 | |
| 3 | 2015 | 72 | |
| 4 | 2015 | 5 | |
| 5 | 2014 | 6 | |
| 6 | 2013 | 23 | |
| 7 | 2012 | 17 | |
| 8 | 2012 | 32 | |
| 9 | 2011 | 42 | |
| 10 | 2007 | 6 | |
| 11 | 2006 | 142 | |
| 12 | 2006 | 57 | |
| 13 | 2005 | 157 | |
| 14 | 2005 | 214 | |
| 15 | 2005 | 299 | |
| 16 | 2004 | 16 | |
| 17 | 2004 | 200 | |
| 18 | Wavelets: from signal analysis to the analysis of complex processes. | 1998 | 0 |
| 19 | 1993 | 12 | |
| 20 | 1993 | 19 |
About P. Lipa
P. Lipa is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Nuclear and High Energy Physics, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (17 papers), Neuroscience and Neuropharmacology Research (16 papers), High-Energy Particle Collisions Research (9 papers), Quantum Chromodynamics and Particle Interactions (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 (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Cellular and Molecular Neuroscience (1.2k citations) and Developmental Neuroscience (183 citations). P. Lipa has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Bruce L. McNaughton, B. Buschbeck, Carol A. Barnes, Monica K. Chawla, Paul Worley, John F. Guzowski, Andrew P. Maurer, Martin Greiner, H. C. Eggers and Gary R. Sutherland. Their work appears in journals such as Journal of Neuroscience, Physics Letters B, Hippocampus, The European Physical Journal C and Behavioral 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.