T. J. P. Penna
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 4
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- Opinion Dynamics and Social Influence 5
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics 13
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis 6
- Modeling and Simulation top 5%
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- Evolution and Genetic Dynamics 11
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- Evolutionary Game Theory and Cooperation 7
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- Neural Networks and Applications 7
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- Cellular Automata and Applications 5
- Co-authors
- P.M.C. de OliveiraD. StaufferS. Moss de OliveiraAquino L. EspíndolaVito ChiancaH. J. HerrmannAdriene Ribeiro LimaGilney Figueira Zebende
- Journals
- Computer Physics Communications (1 paper)Nuclear Physics A (1 paper)Solid State Communications (1 paper)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
T. J. P. Penna
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Aging 100
- Statistical and Nonlinear Physics 456
- Condensed Matter Physics 264
- Economics and Econometrics 347
- Modeling and Simulation 51
Countries citing papers authored by T. J. P. Penna
This map shows the geographic impact of T. J. P. Penna'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 T. J. P. Penna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. P. Penna more than expected).
Fields of papers citing papers by T. J. P. Penna
This network shows the impact of papers produced by T. J. P. Penna. 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 T. J. P. Penna. The network helps show where T. J. P. Penna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. J. P. Penna, 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 | 2023 | 1 | |
| 2 | 2018 | 17 | |
| 3 | 2015 | 11 | |
| 4 | 2012 | 6 | |
| 5 | 2011 | 5 | |
| 6 | 2004 | 2 | |
| 7 | 2003 | 2 | |
| 8 | 2001 | 14 | |
| 9 | 2000 | 7 | |
| 10 | 1998 | 1 | |
| 11 | 1998 | 115 | |
| 12 | Broad Histogram Monte Carlo | 1997 | 50 |
| 13 | Search for an unitary mortality law through a theoretical model for biological ageing | 1997 | 2 |
| 14 | 1997 | 14 | |
| 15 | Broad Histogram Method | 1996 | 63 |
| 16 | 1995 | 212 | |
| 17 | 1995 | 27 | |
| 18 | 1994 | 12 | |
| 19 | 1994 | 2 | |
| 20 | 1990 | 1 |
About T. J. P. Penna
T. J. P. Penna is a scholar working on Aging, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (13 papers), Evolution and Genetic Dynamics (11 papers), Evolutionary Game Theory and Cooperation (7 papers), Neural Networks and Applications (7 papers), Complex Systems and Time Series Analysis (6 papers), Cellular Automata and Applications (5 papers), Opinion Dynamics and Social Influence (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (100 citations), Statistical and Nonlinear Physics (456 citations) and Condensed Matter Physics (264 citations). T. J. P. Penna has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include P.M.C. de Oliveira, D. Stauffer, S. Moss de Oliveira, Aquino L. Espíndola, Vito Chianca, H. J. Herrmann, Adriene Ribeiro Lima, Gilney Figueira Zebende, Dietrich Stauffer and J. S. Sá Martins. Their work appears in journals such as Computer Physics Communications, Nuclear Physics A and Solid State Communications.
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.