T. J. P. Penna

1.7k total citations
63 papers, 1.3k citations indexed

About

T. J. P. Penna is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Genetics. According to data from OpenAlex, T. J. P. Penna has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 14 papers in Condensed Matter Physics and 11 papers in Genetics. Recurrent topics in T. J. P. Penna's work include Theoretical and Computational Physics (13 papers), Evolution and Genetic Dynamics (11 papers) and Evolutionary Game Theory and Cooperation (7 papers). T. J. P. Penna is often cited by papers focused on Theoretical and Computational Physics (13 papers), Evolution and Genetic Dynamics (11 papers) and Evolutionary Game Theory and Cooperation (7 papers). T. J. P. Penna collaborates with scholars based in Brazil, United States and Germany. T. J. P. Penna's 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 and has published in prestigious journals such as Computer Physics Communications, Nuclear Physics A and Solid State Communications.

In The Last Decade

T. J. P. Penna

63 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
T. J. P. Penna Brazil	18	456	347	276	264	232	63	1.3k
Paulo Murilo Castro de Oliveira Brazil	14	316 0.7×	191 0.6×	132 0.5×	243 0.9×	128 0.6×	55	745
Federico Vázquez Argentina	20	925 2.0×	90 0.3×	53 0.2×	116 0.4×	408 1.8×	47	1.3k
P.M.C. de Oliveira Brazil	16	302 0.7×	114 0.3×	81 0.3×	435 1.6×	76 0.3×	63	749
Yaroslav Ispolatov United States	19	380 0.8×	201 0.6×	257 0.9×	158 0.6×	198 0.9×	63	1.4k
J. Kamphorst Leal da Silva Brazil	21	476 1.0×	68 0.2×	176 0.6×	255 1.0×	275 1.2×	54	1.2k
Simone Pigolotti Japan	23	613 1.3×	34 0.1×	312 1.1×	100 0.4×	178 0.8×	73	1.7k
Gregory P. Harmer Australia	14	728 1.6×	206 0.6×	120 0.4×	21 0.1×	135 0.6×	20	1.6k
Steven N. Evans United States	28	98 0.2×	47 0.1×	390 1.4×	188 0.7×	74 0.3×	103	2.1k
Tobias Galla United Kingdom	22	403 0.9×	130 0.4×	430 1.6×	46 0.2×	465 2.0×	106	1.4k
Johannes Berg Germany	17	206 0.5×	61 0.2×	333 1.2×	69 0.3×	92 0.4×	48	1.3k

Countries citing papers authored by T. J. P. Penna

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of T. J. P. Penna

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. P. Penna. A scholar is included among the top collaborators of T. J. P. Penna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. J. P. Penna. T. J. P. Penna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Crokidakis, Nuno, et al.. (2018). Phase transitions and universality in the Sznajd model with anticonformity. Physica A Statistical Mechanics and its Applications. 513. 518–523. 17 indexed citations

Espíndola, Aquino L., et al.. (2015). An agent-based computational model for tuberculosis spreading on age-structured populations. Physica A Statistical Mechanics and its Applications. 428. 52–59. 11 indexed citations

Espíndola, Aquino L., Daniel M. Girardi, T. J. P. Penna, et al.. (2012). EXPLORATION OF THE PARAMETER SPACE IN AN AGENT-BASED MODEL OF TUBERCULOSIS SPREAD: EMERGENCE OF DRUG RESISTANCE IN DEVELOPING VS DEVELOPED COUNTRIES. International Journal of Modern Physics C. 23(6). 1250046–1250046. 6 indexed citations

Iarosz, Kelly C., Antônio M. Batista, Ricardo L. Viana, et al.. (2011). On a cellular automaton with time delay for modelling cancer tumors. Journal of Physics Conference Series. 285. 12015–12015. 5 indexed citations

García, Ana Cristina Bicharra, et al.. (2010). Sensor data analysis for equipment monitoring. Knowledge and Information Systems. 28(2). 333–364. 17 indexed citations

Oliveira, S. Moss de, et al.. (2004). The Penna model for biological aging and speciation. Computing in Science & Engineering. 6(3). 74–81. 2 indexed citations

Penna, T. J. P., et al.. (2003). Simulation of Zahavi's handicap principle. Brazilian Journal of Physics. 33(3). 619–622. 2 indexed citations

Stauffer, Dietrich, Paulo Murilo Castro de Oliveira, S. Moss de Oliveira, T. J. P. Penna, & J. S. Sá Martins. (2001). Computer simulations for biological aging and sexual reproduction. Anais da Academia Brasileira de Ciências. 73(1). 18–32. 14 indexed citations

Lima, Adriene Ribeiro, P.M.C. de Oliveira, & T. J. P. Penna. (2000). Broad histogram method for multiparametric Hamiltonians. Solid State Communications. 114(8). 447–452. 7 indexed citations

10.

Zebende, Gilney Figueira, T. J. P. Penna, & Paulo Murilo Castro de Oliveira. (1998). DNA evolution and successive file editions. Physica A Statistical Mechanics and its Applications. 257(1-4). 136–140. 1 indexed citations

11.

Oliveira, P.M.C. de & T. J. P. Penna. (1997). Broad Histogram Monte Carlo. 50 indexed citations

12.

Menezes, Márcio Argollo de, et al.. (1997). Search for an unitary mortality law through a theoretical model for biological ageing. Theory in Biosciences. 117(2). 101–108. 2 indexed citations

13.

Oliveira, P.M.C. de, T. J. P. Penna, & H. J. Herrmann. (1996). Broad Histogram Method. arXiv (Cornell University). 26(4). 677–683. 63 indexed citations

14.

Penna, T. J. P.. (1995). Fitting curves by simulated annealing. Computers in Physics. 9(3). 341–343. 43 indexed citations

15.

Oliveira, S. Moss de, T. J. P. Penna, & D. Stauffer. (1995). Simulating the vanishing of northern cod fish. Physica A Statistical Mechanics and its Applications. 215(3). 298–304. 27 indexed citations

16.

Penna, T. J. P.. (1995). A bit-string model for biological aging. Journal of Statistical Physics. 78(5-6). 1629–1633. 212 indexed citations

17.

Zebende, Gilney Figueira & T. J. P. Penna. (1994). The Domany-Kinzel cellular automaton phase diagram. Journal of Statistical Physics. 74(5-6). 1273–1279. 12 indexed citations

18.

Oliveira, P.M.C. de, et al.. (1991). Cellular automata as microcanonical simulators. Journal of Physics A Mathematical and General. 24(1). 219–228. 3 indexed citations

19.

Gomes, P. R. S., T. J. P. Penna, R. Liguori Neto, et al.. (1991). Fusion of 59Co with light projectiles at near barrier energies. Nuclear Physics A. 534(2). 429–444. 20 indexed citations

20.

Penna, T. J. P. & P.M.C. de Oliveira. (1990). Fully parallel code for Monte Carlo simulation. Journal of Statistical Physics. 61(3-4). 933–941. 1 indexed citations

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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