Pedro G. Lind

2.3k total citations
104 papers, 1.6k citations indexed

About

Pedro G. Lind is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Pedro G. Lind has authored 104 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistical and Nonlinear Physics, 15 papers in Computer Networks and Communications and 13 papers in Cognitive Neuroscience. Recurrent topics in Pedro G. Lind's work include Nonlinear Dynamics and Pattern Formation (14 papers), Complex Systems and Time Series Analysis (13 papers) and Complex Network Analysis Techniques (12 papers). Pedro G. Lind is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (14 papers), Complex Systems and Time Series Analysis (13 papers) and Complex Network Analysis Techniques (12 papers). Pedro G. Lind collaborates with scholars based in Germany, Portugal and Norway. Pedro G. Lind's co-authors include Hans J. Herrmann, Marta C. González, Jason A. C. Gallas, Frank Raischel, Ana Russo, Joachim Peinke, José S. Andrade, L. R. da Silva, João Corte‐Real and Matthias Wächter and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Pedro G. Lind

99 papers receiving 1.5k citations

Peers

Pedro G. Lind

SNP

CNC

EEE

Paulino Ribeiro Villas-Boas Brazil

Laura Smith United Kingdom

Jobst Heitzig Germany

Giuliano Andrea Pagani Netherlands

Katsuhiro Nishinari Japan

Valeria V. Krzhizhanovskaya Netherlands

Yanqing Hu China

Jingfang Fan China

Nicolas Le Roux France

Paulino Ribeiro Villas-Boas Brazil

Pedro G. Lind

1.1k ×2.0

SNP

289 ×1.1

CNC

121 ×0.5

71 ×0.4

EEE

392 ×2.8

Citations per year, relative to Pedro G. Lind Pedro G. Lind (= 1×) peers Paulino Ribeiro Villas-Boas

Countries citing papers authored by Pedro G. Lind

Since Specialization

Citations

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

Fields of papers citing papers by Pedro G. Lind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro G. Lind. 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 Pedro G. Lind. The network helps show where Pedro G. Lind may publish in the future.

Co-authorship network of co-authors of Pedro G. Lind

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro G. Lind. A scholar is included among the top collaborators of Pedro G. Lind 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 Pedro G. Lind. Pedro G. Lind 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

Belhadi, Asma, et al.. (2025). EEG Data Classification: Review and Taxonomy. 6(4). 1–29.

Lind, Pedro G., et al.. (2025). Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare. 6(3). 1–32. 4 indexed citations

Haugerud, Hårek, et al.. (2024). Exploring Interpretable AI Methods for ECG Data Classification. 11–18. 2 indexed citations

Yazidi, Anis, et al.. (2024). Modeling Wind-Speed Statistics beyond the Weibull Distribution. Energies. 17(11). 2621–2621. 4 indexed citations

Gorjão, Leonardo Rydin, Dirk Witthaut, & Pedro G. Lind. (2023). jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets. Journal of Statistical Software. 105(4). 3 indexed citations

Lind, Pedro G., et al.. (2023). Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. Complex Systems. 32(3). 309–351. 1 indexed citations

Gorjão, Leonardo Rydin, et al.. (2023). Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?. Physica D Nonlinear Phenomena. 453. 133831–133831. 5 indexed citations

Lind, Pedro G., et al.. (2023). Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach. Sensors. 23(8). 3877–3877. 2 indexed citations

Kumarasamy, Suresh, et al.. (2023). Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey. Energies. 16(14). 5383–5383. 18 indexed citations

10.

Lind, Pedro G., et al.. (2022). Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems. 256. 109860–109860. 9 indexed citations

11.

Wächter, Matthias, et al.. (2020). Disentangling stochastic signals superposed on short localized oscillations. Physics Letters A. 384(15). 126307–126307. 4 indexed citations

12.

Queirós, Sı́lvio M. Duarte, Pedro G. Lind, Alain Girard, et al.. (2020). Small scale structures of turbulence in terms of entropy and fluctuation theorems. Physical Review Fluids. 5(3). 8 indexed citations

13.

Lind, Pedro G., et al.. (2019). Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(10). 103149–103149. 20 indexed citations

14.

Gülker, Gerd, et al.. (2018). Aerodynamics and percolation: unfolding laminar separation bubble on Airfoils. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 5 indexed citations

15.

Maass, Philipp, et al.. (2018). Wind Speed Modeling by Nested ARIMA Processes. Energies. 12(1). 69–69. 44 indexed citations

16.

Lind, Pedro G., et al.. (2018). Modeling specific action potentials in the human atria based on a minimal single-cell model. PLoS ONE. 13(1). e0190448–e0190448. 2 indexed citations

17.

Lind, Pedro G., et al.. (2017). Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach. Energies. 10(12). 1944–1944. 39 indexed citations

18.

Rocha, Paulo, et al.. (2017). Stochastic modelling of non-stationary financial assets. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(11). 113106–113106. 1 indexed citations

19.

Ribeiro, André S. & Pedro G. Lind. (2005). Effects of Lattice Structure in the Dynamics of Coupled Elements. Physica Scripta. 2005(T118). 165–167. 3 indexed citations

20.

Gardner, Wilford D., et al.. (1986). Efficacy of an amino resin fire retardant. Forest Products Journal. 36. 9–15. 7 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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