César H. Comin

2.0k total citations · 1 hit paper
48 papers, 1.0k citations indexed

About

César H. Comin is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, César H. Comin has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 14 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in César H. Comin's work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers) and Bioinformatics and Genomic Networks (5 papers). César H. Comin is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers) and Bioinformatics and Genomic Networks (5 papers). César H. Comin collaborates with scholars based in Brazil, United States and Canada. César H. Comin's co-authors include Luciano da Fontoura Costa, Diego R. Amancio, Filipi N. Silva, Henrique Ferraz de Arruda, Gustavo R. Ferreira, Francisco A. Rodrigues, Xiaoyin Xu, Dalcimar Casanova, Gonzalo Travieso and Baptiste Lacoste and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

César H. Comin

45 papers receiving 985 citations

Hit Papers

Principal Component Analysis 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
César H. Comin Brazil 14 240 199 156 95 80 48 1.0k
Yuanyuan Li China 22 90 0.4× 147 0.7× 308 2.0× 14 0.1× 78 1.0× 134 1.6k
Jianlei Zhang China 28 143 0.6× 553 2.8× 80 0.5× 39 0.4× 148 1.9× 219 2.5k
Tomaž Hočevar Slovenia 4 83 0.3× 305 1.5× 268 1.7× 11 0.1× 79 1.0× 5 1.4k
A. Monaco Italy 21 52 0.2× 176 0.9× 272 1.7× 166 1.7× 56 0.7× 92 1.4k
Martı́n Gómez Ravetti Brazil 20 229 1.0× 199 1.0× 147 0.9× 26 0.3× 38 0.5× 51 1.2k
Fredrik Johansson Sweden 16 73 0.3× 146 0.7× 379 2.4× 14 0.1× 91 1.1× 59 1.2k
Zi‐Gang Huang China 22 477 2.0× 139 0.7× 121 0.8× 30 0.3× 165 2.1× 87 1.7k
N. Sarshar Iran 12 106 0.4× 45 0.2× 187 1.2× 70 0.7× 154 1.9× 29 707
Yanhui Ding China 16 73 0.3× 141 0.7× 115 0.7× 44 0.5× 61 0.8× 69 820

Countries citing papers authored by César H. Comin

Since Specialization
Citations

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

Fields of papers citing papers by César H. Comin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by César H. Comin. 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 César H. Comin. The network helps show where César H. Comin may publish in the future.

Co-authorship network of co-authors of César H. Comin

This figure shows the co-authorship network connecting the top 25 collaborators of César H. Comin. A scholar is included among the top collaborators of César H. Comin 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 César H. Comin. César H. Comin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Freitas‐Andrade, Moises, César H. Comin, Peter Van Dyken, et al.. (2023). Astroglial Hmgb1 regulates postnatal astrocyte morphogenesis and cerebrovascular maturation. Nature Communications. 14(1). 4965–4965. 14 indexed citations
2.
Tokuda, Eric K., César H. Comin, & Luciano da Fontoura Costa. (2022). Impact of the topology of urban streets on mobility optimization. Journal of Statistical Mechanics Theory and Experiment. 2022(10). 103204–103204. 1 indexed citations
3.
Arruda, Henrique Ferraz de, et al.. (2022). On the stability of citation networks. Physica A Statistical Mechanics and its Applications. 610. 128399–128399. 5 indexed citations
4.
Lacoste, Baptiste, et al.. (2022). An analysis of the influence of transfer learning when measuring the tortuosity of blood vessels. Computer Methods and Programs in Biomedicine. 225. 107021–107021. 2 indexed citations
5.
Comin, César H., et al.. (2021). Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model. Scientific Reports. 11(1). 19903–19903. 11 indexed citations
6.
Yuan, Xin, et al.. (2021). Gland context networks: A novel approach for improving prostate cancer identification. Computerized Medical Imaging and Graphics. 94. 101999–101999.
7.
Comin, César H.. (2020). Complex systems: features, similarity and connectivity. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 46 indexed citations
8.
Arruda, Henrique Ferraz de, et al.. (2020). Opinion diversity and social bubbles in adaptive Sznajd networks. Journal of Statistical Mechanics Theory and Experiment. 2020(2). 23407–23407. 12 indexed citations
9.
Arruda, Henrique Ferraz de, Filipi N. Silva, César H. Comin, Diego R. Amancio, & Luciano da Fontoura Costa. (2018). Connecting network science and information theory. Physica A Statistical Mechanics and its Applications. 515. 641–648. 10 indexed citations
10.
Comin, César H., et al.. (2017). Effects of threshold on the topology of gene co-expression networks. Molecular BioSystems. 13(10). 2024–2035. 13 indexed citations
11.
Comin, César H., et al.. (2017). Biological network border detection. Integrative Biology. 9(12). 947–955. 1 indexed citations
12.
Comin, César H., Thomas Peron, Filipi N. Silva, et al.. (2015). Thermodynamic characterization of networks using graph polynomials. Physical Review E. 92(3). 32810–32810. 19 indexed citations
13.
Arruda, Henrique Ferraz de, et al.. (2015). A framework for analyzing the relationship between gene expression and morphological, topological, and dynamical patterns in neuronal networks. Journal of Neuroscience Methods. 245. 1–14. 2 indexed citations
14.
Viana, Matheus P., Zhong Yang, César H. Comin, et al.. (2015). Automated high-content morphological analysis of muscle fiber histology. Computers in Biology and Medicine. 63. 28–35. 15 indexed citations
15.
Silva, Filipi N., César H. Comin, Thomas Peron, et al.. (2015). Concentric network symmetry. Information Sciences. 333. 61–80. 8 indexed citations
16.
Comin, César H., Xiaoyin Xu, Yaming Wang, Luciano da Fontoura Costa, & Zhong Yang. (2014). An image processing approach to analyze morphological features of microscopic images of muscle fibers. Computerized Medical Imaging and Graphics. 38(8). 803–814. 7 indexed citations
17.
Peron, Thomas, César H. Comin, Diego R. Amancio, et al.. (2014). Correlations between climate network and relief data. Nonlinear processes in geophysics. 21(6). 1127–1132. 12 indexed citations
18.
Amancio, Diego R., César H. Comin, Dalcimar Casanova, et al.. (2014). A Systematic Comparison of Supervised Classifiers. PLoS ONE. 9(4). e94137–e94137. 161 indexed citations
19.
Comin, César H. & Luciano da Fontoura Costa. (2013). Shape, connectedness and dynamics in neuronal networks. Journal of Neuroscience Methods. 220(2). 100–115. 6 indexed citations
20.
Comin, César H. & Luciano da Fontoura Costa. (2011). Identifying the starting point of a spreading process in complex networks. Physical Review E. 84(5). 56105–56105. 127 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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