Julio Cesar Monica

409 total citations
2 papers, 209 citations indexed

About

Julio Cesar Monica is a scholar working on Artificial Intelligence, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Julio Cesar Monica has authored 2 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Modeling and Simulation and 1 paper in Infectious Diseases. Recurrent topics in Julio Cesar Monica's work include Anomaly Detection Techniques and Applications (2 papers), COVID-19 epidemiological studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Julio Cesar Monica is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), COVID-19 epidemiological studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Julio Cesar Monica collaborates with scholars based in Mexico. Julio Cesar Monica's co-authors include Patricia Melín, Daniela Sánchez and Oscar Castillo and has published in prestigious journals such as Chaos Solitons & Fractals and Healthcare.

In The Last Decade

Julio Cesar Monica

2 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julio Cesar Monica Mexico 2 102 82 71 43 36 2 209
Ferdinánd Filip Slovakia 4 116 1.1× 116 1.4× 136 1.9× 67 1.6× 42 1.2× 15 340
Jiayang Li China 6 124 1.2× 88 1.1× 78 1.1× 60 1.4× 21 0.6× 12 297
Zohair Malki Saudi Arabia 5 152 1.5× 103 1.3× 103 1.5× 79 1.8× 26 0.7× 11 331
Pranav Dass India 7 107 1.0× 72 0.9× 73 1.0× 70 1.6× 17 0.5× 19 282
Yuting Chi China 5 100 1.0× 114 1.4× 158 2.2× 18 0.4× 9 0.3× 7 294
Byung-Won On South Korea 4 148 1.5× 189 2.3× 195 2.7× 51 1.2× 61 1.7× 7 391
Sourabh Shastri India 8 113 1.1× 175 2.1× 192 2.7× 23 0.5× 36 1.0× 19 366
Sachin Kumar India 7 110 1.1× 169 2.1× 190 2.7× 21 0.5× 26 0.7× 23 331
R. Rathipriya India 8 63 0.6× 120 1.5× 70 1.0× 26 0.6× 32 0.9× 39 270
Jiaxuan Zhang China 5 107 1.0× 40 0.5× 56 0.8× 47 1.1× 6 0.2× 18 209

Countries citing papers authored by Julio Cesar Monica

Since Specialization
Citations

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

Fields of papers citing papers by Julio Cesar Monica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julio Cesar Monica. 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 Julio Cesar Monica. The network helps show where Julio Cesar Monica may publish in the future.

Co-authorship network of co-authors of Julio Cesar Monica

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

All Works

2 of 2 papers shown
1.
Melín, Patricia, Julio Cesar Monica, Daniela Sánchez, & Oscar Castillo. (2020). Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico. Healthcare. 8(2). 181–181. 116 indexed citations
2.
Melín, Patricia, Julio Cesar Monica, Daniela Sánchez, & Oscar Castillo. (2020). Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps. Chaos Solitons & Fractals. 138. 109917–109917. 93 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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