Christian E. Schaerer

45 papers receiving 264 citations

Peers

Christian E. Schaerer
Comparison fields: 5 of 89
  • Numerical Analysis 40
  • Computational Theory and Mathematics 65
  • Modeling and Simulation 15
  • Computational Mechanics 43
  • Computer Vision and Pattern Recognition 33
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Christian E. Schaerer relative to Zhenbing Zeng China Zhenbing Zeng's profile →
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Citations per year

Countries citing papers authored by Christian E. Schaerer

Since Specialization
Citations

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

Fields of papers citing papers by Christian E. Schaerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian E. Schaerer. 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 Christian E. Schaerer. The network helps show where Christian E. Schaerer may publish in the future.

Co-authors

The 25 scholars most cited alongside Christian E. Schaerer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christian E. Schaerer Line = papers co-authored together Christian E. Schaerer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201934
2 201034
3 201531
4 201424
5 201313
6 200613
7 200713
8 200112
9 20239
10 20158
11 20148
12
Deep Learning-Based Dengue Cases Forecasting with Synthetic Data
20206
13 20145
14 20205
15 20155
16 20215
17 20234
18
Analysis of Contaminant Transport under Wind Conditions on the Surface of a Shallow Lake
20164
19
Diagnosis of multiple sclerosis from EEG signal analysis using Empirical Mode Decomposition and Support Vector Machine
20183
20 20233

About Christian E. Schaerer

Christian E. Schaerer is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Public Health, Environmental and Occupational Health, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 281 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (9 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Mosquito-borne diseases and control (6 papers), Numerical methods for differential equations (5 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Face and Expression Recognition (3 papers), Advanced Statistical Methods and Models (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Numerical Analysis (40 citations), Computational Theory and Mathematics (65 citations), Modeling and Simulation (15 citations), Computational Mechanics (43 citations) and Computer Vision and Pattern Recognition (33 citations). Christian E. Schaerer has collaborated with scholars based in Paraguay, Brazil and Spain. Frequent co-authors include Marcus Sarkis, Tarek P. Mathew, Miguel García-Torres, Federico Divina, Eugenius Kaszkurewicz, Dora B. Krimer, Horacio Legal-Ayala, Pablo Hernández, José Luis Vázquez Noguera and María José Fernández-Nestosa. Their work appears in journals such as Numerical Linear Algebra with Applications, International Journal of Systems Science, Applied Mathematics and Computation, Journal of Biomolecular Structure and Dynamics and HIV Medicine.

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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