E. Schmitz

4.8k total citations
3 papers, 8 citations indexed

About

E. Schmitz is a scholar working on Molecular Biology, Neurology and Environmental Engineering. According to data from OpenAlex, E. Schmitz has authored 3 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Neurology and 1 paper in Environmental Engineering. Recurrent topics in E. Schmitz's work include Urban Stormwater Management Solutions (1 paper), Machine Learning in Bioinformatics (1 paper) and Optical Polarization and Ellipsometry (1 paper). E. Schmitz is often cited by papers focused on Urban Stormwater Management Solutions (1 paper), Machine Learning in Bioinformatics (1 paper) and Optical Polarization and Ellipsometry (1 paper). E. Schmitz collaborates with scholars based in United States and Germany. E. Schmitz's co-authors include W. Merzkirch, Jing Wang, Yunhui Guo, Ginny Moore, Robert Pitt, Tom Jacobs and Richard Field and has published in prestigious journals such as Rheologica Acta and Biomedical Physics & Engineering Express.

In The Last Decade

E. Schmitz

3 papers receiving 8 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Schmitz United States 2 3 3 3 2 2 3 8
Deepthi Karkada United States 2 3 1.0× 5 1.7× 2 0.7× 1 0.5× 5 7
Gunjan Deshpande India 3 4 1.3× 2 0.7× 6 13
Caspar Seitz Germany 2 2 0.7× 2 0.7× 2 1.0× 2 14
Doug Rhee United States 2 5 1.7× 2 0.7× 2 11
Mutale Nyaywa Zambia 3 2 0.7× 2 0.7× 4 8
Sandra Felix Portugal 2 6 2.0× 2 0.7× 3 10
Surjit Singh India 2 2 0.7× 2 0.7× 5 5
Arnulfo Martínez Dávalos Mexico 2 3 1.0× 2 1.0× 2 4
Roxana Mihaela Barbu Romania 3 2 0.7× 2 0.7× 10 18
M. M. China 2 2 0.7× 2 0.7× 2 1.0× 1 0.5× 3 4

Countries citing papers authored by E. Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by E. Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Schmitz

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

All Works

3 of 3 papers shown
1.
Schmitz, E., Yunhui Guo, & Jing Wang. (2024). Adaptive fine-tuning based transfer learning for the identification of MGMT promoter methylation status. Biomedical Physics & Engineering Express. 10(5). 55018–55018. 4 indexed citations
2.
Jacobs, Tom, et al.. (2008). Advanced Drainage Concepts Using Green Solutions for CSO Control — The KC Approach. 1–11. 1 indexed citations
3.
Schmitz, E. & W. Merzkirch. (1983). Direct interferometric measurement of streaming birefringence. Rheologica Acta. 22(1). 75–80. 3 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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2026