Leon Schumacher

1.6k total citations · 1 hit paper
67 papers, 1.2k citations indexed

About

Leon Schumacher is a scholar working on Biomedical Engineering, Materials Chemistry and Fluid Flow and Transfer Processes. According to data from OpenAlex, Leon Schumacher has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 18 papers in Materials Chemistry and 14 papers in Fluid Flow and Transfer Processes. Recurrent topics in Leon Schumacher's work include Biodiesel Production and Applications (23 papers), Catalytic Processes in Materials Science (16 papers) and Advanced Combustion Engine Technologies (14 papers). Leon Schumacher is often cited by papers focused on Biodiesel Production and Applications (23 papers), Catalytic Processes in Materials Science (16 papers) and Advanced Combustion Engine Technologies (14 papers). Leon Schumacher collaborates with scholars based in United States, Germany and Brazil. Leon Schumacher's co-authors include Christian Heß, S. C. Borgelt, Galen J. Suppes, Chuang‐Wei Chiu, Steven Howell, Sreekala G. Bajwa, Marc Ziemba, Xin Sun, Yu Zhang and Nitin Rai and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Leon Schumacher

63 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Applications of deep learning in precision weed management: A review

2023 128 citations Nitin Rai, Yu Zhang et al. Computers and Electronics in Agriculture profile →

Peers

Leon Schumacher

BE

FFTP

ME

MC

PS

S.L. Soni India

Anne Bjerre Denmark

Digambar Singh India

Pushpendra Kumar Sharma India

A. Murugesan India

Roberta J. Nichols United States

Asep Kadarohman Indonesia

Alejandro Posadillo Spain

Núria Sánchez Spain

Francesco Zimbardi Italy

S.L. Soni India

Leon Schumacher

1.6k ×2.3

BE

762 ×1.5

FFTP

789 ×2.9

ME

258 ×1.2

MC

31 ×0.2

PS

Citations per year, relative to Leon Schumacher Leon Schumacher (= 1×) peers S.L. Soni

Countries citing papers authored by Leon Schumacher

Since Specialization

Citations

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

Fields of papers citing papers by Leon Schumacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leon Schumacher

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Yu, et al.. (2024). Multi-Species Weed and Crop Classification Comparison Using Five Different Deep Learning Network Architectures. Journal of the ASABE. 67(2). 275–287. 4 indexed citations

2.

Schumacher, Leon, Marc Ziemba, & Christian Heß. (2024). Investigation of the CO₂ Activation and Regeneration of Reduced VO_x/CeO₂ Catalysts Using Multiple In Situ Spectroscopies. ChemCatChem. 16(21). 1 indexed citations

3.

Schumacher, Leon, et al.. (2024). Unraveling the mechanism of the CO ₂ -assisted oxidative dehydrogenation of propane over VO _x /CeO ₂ : an operando spectroscopic study. RSC Sustainability. 2(12). 3846–3865. 2 indexed citations

4.

Schumacher, Leon, et al.. (2023). Rational design of vanadia-based propane ODH catalysts: A multiple operando spectroscopic investigation of VOx/TiO2/CeO2. Catalysis Today. 426. 114387–114387. 5 indexed citations

5.

Schumacher, Leon, et al.. (2023). Unraveling surface and bulk dynamics of iron(III) molybdate during oxidative dehydrogenation using operando and transient spectroscopies. Communications Chemistry. 6(1). 230–230. 6 indexed citations

6.

Rai, Nitin, Yu Zhang, Billy G. Ram, et al.. (2023). Applications of deep learning in precision weed management: A review. Computers and Electronics in Agriculture. 206. 107698–107698. 128 indexed citations breakdown →

7.

Schumacher, Leon, Ulrike I. Kramm, Christian Heß, et al.. (2021). Activity, Selectivity and Initial Degradation of Iron Molybdate in the Oxidative Dehydrogenation of Ethanol. ChemCatChem. 14(4). 15 indexed citations

8.

Ziemba, Marc, Leon Schumacher, & Christian Heß. (2021). Reduction Behavior of Cubic In₂O₃ Nanoparticles by Combined Multiple In Situ Spectroscopy and DFT. The Journal of Physical Chemistry Letters. 12(15). 3749–3754. 27 indexed citations

9.

Zhou, Jing, et al.. (2018). Evaluating Geometric Measurement Accuracy Based on 3D Reconstruction of Automated Imagery in a Greenhouse. Sensors. 18(7). 2270–2270. 13 indexed citations

10.

Schumacher, Leon, et al.. (2005). FUELING DIRECT INJECTED DIESEL ENGINES WITH 2% BIODIESEL BLEND. Applied Engineering in Agriculture. 21(2). 149–152. 7 indexed citations

11.

Schumacher, Leon, et al.. (2005). ENGINE OIL ANALYSIS OF BIODIESEL-FUELED ENGINES. Applied Engineering in Agriculture. 21(2). 153–158. 4 indexed citations

12.

Schumacher, Leon, et al.. (2001). DIESEL ENGINE EXHAUST EMISSIONS EVALUATI ON OF BIODIESEL BLENDS USING A CUMMINS L10E ENGINE. Transactions of the ASAE. 44(6). 20 indexed citations

13.

Schumacher, Leon, et al.. (1997). Laboratory trials to incorporate sulphur in the vitrification of filter ashes from incineration plants and hydrolytic investigation of the melt products. TIB Repositorium. 1 indexed citations

14.

Schumacher, Leon, et al.. (1995). Project Update: Fueling 5.9L Cummins engines with 100% biodiesel. 12. 4 indexed citations

15.

Schumacher, Leon, et al.. (1994). Lubricating qualities of biodiesel and biodiesel blends. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 indexed citations

16.

Schumacher, Leon, et al.. (1993). Biodiesel on the road - a report from Missouri.. Paper - American Society of Agricultural Engineers. 3 indexed citations

17.

Schumacher, Leon & Michael Swan. (1993). Need For Formal Leadership Training For Students In A Land-Grant College Of Agriculture. Journal of Agricultural Education. 34(3). 1–9. 16 indexed citations

18.

Schumacher, Leon & Donald M. Johnson. (1990). Time Series Analysis Of Agricultural Education Student Teachers' Perceptions Of Agricultural Mechanics Lab Management Competencies. Journal of Agricultural Education. 31(4). 2–8. 8 indexed citations

19.

Schumacher, Leon. (1989). Factors Limiting the Use of "agLine" and Other Agricultural Information Databases.. 11(2). 1 indexed citations

20.

Schumacher, Leon, et al.. (1989). Tractor safety: Are farmers using OEM safety devices?. 891625. 9.

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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