Till Rumpf

2.1k total citations · 2 hit papers
7 papers, 1.5k citations indexed

About

Till Rumpf is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Till Rumpf has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Analytical Chemistry and 2 papers in Ecology. Recurrent topics in Till Rumpf's work include Spectroscopy and Chemometric Analyses (5 papers), Smart Agriculture and AI (3 papers) and Powdery Mildew Fungal Diseases (2 papers). Till Rumpf is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Smart Agriculture and AI (3 papers) and Powdery Mildew Fungal Diseases (2 papers). Till Rumpf collaborates with scholars based in Germany, China and Japan. Till Rumpf's co-authors include Lutz Plümer, Anne‐Katrin Mahlein, Erich-Christian Oerke, H. W. Dehne, Ulrike Steiner, Christoph Römer, Pascal Welke, Jan Behmann, Maurício Hunsche and Georg Noga and has published in prestigious journals such as Remote Sensing of Environment, Computers and Electronics in Agriculture and Precision Agriculture.

In The Last Decade

Till Rumpf

7 papers receiving 1.5k 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.

Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

2010 696 citations Till Rumpf, Anne‐Katrin Mahlein et al. Computers and Electronics in Agriculture profile →
Development of spectral indices for detecting and identifying plant diseases

2012 451 citations Anne‐Katrin Mahlein, Till Rumpf et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Till Rumpf Germany	6	1.2k	748	717	131	108	7	1.5k
C. Bravo Belgium	11	992 0.8×	788 1.1×	632 0.9×	141 1.1×	84 0.8×	14	1.4k
Mirwaes Wahabzada Germany	18	774 0.7×	497 0.7×	548 0.8×	131 1.0×	85 0.8×	22	1.2k
Ce Yang United States	19	987 0.8×	579 0.8×	573 0.8×	87 0.7×	177 1.6×	40	1.4k
Huiqin Ma China	22	979 0.8×	585 0.8×	714 1.0×	133 1.0×	173 1.6×	44	1.5k
Matheus Thomas Kuśka Germany	18	921 0.8×	626 0.8×	557 0.8×	183 1.4×	42 0.4×	22	1.3k
Jaafar Abdulridha United States	14	799 0.7×	372 0.5×	517 0.7×	102 0.8×	116 1.1×	20	1.0k
Gensheng Hu China	18	947 0.8×	412 0.6×	291 0.4×	96 0.7×	134 1.2×	53	1.3k
Dong Liang China	19	792 0.7×	322 0.4×	367 0.5×	62 0.5×	169 1.6×	50	1.2k
Ittai Herrmann Israel	20	907 0.8×	452 0.6×	948 1.3×	74 0.6×	285 2.6×	48	1.5k
Alastair McCartney United Kingdom	12	745 0.6×	387 0.5×	422 0.6×	158 1.2×	64 0.6×	14	1.0k

Countries citing papers authored by Till Rumpf

Since Specialization

Citations

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

Fields of papers citing papers by Till Rumpf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Till Rumpf

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

All Works

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7 of 7 papers shown

1.

Behmann, Jan, Anne‐Katrin Mahlein, Till Rumpf, Christoph Römer, & Lutz Plümer. (2014). A review of advanced machine learning methods for the detection of biotic stress in precision crop protection. Precision Agriculture. 16(3). 239–260. 238 indexed citations

2.

Mahlein, Anne‐Katrin, Till Rumpf, Pascal Welke, et al.. (2012). Development of spectral indices for detecting and identifying plant diseases. Remote Sensing of Environment. 128. 21–30. 451 indexed citations breakdown →

3.

Römer, Christoph, Kathrin Bürling, Maurício Hunsche, et al.. (2011). Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with Support Vector Machines. Computers and Electronics in Agriculture. 79(2). 180–188. 72 indexed citations

4.

Rumpf, Till, Christoph Römer, Martin Weis, et al.. (2011). Sequential support vector machine classification for small-grain weed species discrimination with special regard to Cirsium arvense and Galium aparine. Computers and Electronics in Agriculture. 80. 89–96. 57 indexed citations

5.

Rumpf, Till, Christoph Römer, Lutz Plümer, & Anne‐Katrin Mahlein. (2010). Optimalwavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data. 327–330. 1 indexed citations

6.

Rumpf, Till, Anne‐Katrin Mahlein, Ulrike Steiner, et al.. (2010). Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance. Computers and Electronics in Agriculture. 74(1). 91–99. 696 indexed citations breakdown →

7.

Rumpf, Till, et al.. (2009). Identification of combined vegetation indices for the early detection of plant diseases. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7472. 747217–747217. 8 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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