Christoph Römer

1.0k total citations
18 papers, 728 citations indexed

About

Christoph Römer is a scholar working on Plant Science, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Christoph Römer has authored 18 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Artificial Intelligence and 6 papers in Analytical Chemistry. Recurrent topics in Christoph Römer's work include Spectroscopy and Chemometric Analyses (6 papers), Multi-Criteria Decision Making (5 papers) and Smart Agriculture and AI (5 papers). Christoph Römer is often cited by papers focused on Spectroscopy and Chemometric Analyses (6 papers), Multi-Criteria Decision Making (5 papers) and Smart Agriculture and AI (5 papers). Christoph Römer collaborates with scholars based in Germany, United States and Austria. Christoph Römer's co-authors include Lutz Plümer, Till Rumpf, Jan Behmann, Anne‐Katrin Mahlein, A. Kandel, Agim Ballvora, Uwe Rascher, Jens Léon, Georg Noga and Kathrin Bürling and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Christoph Römer

18 papers receiving 702 citations

Peers

Countries citing papers authored by Christoph Römer

Since Specialization

Citations

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

Fields of papers citing papers by Christoph Römer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Römer

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

All Works

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18 of 18 papers shown

#	Title	Journal	Authors	Indexed citations
1	Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images	Proceedings of the AAAI Conference on Artificial Intelligence	Kristian Kersting, Zhao Xu et al.	8
2	Unsupervised domain adaptation for early detection of drought stress in hyperspectral images	ISPRS Journal of Photogrammetry and Remote Sensing	Petra Schmitter, Christoph Römer et al.	25
3	Landcover classification with self-taught learning on archetypal dictionaries		Ribana Roscher, Christoph Römer et al.	4
4	Quantifying moisture and roughness with Support Vector Machines improves spectroscopic soil organic carbon prediction	Journal of Plant Nutrition and Soil Science	Christoph Römer, Andrei Rodionov et al.	4
5	A review of advanced machine learning methods for the detection of biotic stress in precision crop protection	Precision Agriculture	Jan Behmann, Anne‐Katrin Mahlein et al.	238
6	Electronic detection of lameness in dairy cows through measuring pedometric activity and lying behavior	Applied Animal Behaviour Science	Maher Alsaaod, Christoph Römer et al.	66
7	Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis	Functional Plant Biology	Christoph Römer, Mirwaes Wahabzada et al.	119
8	Simplex Distributions for Embedding Data Matrices over Time		Kristian Kersting, Mirwaes Wahabzada et al.	11
9	Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with Support Vector Machines	Computers and Electronics in Agriculture	Christoph Römer, Kathrin Bürling et al.	72
10	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	Till Rumpf, Christoph Römer et al.	57
11	Automatic classification of building types in 3D city models	GeoInformatica	Christoph Römer, Gerhard Gröger et al.	46
12	Optimalwavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data		Till Rumpf, Christoph Römer et al.	1
13	Identifying Architectural Style in 3D City Models with Support Vector Machines	Photogrammetrie - Fernerkundung - Geoinformation	Christoph Römer, Lutz Plümer	16
14	On fuzzy random variables		Christoph Römer, A. Kandel et al.	3
15	Fuzzy partitions of the sample space and fuzzy parameter hypotheses	IEEE Transactions on Systems Man and Cybernetics	Christoph Römer, Abraham Kandel et al.	5
16	Statistical tests for fuzzy data	Fuzzy Sets and Systems	Christoph Römer, Abraham Kandel	18
17	Constraints on belief functions imposed by fuzzy random variables	IEEE Transactions on Systems Man and Cybernetics	Christoph Römer, A. Kandel	18
18	Applicability analysis of fuzzy inference by means of generalized Dempster-Shafer theory	IEEE Transactions on Fuzzy Systems	Christoph Römer, A. Kandel	17

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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