Markus Sökefeld

673 total citations
23 papers, 419 citations indexed

About

Markus Sökefeld is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Markus Sökefeld has authored 23 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 6 papers in Agronomy and Crop Science and 3 papers in Molecular Biology. Recurrent topics in Markus Sökefeld's work include Weed Control and Herbicide Applications (13 papers), Agronomic Practices and Intercropping Systems (5 papers) and Smart Agriculture and AI (4 papers). Markus Sökefeld is often cited by papers focused on Weed Control and Herbicide Applications (13 papers), Agronomic Practices and Intercropping Systems (5 papers) and Smart Agriculture and AI (4 papers). Markus Sökefeld collaborates with scholars based in Germany, United States and Norway. Markus Sökefeld's co-authors include Roland Gerhards, Gerassimos G. Peteinatos, W. Kühbauch, Martin Weis, Till Rumpf, Christoph Römer, Lutz Plümer, David A. Mortensen, Jens Möhring and Martin Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Pest Management Science.

In The Last Decade

Markus Sökefeld

19 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Sökefeld Germany	13	375	75	72	37	28	23	419
Therese W. Berge Norway	10	320 0.9×	91 1.2×	31 0.4×	30 0.8×	15 0.5×	21	425
T. Heisel Denmark	10	255 0.7×	50 0.7×	50 0.7×	14 0.4×	17 0.6×	14	301
Ran Nisim Lati Israel	13	394 1.1×	174 2.3×	50 0.7×	38 1.0×	35 1.3×	49	513
Pavel Hamouz Czechia	10	322 0.9×	59 0.8×	38 0.5×	20 0.5×	70 2.5×	24	392
J. Netland Norway	12	440 1.2×	55 0.7×	187 2.6×	17 0.5×	35 1.3×	41	581
M. Saavedra Spain	12	228 0.6×	52 0.7×	105 1.5×	15 0.4×	31 1.1×	27	371
Matthew Cutulle United States	12	292 0.8×	39 0.5×	27 0.4×	14 0.4×	48 1.7×	44	362
M. R. Gebhardt United States	11	346 0.9×	69 0.9×	119 1.7×	44 1.2×	49 1.8×	28	484
Víctor Rueda-Ayala Germany	13	330 0.9×	125 1.7×	132 1.8×	16 0.4×	9 0.3×	26	467
Tami L. Stubbs United States	9	175 0.5×	52 0.7×	80 1.1×	32 0.9×	20 0.7×	14	301

Countries citing papers authored by Markus Sökefeld

Since Specialization

Citations

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

Fields of papers citing papers by Markus Sökefeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Sökefeld

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

All Works

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20 of 20 papers shown

Schumacher, Matthias, Markus Sökefeld, Dionisio Andújar, et al.. (2025). A comparative applied analysis of six robotic-assisted weeding systems in sugar beets. Plant Soil and Environment. 71(11). 782–792.

Sökefeld, Markus, et al.. (2023). Smart sprayer a technology for site-specific herbicide application. Crop Protection. 177. 106564–106564. 19 indexed citations

Peteinatos, Gerassimos G., et al.. (2021). Sensor-Based Intrarow Mechanical Weed Control in Sugar Beets with Motorized Finger Weeders. Agronomy. 11(8). 1517–1517. 28 indexed citations

Peteinatos, Gerassimos G., et al.. (2018). Multi-Temporal Site-Specific Weed Control of Cirsium arvense (L.) Scop. and Rumex crispus L. in Maize and Sugar Beet Using Unmanned Aerial Vehicle Based Mapping. Agriculture. 8(5). 65–65. 39 indexed citations

Sökefeld, Markus, et al.. (2017). Weed suppression and early sugar beet development under different cover crop mulches. Plant Protection Science. 53(3). 187–193. 13 indexed citations

Peteinatos, Gerassimos G., et al.. (2017). Camera steered mechanical weed control in sugar beet, maize and soybean. Precision Agriculture. 19(4). 708–720. 59 indexed citations

Gerhards, Roland, et al.. (2016). Robotic intra-row weed hoeing in maize and sugar beet. SHILAP Revista de lepidopterología. 462–462. 1 indexed citations

Sökefeld, Markus & Roland Gerhards. (2015). Automatische Unkrautkartierung mit digitaler Bildverarbeitung. Kuratorium für Technik und Bauwesen in der Landwirtschaft e. V. (KTBL). 59(3). 154–155. 3 indexed citations

Sökefeld, Markus, et al.. (2012). Evaluation of two patch spraying systems in winter wheat and maize. Weed Research. 52(6). 510–519. 33 indexed citations

10.

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

11.

Gerhards, Roland, Martin Weis, Michael A. Keller, et al.. (2011). Using precision farming technology to quantify yield effects attributed to weed competition and herbicide application. Weed Research. 52(1). 6–15. 26 indexed citations

12.

Sökefeld, Markus, et al.. (2006). Untersuchung der Verzögerungszeiten von Direkteinspeisungssystemen für die teilflächenspezifische Applikation von Herbiziden. 12(1). 1 indexed citations

13.

Sökefeld, Markus, et al.. (2005). Entwicklung einer Versuchseinrichtung zur Untersuchung der Verzögerungszeiten von Direkteinspeisungssystemen für die teilflächenspezifische Applikation von Herbiziden. 11(5). 2 indexed citations

14.

Gerhards, Roland, et al.. (2002). Site-Specific Weed Control in Maize, Sugar Beet, Winter Wheat, and Winter Barley. Precision Agriculture. 3(1). 25–35. 24 indexed citations

15.

Sökefeld, Markus, et al.. (2000). Site-specific weed control - from weed recording to herbicide application.. 227–233. 10 indexed citations

16.

Gerhards, Roland, et al.. (2000). Precision weed control - more than just saving herbicides.. 179–186. 6 indexed citations

17.

Gerhards, Roland, et al.. (1999). Results of a four-year study on site-specific herbicide application.. 689–697. 6 indexed citations

18.

Gerhards, Roland, et al.. (1997). Site Specific Weed Control in Winter Wheat. Journal of Agronomy and Crop Science. 178(4). 219–225. 33 indexed citations

19.

Gerhards, Roland, et al.. (1996). Kartierung und geostatistische Analyse der Unkrautverteilung in Zuckerrübenschlägen als Grundlage für eine teilschlagspezifische Bekämpfung. Journal of Agronomy and Crop Science. 176(4). 259–266. 9 indexed citations

20.

Gerhards, Roland, et al.. (1993). Automatische Erkennung von zehn Unkrautarten mit Hilfe digitaler Bildverarbeitung und Fouriertransformation. Journal of Agronomy and Crop Science. 171(5). 321–328. 12 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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