Martin Weis

1.1k total citations
25 papers, 728 citations indexed

About

Martin Weis is a scholar working on Plant Science, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Martin Weis has authored 25 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 9 papers in Signal Processing and 5 papers in Cognitive Neuroscience. Recurrent topics in Martin Weis's work include Smart Agriculture and AI (8 papers), Blind Source Separation Techniques (7 papers) and Weed Control and Herbicide Applications (6 papers). Martin Weis is often cited by papers focused on Smart Agriculture and AI (8 papers), Blind Source Separation Techniques (7 papers) and Weed Control and Herbicide Applications (6 papers). Martin Weis collaborates with scholars based in Germany, Finland and Japan. Martin Weis's co-authors include Roland Gerhards, Dionisio Andújar, Gerassimos G. Peteinatos, Martin Haardt, Markus Sökefeld, Florian Roemer, Peter Husár, Till Rumpf, Christoph Römer and Lutz Plümer and has published in prestigious journals such as Sensors, Environmental Science and Pollution Research and Computers and Electronics in Agriculture.

In The Last Decade

Martin Weis

22 papers receiving 692 citations

Peers

Martin Weis
Martin Weis
Citations per year, relative to Martin Weis Martin Weis (= 1×) peers Zhibo Chen

Countries citing papers authored by Martin Weis

Since Specialization
Citations

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

Fields of papers citing papers by Martin Weis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Weis

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

All Works

20 of 20 papers shown
1.
Geipel, Jakob, et al.. (2015). A Sensor Web-Enabled Infrastructure for Precision Farming. ISPRS International Journal of Geo-Information. 4(1). 385–399. 16 indexed citations
2.
Kautz, Thomas, et al.. (2013). Neuronal cell spike sorting using signal features extracted by PARAFAC. 16. 472–475.
3.
Kaivosoja, Jere, et al.. (2013). Automatic control of farming operations based on spatial web services. Computers and Electronics in Agriculture. 100. 110–115. 20 indexed citations
4.
Rueda-Ayala, Víctor, Martin Weis, Martina Keller, Dionisio Andújar, & Roland Gerhards. (2013). Development and Testing of a Decision Making Based Method to Adjust Automatically the Harrowing Intensity. Sensors. 13(5). 6254–6271. 12 indexed citations
5.
6.
Peteinatos, Gerassimos G., et al.. (2013). Potential use of ground‐based sensor technologies for weed detection. Pest Management Science. 70(2). 190–199. 97 indexed citations
7.
Andújar, Dionisio, Martin Weis, & Roland Gerhards. (2012). An Ultrasonic System for Weed Detection in Cereal Crops. Sensors. 12(12). 17343–17357. 56 indexed citations
8.
Husár, Peter, et al.. (2012). Dual-Symmetric Parallel Factor Analysis Using Procrustes Estimation And Khatri-Rao Factorization. INFM-OAR (INFN Catania). 270–274. 3 indexed citations
9.
Menegat, Alexander, et al.. (2011). Introduction of a non destructive method for the investigation of herbicide efficacy in greenhouse bioassays based on image analysis.. JOURNAL OF WEED SCIENCE RESEARCH. 18. 203–209.
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.
Weis, Martin, et al.. (2010). Temporally resolved multi-way component analysis of dynamic sources in event-related EEG data using parafac2. European Signal Processing Conference. 696–700. 10 indexed citations
13.
Weis, Martin, et al.. (2010). Multi-dimensional PARAFAC2 component analysis of multi-channel EEG data including temporal tracking. PubMed. 2010. 5375–8. 7 indexed citations
14.
Reuter, Hauke, Ulrike Middelhoff, Frieder Graef, et al.. (2010). Information system for monitoring environmental impacts of genetically modified organisms. Environmental Science and Pollution Research. 17(8). 1479–1490. 13 indexed citations
15.
Weis, Martin. (2010). An image analysis and classification system for automatic weed species identification in different crops for precision weed management. University writing server of the University of Hohenheim (Universität Hohenheim). 2 indexed citations
17.
Roemer, Florian, Hanna Becker, Martin Haardt, & Martin Weis. (2009). Analytical performance evaluation for HOSVD-based parameter estimation schemes. 77–80. 19 indexed citations
18.
Weis, Martin, et al.. (2008). Precision farming for weed management: techniques. Gesunde Pflanzen. 60(4). 171–181. 62 indexed citations
19.
Weis, Martin, et al.. (2008). An on-farm approach to quantify yield variation and to derive decision rules for site-specific weed management. Precision Agriculture. 9(3). 133–146. 29 indexed citations
20.
Weis, Martin, et al.. (2003). AUTOMATIC QUALITY SURVEILLANCE OF GIS DATA WITH GEOAIDA. 4 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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