Helmut Meiss

411 total citations
9 papers, 272 citations indexed

About

Helmut Meiss is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Helmut Meiss has authored 9 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Nature and Landscape Conservation. Recurrent topics in Helmut Meiss's work include Weed Control and Herbicide Applications (5 papers), Plant and animal studies (4 papers) and Agronomic Practices and Intercropping Systems (3 papers). Helmut Meiss is often cited by papers focused on Weed Control and Herbicide Applications (5 papers), Plant and animal studies (4 papers) and Agronomic Practices and Intercropping Systems (3 papers). Helmut Meiss collaborates with scholars based in France, Germany and Slovakia. Helmut Meiss's co-authors include Nicolas Munier‐Jolain, Rainer Waldhardt, Vincent Bretagnolle, Sandrine Petit, Sabrina Gaba, Jacques Caneill, Safia Médiène, Luca Börger, Laura Henckel and Xavier Reboud and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Animal Ecology and Agriculture Ecosystems & Environment.

In The Last Decade

Helmut Meiss

8 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helmut Meiss France 7 173 116 104 75 62 9 272
Linda Marín United States 9 114 0.7× 129 1.1× 64 0.6× 60 0.8× 76 1.2× 12 296
Rémi Perronne France 11 274 1.6× 173 1.5× 181 1.7× 93 1.2× 32 0.5× 25 405
Laura José‐María Spain 10 269 1.6× 184 1.6× 180 1.7× 95 1.3× 59 1.0× 13 399
Fredric W. Pollnac United States 12 157 0.9× 100 0.9× 157 1.5× 82 1.1× 43 0.7× 14 330
Eva Hernández Plaza Spain 9 218 1.3× 94 0.8× 82 0.8× 109 1.5× 43 0.7× 18 310
Šárka Cimalová Czechia 7 357 2.1× 239 2.1× 226 2.2× 48 0.6× 52 0.8× 9 455
Laura Breitsameter Germany 6 183 1.1× 79 0.7× 44 0.4× 75 1.0× 18 0.3× 14 294
Sylvie Granger France 13 322 1.9× 91 0.8× 87 0.8× 167 2.2× 33 0.5× 21 407
Heikki Jalli Finland 9 318 1.8× 112 1.0× 81 0.8× 154 2.1× 62 1.0× 23 419
Laura Sánchez‐Jardón Spain 9 139 0.8× 73 0.6× 104 1.0× 61 0.8× 21 0.3× 18 279

Countries citing papers authored by Helmut Meiss

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Meiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helmut Meiss

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

All Works

9 of 9 papers shown
1.
Bommarco, Riccardo, et al.. (2024). From a local descriptive to a generic predictive model of cereal aphid regulation by predators. Journal of Animal Ecology. 93(7). 943–957.
2.
Meiss, Helmut, et al.. (2022). Predicting the abundances of aphids and their natural enemies in cereal crops: Machine-learning versus linear models. Biological Control. 169. 104866–104866. 6 indexed citations
3.
Meiss, Helmut, et al.. (2022). Towards Predictions of Interaction Dynamics between Cereal Aphids and Their Natural Enemies: A Review. Insects. 13(5). 479–479. 7 indexed citations
4.
Petit, Sandrine, et al.. (2016). Landscape scale management affects weed richness but not weed abundance in winter wheat fields. Agriculture Ecosystems & Environment. 223. 41–47. 38 indexed citations
5.
Henckel, Laura, Luca Börger, Helmut Meiss, Sabrina Gaba, & Vincent Bretagnolle. (2015). Organic fields sustain weed metacommunity dynamics in farmland landscapes. Proceedings of the Royal Society B Biological Sciences. 282(1808). 20150002–20150002. 53 indexed citations
6.
Meiss, Helmut, et al.. (2010). Weed seed predation increases with vegetation cover in perennial forage crops. Agriculture Ecosystems & Environment. 138(1-2). 10–16. 76 indexed citations
7.
Meiss, Helmut, Safia Médiène, Rainer Waldhardt, et al.. (2010). Perennial lucerne affects weed community trajectories in grain crop rotations. Weed Research. 50(4). 331–340. 46 indexed citations
8.
Meiss, Helmut, Safia Médiène, Rainer Waldhardt, Jacques Caneill, & Nicolas Munier‐Jolain. (2010). Contrasting weed species composition in perennial alfalfas and six annual crops: implications for integrated weed management. Agronomy for Sustainable Development. 30(3). 657–666. 44 indexed citations
9.
Meiss, Helmut, et al.. (2009). Cutting and competition reduce weed growth: additive or interactive effects?. 28–37. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026