L.A.P. Lotz

3.3k total citations
97 papers, 2.4k citations indexed

About

L.A.P. Lotz is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, L.A.P. Lotz has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Plant Science, 22 papers in Agronomy and Crop Science and 15 papers in Molecular Biology. Recurrent topics in L.A.P. Lotz's work include Weed Control and Herbicide Applications (31 papers), Genetically Modified Organisms Research (18 papers) and Agronomic Practices and Intercropping Systems (17 papers). L.A.P. Lotz is often cited by papers focused on Weed Control and Herbicide Applications (31 papers), Genetically Modified Organisms Research (18 papers) and Agronomic Practices and Intercropping Systems (17 papers). L.A.P. Lotz collaborates with scholars based in Netherlands, United States and Philippines. L.A.P. Lotz's co-authors include M.J. Kropff, C.C.M. van de Wiel, M.J.M. Smulders, G.J.T. Kessel, Ronald C. B. Hutten, P.M. Boonekamp, A. J. Haverkort, Richard G. F. Visser, E. Jacobsen and Jan G. Schaart and has published in prestigious journals such as Environmental Pollution, Trends in Plant Science and Journal of Ecology.

In The Last Decade

L.A.P. Lotz

92 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.A.P. Lotz Netherlands 27 2.0k 507 438 217 193 97 2.4k
Patrick F. Byrne United States 32 3.1k 1.5× 614 1.2× 733 1.7× 144 0.7× 162 0.8× 93 3.7k
Roland Vencovsky Brazil 27 2.1k 1.1× 306 0.6× 471 1.1× 526 2.4× 154 0.8× 157 2.9k
J. G. Hampton New Zealand 22 1.5k 0.7× 454 0.9× 289 0.7× 269 1.2× 133 0.7× 198 1.9k
R. Stauß Germany 10 1.8k 0.9× 439 0.9× 450 1.0× 270 1.2× 228 1.2× 15 2.2k
Rong‐Cai Yang Canada 29 2.0k 1.0× 512 1.0× 400 0.9× 221 1.0× 194 1.0× 123 2.7k
T. S. Cox United States 31 3.5k 1.8× 1.0k 2.0× 486 1.1× 213 1.0× 146 0.8× 117 4.1k
Maurizio Sattin Italy 28 2.2k 1.1× 534 1.1× 606 1.4× 272 1.3× 503 2.6× 75 2.6k
R. I. Hamilton Canada 33 2.9k 1.4× 653 1.3× 655 1.5× 222 1.0× 260 1.3× 128 3.6k
Christian Andreasen Denmark 23 1.6k 0.8× 371 0.7× 220 0.5× 358 1.6× 163 0.8× 113 2.1k
T. van den Boom Germany 7 1.6k 0.8× 415 0.8× 381 0.9× 233 1.1× 202 1.0× 10 2.0k

Countries citing papers authored by L.A.P. Lotz

Since Specialization
Citations

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

Fields of papers citing papers by L.A.P. Lotz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A.P. Lotz. 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 L.A.P. Lotz. The network helps show where L.A.P. Lotz may publish in the future.

Co-authorship network of co-authors of L.A.P. Lotz

This figure shows the co-authorship network connecting the top 25 collaborators of L.A.P. Lotz. A scholar is included among the top collaborators of L.A.P. Lotz 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 L.A.P. Lotz. L.A.P. Lotz 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.
Wiel, C.C.M. van de, et al.. (2024). Consumer transparency in the production chain for plant varieties produced using new genomic techniques. aBIOTECH. 5(2). 239–246. 3 indexed citations
2.
Smulders, M.J.M., C.C.M. van de Wiel, & L.A.P. Lotz. (2021). The Use of Intellectual Property Systems in Plant Breeding for Ensuring Deployment of Good Agricultural Practices. Agronomy. 11(6). 1163–1163. 11 indexed citations
3.
Lotz, L.A.P., C.C.M. van de Wiel, & M.J.M. Smulders. (2020). Genetic engineering at the heart of agroecology. Outlook on Agriculture. 49(1). 21–28. 23 indexed citations
4.
Haverkort, A.J., P.M. Boonekamp, Ronald C. B. Hutten, et al.. (2016). Durable Late Blight Resistance in Potato Through Dynamic Varieties Obtained by Cisgenesis. Potato Research. 35–66. 1 indexed citations
5.
Schaminée, J.H.J., et al.. (2015). SPECIAL ISSUE: The Role of Below-Ground Processes in Mediating Plant Invasions Local dominance of exotic plants declines with residence time: a role for plant-soil feedback?. AoB Plants. 7. 2 indexed citations
6.
Schaart, Jan G., C.C.M. van de Wiel, L.A.P. Lotz, & M.J.M. Smulders. (2015). Opportunities for Products of New Plant Breeding Techniques. Trends in Plant Science. 21(5). 438–449. 165 indexed citations
7.
Mashingaidze, A. B., et al.. (2012). LEAF STRIPPING AND DETASSELLING INCREASE EAR GROWTH RATE AND MAIZE GRAIN YIELD. 3 indexed citations
8.
Mashingaidze, A. B., et al.. (2012). THE INFLUENCE OF FERTILIZER PLACEMENT ON MAIZE YIELD AND GROWTH OF WEEDS. 1 indexed citations
9.
Burg, W.J. van der, et al.. (2012). Naturalised and invasive alien plant species in the Caribbean Netherlands: status, distribution, threats, priorities and recommendations : report of a joint Imares/Carmabi/PRI project financed by the Dutch Ministry of Economic Affairs, Agriculture & Innovation. Socio-Environmental Systems Modeling. 4 indexed citations
10.
Lotz, L.A.P., et al.. (2011). Factors relating to regional and local success of exotic plant species in their new range. Diversity and Distributions. 17(3). 542–551. 30 indexed citations
11.
Overbeek, Leonard S. van, A.C. Franke, E.H. Nijhuis, et al.. (2011). Bacterial Communities Associated with Chenopodium album and Stellaria media Seeds from Arable Soils. Microbial Ecology. 62(2). 257–264. 28 indexed citations
12.
Manley, Marena, et al.. (2009). Evaluation of near infrared spectra for the prediction of post harvest quality in canning peaches. South African Journal of Plant and Soil. 26(3). 133–140. 2 indexed citations
13.
Weide, R.Y. van der, et al.. (2008). Innovation in mechanical weed control in crop rows. Weed Research. 48(3). 215–224. 170 indexed citations
14.
Boonekamp, P.M., et al.. (2007). Het waarom en hoe van DuRPh: duurzame resistentie tegen Phytophthora in aardappel door cisgene merkervrije modificatie. Socio-Environmental Systems Modeling. 38(5). 238–241. 1 indexed citations
15.
Wiel, C.C.M. van de & L.A.P. Lotz. (2006). Outcrossing and coexistence of genetically modified with (genetically) unmodified crops: a case study of the situation in the Netherlands. NJAS - Wageningen Journal of Life Sciences. 54(1). 17–35. 22 indexed citations
16.
Lotz, L.A.P., et al.. (2006). The importance of tillage depth in relation to seedling emergence in stale seedbeds. Ecological Modelling. 201(3-4). 536–546. 11 indexed citations
17.
Lotz, L.A.P., et al.. (2000). Onkruidbeheersing als knelpunt biologische landbouw. Socio-Environmental Systems Modeling. 31(6). 157–160. 1 indexed citations
18.
Lotz, L.A.P., R.M.W. Groeneveld, & C. Kempenaar. (2000). Weed control as bottleneck in organic farming.. 31(6). 157–160. 1 indexed citations
19.
Lotz, L.A.P., et al.. (2000). Towards a more sustainable weed management in the Netherlands: policy and challenges for weed research. Socio-Environmental Systems Modeling. 65. 7–15. 2 indexed citations
20.
Lotz, L.A.P., Jacco Wallinga, & M.J. Kropff. (1995). Crop-weed interactions: quantification and prediction.. Socio-Environmental Systems Modeling. 9 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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