Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Multiphasic analysis of gas production kinetics for in vitro fermentation of ruminant feeds
1996426 citationsJ.C.J. Groot, E.A. Lantinga et al.profile →
Estimating soil organic carbon through loss on ignition: effects of ignition conditions and structural water loss
2015310 citationsM.J.J. Hoogsteen, E.A. Lantinga et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of E.A. Lantinga'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 E.A. Lantinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.A. Lantinga more than expected).
This network shows the impact of papers produced by E.A. Lantinga. 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 E.A. Lantinga. The network helps show where E.A. Lantinga may publish in the future.
Co-authorship network of co-authors of E.A. Lantinga
This figure shows the co-authorship network connecting the top 25 collaborators of E.A. Lantinga.
A scholar is included among the top collaborators of E.A. Lantinga 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 E.A. Lantinga. E.A. Lantinga is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Eekeren, N.J.M. van, et al.. (2015). White clover content and grassland productivity in simulated grazing systems. Socio-Environmental Systems Modeling. 484–486.1 indexed citations
Struik, P.C., et al.. (2013). Joint use of insects and fungal pathogens in the management of waterhyacinth (Eichhornia crassipes): Perspectives for Ethiopia. Journal of Aquatic Plant Management. 51. 109–121.14 indexed citations
Lantinga, E.A., et al.. (2006). Slurry quality affects the soil food web. Socio-Environmental Systems Modeling. 712–714.2 indexed citations
11.
Schulte, Rogier P.O., et al.. (2004). A note on the effects of paddock size on the white clover content of swards grazed by sheep. Irish Journal of Agricultural and Food Research. 43(1). 103–107.1 indexed citations
Lantinga, E.A., et al.. (2000). The concept of sustainable agriculture. Socio-Environmental Systems Modeling. 120(1). 263–279.3 indexed citations
14.
Bruchem, J. van, et al.. (1999). Environmental tuning of agriculture in the Netherlands. Socio-Environmental Systems Modeling. 53(6). 233–245.2 indexed citations
15.
Lantinga, E.A., et al.. (1998). De renaissance van het gemengde bedrijf.. Socio-Environmental Systems Modeling. 23–29.1 indexed citations
16.
Lantinga, E.A., et al.. (1998). The Minderhoudhoeve project: development of an integrated and an ecological mixed farming system.. Socio-Environmental Systems Modeling. 115–118.3 indexed citations
Lantinga, E.A., et al.. (1993). Herbage intake, digestibility characteristics and milk production of a diploid and two tetraploid cultivars of perennial ryegrass.. Socio-Environmental Systems Modeling. 460–462.19 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.