Hugo de Groot

1.6k total citations · 1 hit paper
5 papers, 439 citations indexed

About

Hugo de Groot is a scholar working on Ecology, Evolution, Behavior and Systematics, Sociology and Political Science and Management of Technology and Innovation. According to data from OpenAlex, Hugo de Groot has authored 5 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ecology, Evolution, Behavior and Systematics, 1 paper in Sociology and Political Science and 1 paper in Management of Technology and Innovation. Recurrent topics in Hugo de Groot's work include Climate change impacts on agriculture (3 papers), Information Systems Theories and Implementation (1 paper) and Rice Cultivation and Yield Improvement (1 paper). Hugo de Groot is often cited by papers focused on Climate change impacts on agriculture (3 papers), Information Systems Theories and Implementation (1 paper) and Rice Cultivation and Yield Improvement (1 paper). Hugo de Groot collaborates with scholars based in Netherlands, United States and Kenya. Hugo de Groot's co-authors include Haishun Yang, Justin Van Wart, Patricio Grassini, M.K. van Ittersum, Hendrik Boogaard, Lieven Claessens, J. Wolf, L.G.J. van Bussel, Kenneth G. Cassman and Kazuki Saito and has published in prestigious journals such as Field Crops Research, Environmental Modelling & Software and Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics).

In The Last Decade

Hugo de Groot

4 papers receiving 424 citations

Hit Papers

align trajectories

What are hit papers?

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.

How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis

2015 281 citations Patricio Grassini, L.G.J. van Bussel et al. Field Crops Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hugo de Groot Netherlands	4	269	263	139	109	82	5	439
Jonathan J. Ojeda Australia	16	243 0.9×	227 0.9×	166 1.2×	183 1.7×	76 0.9×	31	533
Andreas Enders Germany	8	190 0.7×	204 0.8×	92 0.7×	87 0.8×	64 0.8×	15	373
M. D. M. Kadiyala India	12	250 0.9×	219 0.8×	86 0.6×	138 1.3×	62 0.8×	21	512
Soora Naresh Kumar India	9	181 0.7×	217 0.8×	61 0.4×	107 1.0×	52 0.6×	12	381
Harm van Rees Australia	10	270 1.0×	275 1.0×	230 1.7×	176 1.6×	103 1.3×	20	567
Hans Kandel United States	14	445 1.7×	109 0.4×	239 1.7×	140 1.3×	68 0.8×	48	624
Rogério de Souza Nóia Júnior Germany	13	286 1.1×	144 0.5×	109 0.8×	107 1.0×	49 0.6×	39	445
N.I. Huth Australia	4	258 1.0×	217 0.8×	182 1.3×	141 1.3×	43 0.5×	7	483
Ando M. Radanielson Philippines	14	531 2.0×	304 1.2×	109 0.8×	138 1.3×	62 0.8×	31	705
Elijah Phiri Zambia	12	143 0.5×	127 0.5×	106 0.8×	71 0.7×	40 0.5×	34	351

Countries citing papers authored by Hugo de Groot

Since Specialization

Citations

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

Fields of papers citing papers by Hugo de Groot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugo de Groot. 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 Hugo de Groot. The network helps show where Hugo de Groot may publish in the future.

Co-authorship network of co-authors of Hugo de Groot

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

All Works

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5 of 5 papers shown

1.

Janssen, Sander, et al.. (2025). Applying user-centred design to climate and environmental tools. Environmental Modelling & Software. 192. 106519–106519.

2.

Groot, Hugo de, Lieven Claessens, Justin Van Wart, et al.. (2017). Kenya public weather processed by the Global Yield Gap Atlas project. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 3. 3 indexed citations

3.

Lammens, Tijs M., Hugo de Groot, I.G. Staritsky, et al.. (2016). Bio2Match: a Tool for Optimising the Match between Lignocellulosic Biomass and Conversion Technologies. ETA Florence. 3 indexed citations

4.

Bussel, L.G.J. van, Patricio Grassini, Justin Van Wart, et al.. (2015). From field to atlas: Upscaling of location-specific yield gap estimates. Field Crops Research. 177. 98–108. 152 indexed citations

5.

Grassini, Patricio, L.G.J. van Bussel, Justin Van Wart, et al.. (2015). How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis. Field Crops Research. 177. 49–63. 281 indexed citations breakdown →

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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