J.D. Stigter

1.3k citations
68 papers · 858 · h-index 16

Impact in

Papers in

J.D. Stigter

64 papers receiving 792 citations

Peers

J.D. Stigter
Comparison fields: 5 of 117
  • Process Chemistry and Technology 30
  • Control and Systems Engineering 231
  • Statistics, Probability and Uncertainty 64
  • Water Science and Technology 88
  • Environmental Engineering 79
Replace Gilberto Mosqueda with:
Gilberto Mosqueda United States
Junqing Li China
László Szeidl Hungary
Sastry Isukapalli United States
Qiongli Wu China
Su Ki Ooi Australia
Harrie Hendriks Netherlands
M.J.W. Jansen Netherlands
Brandon Stark United States
Matieyendou Lamboni France
J.D. Stigter relative to Gilberto Mosqueda United States Gilberto Mosqueda's profile →
Citations per field
00.5×10×15×17.6×
Gilberto Mosqueda · 1×
Citations per year

Countries citing papers authored by J.D. Stigter

Since Specialization
Citations

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

Fields of papers citing papers by J.D. Stigter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.D. Stigter. 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 J.D. Stigter. The network helps show where J.D. Stigter may publish in the future.

Co-authors

The 25 scholars most cited alongside J.D. Stigter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.D. Stigter Line = papers co-authored together J.D. Stigter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019120
2 201560
3 201241
4 200940
5 201737
6 200636
7 201425
8 202025
9 200225
10 201224
11 200423
12 201720
13 202216
14 200116
15 201816
16 200815
17 200115
18 199414
19 200814
20 202114

About J.D. Stigter

J.D. Stigter is a scholar working on Control and Systems Engineering, Plant Science, Global and Planetary Change, Molecular Biology and Statistical and Nonlinear Physics, having authored 68 papers that have together received 858 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (16 papers), Control Systems and Identification (14 papers), Greenhouse Technology and Climate Control (13 papers), Probabilistic and Robust Engineering Design (8 papers), Gene Regulatory Network Analysis (8 papers), Fault Detection and Control Systems (7 papers), Model Reduction and Neural Networks (7 papers) and Plant Water Relations and Carbon Dynamics (7 papers). The work is most often cited by research in Process Chemistry and Technology (30 citations), Control and Systems Engineering (231 citations), Statistics, Probability and Uncertainty (64 citations), Water Science and Technology (88 citations) and Environmental Engineering (79 citations). J.D. Stigter has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Jaap Molenaar, Karel J. Keesman, G. van Straten, M.B. Beck, D. de Vries, John Jakeman, Philip Brunner, Stefano Marsili-Libelli, Barry Croke and Joseph H. A. Guillaume. Their work appears in journals such as Biosystems Engineering, Mathematical Biosciences, Journal of Process Control, PLoS ONE and Sustainability.

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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