R.M.C. Jansen

442 total citations
19 papers, 336 citations indexed

About

R.M.C. Jansen is a scholar working on Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, R.M.C. Jansen has authored 19 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 8 papers in Insect Science and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in R.M.C. Jansen's work include Insect and Pesticide Research (5 papers), Greenhouse Technology and Climate Control (5 papers) and Plant and animal studies (4 papers). R.M.C. Jansen is often cited by papers focused on Insect and Pesticide Research (5 papers), Greenhouse Technology and Climate Control (5 papers) and Plant and animal studies (4 papers). R.M.C. Jansen collaborates with scholars based in Netherlands, Germany and Japan. R.M.C. Jansen's co-authors include E.J. van Henten, Harro J. Bouwmeester, J.W. Hofstee, J. Wildt, Iris F. Kappers, Francel Verstappen, E. Kleist, Maarten A. Posthumus, J. Laothawornkitkul and Hans M. Smid and has published in prestigious journals such as Sensors, Annual Review of Phytopathology and Phytopathology.

In The Last Decade

R.M.C. Jansen

16 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R.M.C. Jansen Netherlands	9	187	120	100	61	47	19	336
M.M.L. Steeghs Netherlands	9	120 0.6×	91 0.8×	267 2.7×	84 1.4×	105 2.2×	10	513
Cheng Bai United States	12	247 1.3×	106 0.9×	44 0.4×	22 0.4×	127 2.7×	27	423
Chrisovalantis Papaefthimiou Greece	13	92 0.5×	251 2.1×	22 0.2×	163 2.7×	66 1.4×	19	543
Aihua Wang China	9	133 0.7×	55 0.5×	22 0.2×	70 1.1×	88 1.9×	33	328
Dariusz Pańka Poland	9	214 1.1×	80 0.7×	10 0.1×	177 2.9×	86 1.8×	41	409
Cecilia C. Carmarán Argentina	11	202 1.1×	64 0.5×	28 0.3×	79 1.3×	64 1.4×	43	358
Chris Adegoke Fayose Nigeria	3	152 0.8×	75 0.6×	14 0.1×	16 0.3×	68 1.4×	7	250
Chisato Hirano Japan	13	136 0.7×	309 2.6×	54 0.5×	96 1.6×	86 1.8×	62	493
Ning Lei China	13	286 1.5×	93 0.8×	23 0.2×	49 0.8×	100 2.1×	33	515

Countries citing papers authored by R.M.C. Jansen

Since Specialization

Citations

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

Fields of papers citing papers by R.M.C. Jansen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M.C. Jansen. 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 R.M.C. Jansen. The network helps show where R.M.C. Jansen may publish in the future.

Co-authorship network of co-authors of R.M.C. Jansen

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

All Works

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19 of 19 papers shown

Jansen, R.M.C., et al.. (2021). Two nitrogenous sesquiterpenoids from the nudibranch Phyllidiella pustulosa. Journal of Asian Natural Products Research. 24(1). 39–44. 2 indexed citations

Takayama, Kotaro, R.M.C. Jansen, E.J. van Henten, et al.. (2012). Emission index for evaluation of volatile organic compounds emitted from tomato plants in greenhouses. Biosystems Engineering. 113(2). 220–228. 14 indexed citations

Jansen, R.M.C. & J. Hemming. (2012). Validation of X-ray for borehole detection in intact trees. Socio-Environmental Systems Modeling.

Jansen, R.M.C., J. Wildt, Iris F. Kappers, et al.. (2011). Detection of Diseased Plants by Analysis of Volatile Organic Compound Emission. Annual Review of Phytopathology. 49(1). 157–174. 109 indexed citations

Jansen, R.M.C., et al.. (2011). HEALTH MONITORING OF PLANTS BY THEIR EMITTED VOLATILES: A TEMPORARY INCREASE IN THE CONCENTRATION OF METHYL SALICYLATE AFTER PATHOGEN INOCULATION OF TOMATO PLANTS AT GREENHOUSE SCALE. Acta Horticulturae. 1255–1262.

Jansen, R.M.C., J.W. Hofstee, J. Wildt, et al.. (2010). Health monitoring of plants by their emitted volatiles: A model to predict the effect of Botrytis cinerea on the concentration of volatiles in a large-scale greenhouse. Biosystems Engineering. 106(1). 37–47. 13 indexed citations

Laothawornkitkul, J., R.M.C. Jansen, Hans M. Smid, et al.. (2010). Volatile organic compounds as a diagnostic marker of late blight infected potato plants: A pilot study. Crop Protection. 29(8). 872–878. 36 indexed citations

Jansen, R.M.C. & J. Hemming. (2010). X-ray inspection for boreholes in intact trees. Socio-Environmental Systems Modeling. 1 indexed citations

Jansen, R.M.C., J.W. Hofstee, Harro J. Bouwmeester, & E.J. van Henten. (2010). Automated Signal Processing Applied to Volatile-Based Inspection of Greenhouse Crops. Sensors. 10(8). 7122–7133. 18 indexed citations

10.

Kogel, W.J. de, et al.. (2010). Bruikbaarheid van non-destructieve detectietechnologieën voor routinematige inspecties. Socio-Environmental Systems Modeling. 1 indexed citations

11.

Jansen, R.M.C., et al.. (2009). Release of lipoxygenase products and monoterpenes by tomato plants as an indicator of Botrytis cinerea‐induced stress. Plant Biology. 11(6). 859–868. 56 indexed citations

12.

Jansen, R.M.C., J.W. Hofstee, Jürgen Wildt, et al.. (2009). Induced plant volatiles allow sensitive monitoring of plant health status in greenhouses. Plant Signaling & Behavior. 4(9). 824–829. 28 indexed citations

13.

Jansen, R.M.C., Kotaro Takayama, Jürgen Wildt, et al.. (2009). Monitoring Crop Health Status at Greenhouse Scale on the Basis of Volatiles Emitted from the Plants. Environment Control in Biology. 47(2). 87–100. 5 indexed citations

14.

Jansen, R.M.C., J.W. Hofstee, J. Wildt, et al.. (2009). Health monitoring of plants by their emitted volatiles: trichome damage and cell membrane damage are detectable at greenhouse scale. Annals of Applied Biology. 154(3). 441–452. 29 indexed citations

15.

Takayama, Kotaro, et al.. (2008). Monitoring of lipoxygenase-related plant emission for early detection of drought stress in greenhouse. Socio-Environmental Systems Modeling. 1 indexed citations

16.

Jansen, R.M.C., J.W. Hofstee, Francel Verstappen, et al.. (2008). A METHOD TO DETECT BASELINE EMISSION AND PLANT DAMAGE INDUCED VOLATILE EMISSION IN A GREENHOUSE. Acta Horticulturae. 1415–1422. 4 indexed citations

17.

Jansen, R.M.C., et al.. (2006). Changes in volatile production during an infection of tomato plants by Botrytis cinerea. Phytopathology. 96(6). 54–54. 1 indexed citations

18.

Harbinson, Jeremy, R.M.C. Jansen, G. van Straten, et al.. (2005). The sesquiterpene α-copaene is induced in tomato leaves infected byBotrytis cinerea. Journal of Plant Interactions. 1(3). 163–170. 18 indexed citations

19.

Laothawornkitkul, J., et al.. (2005). Normalization, baseline correction and alignment of data to assess changes in volatile production during an infection of potato plants with phytophthora infestans. Socio-Environmental Systems Modeling. 491–494.

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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