Chris Van Waes

533 total citations
27 papers, 396 citations indexed

About

Chris Van Waes is a scholar working on Agronomy and Crop Science, Plant Science and Environmental Chemistry. According to data from OpenAlex, Chris Van Waes has authored 27 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Agronomy and Crop Science, 11 papers in Plant Science and 6 papers in Environmental Chemistry. Recurrent topics in Chris Van Waes's work include Ruminant Nutrition and Digestive Physiology (11 papers), Turfgrass Adaptation and Management (6 papers) and Bioenergy crop production and management (4 papers). Chris Van Waes is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (11 papers), Turfgrass Adaptation and Management (6 papers) and Bioenergy crop production and management (4 papers). Chris Van Waes collaborates with scholars based in Belgium, Hungary and Bulgaria. Chris Van Waes's co-authors include J. Baert, L. Carlier, Dirk Reheul, Erik Van Bockstaele, Mathias Cougnon, Bart Vandecasteele, Kris Verheyen, Bert Reubens, Paul Pardon and Koen Willekens and has published in prestigious journals such as Journal of Environmental Management, Frontiers in Plant Science and Journal of the Science of Food and Agriculture.

In The Last Decade

Chris Van Waes

26 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Van Waes Belgium 11 140 128 83 80 65 27 396
Lijun Zhou China 13 252 1.8× 69 0.5× 88 1.1× 23 0.3× 31 0.5× 35 527
Giovanni Antonio Re Italy 13 180 1.3× 88 0.7× 28 0.3× 148 1.9× 30 0.5× 33 502
O. A. Denton Nigeria 8 327 2.3× 47 0.4× 71 0.9× 38 0.5× 33 0.5× 20 541
Lixin Tian China 13 515 3.7× 154 1.2× 163 2.0× 38 0.5× 31 0.5× 37 689
Alcinei Mí­stico Azevedo Brazil 15 474 3.4× 57 0.4× 86 1.0× 97 1.2× 13 0.2× 120 744
Sebahattın Albayrak Türkiye 16 436 3.1× 392 3.1× 111 1.3× 128 1.6× 46 0.7× 66 683
Suresh Kumar India 10 138 1.0× 30 0.2× 59 0.7× 17 0.2× 37 0.6× 50 358
A. García‐Ciudad Spain 12 170 1.2× 58 0.5× 35 0.4× 29 0.4× 12 0.2× 20 430
Thomas Newton Martin Brazil 13 408 2.9× 182 1.4× 181 2.2× 38 0.5× 14 0.2× 97 539
Jamal Nasar China 17 479 3.4× 335 2.6× 142 1.7× 67 0.8× 20 0.3× 38 708

Countries citing papers authored by Chris Van Waes

Since Specialization
Citations

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

Fields of papers citing papers by Chris Van Waes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Van Waes. 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 Chris Van Waes. The network helps show where Chris Van Waes may publish in the future.

Co-authorship network of co-authors of Chris Van Waes

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Van Waes. A scholar is included among the top collaborators of Chris Van Waes 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 Chris Van Waes. Chris Van Waes 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.
2.
Vandecasteele, Bart & Chris Van Waes. (2023). Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS. Frontiers in Plant Science. 14. 1210791–1210791. 2 indexed citations
3.
Landschoot, Sofie, Pieter Vermeir, Chris Van Waes, et al.. (2022). Variation in potential feeding value of triticale forage among plant fraction, maturity stage, growing season and genotype. Heliyon. 9(1). e12760–e12760. 5 indexed citations
4.
Baert, J., et al.. (2020). Breeding and genetics of two new amphiploid Festulolium synthetics with improved yield and digestibility. Biologia Plantarum. 64. 789–797. 1 indexed citations
5.
Pannecoucque, Joke, et al.. (2018). Temperature as a key factor for successful inoculation of soybean with Bradyrhizobium spp. under cool growing conditions in Belgium. The Journal of Agricultural Science. 156(4). 493–503. 18 indexed citations
6.
Ampoorter, Evy, et al.. (2018). Monitoring the Impact of Hedgerows and Grass Strips on the Performance of Multiple Ecosystem Service Indicators. Environmental Management. 62(2). 241–259. 14 indexed citations
7.
Reubens, Bert, et al.. (2017). Potential of chopped heath biomass and spent growth media to replace wood chips as bulking agent for composting high N-containing residues. Journal of Environmental Management. 197. 338–350. 14 indexed citations
8.
Waes, Chris Van, et al.. (2017). The optimal lignin quantification method to breed for an improved cell wall digestibility in perennial ryegrass. Grass and Forage Science. 73(1). 101–111. 8 indexed citations
9.
Vandecasteele, Bart, Koen Willekens, Hanne Steel, et al.. (2016). Feedstock Mixture Composition as Key Factor for C/P Ratio and Phosphorus Availability in Composts: Role of Biodegradation Potential, Biochar Amendment and Calcium Content. Waste and Biomass Valorization. 8(8). 2553–2567. 37 indexed citations
10.
Cougnon, Mathias, Chris Van Waes, Eric Struyf, Jonas Schoelynck, & Dirk Reheul. (2016). Use of near infrared reflectance spectroscopy for the determination of silica content in tall fescue. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
11.
Baert, J., Chris Van Waes, R. P. Collins, et al.. (2014). Improvement of the digestibility of tall fescue (Festuca arundinacea Schreb.) inspired by perennial ryegrass (Lolium perenne L.).. 172–174. 6 indexed citations
12.
Cougnon, Mathias, Chris Van Waes, Pierre Dardenne, J. Baert, & Dirk Reheul. (2013). Comparison of near infrared reflectance spectroscopy calibration strategies for the botanical composition of grass‐clover mixtures. Grass and Forage Science. 69(1). 167–175. 12 indexed citations
13.
Baert, J., et al.. (2012). Biomass yield and composition from semi-extensively cultivated perennial fodder grasses.. 460–462. 3 indexed citations
14.
Waes, Chris Van, et al.. (2012). Comparison of dry matter yield of lignocellulosic perennial energy crops in a long-term Belgian field experiment.. 499–501. 8 indexed citations
15.
Cougnon, Mathias, J. Baert, Chris Van Waes, & Dirk Reheul. (2012). Effect of grass species and ploidy on clover content in grass-clover mixtures. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
16.
Vliegher, A. de, et al.. (2012). Biomass of annual forage crops for biogas production.. 463–465.
17.
Ranst, Gijs Van, et al.. (2010). Influence of damaging and wilting red clover on lipid metabolism during ensiling and in vitro rumen incubation. animal. 4(9). 1528–1540. 26 indexed citations
18.
Waes, Chris Van, et al.. (2005). Possibilities of near infrared reflectance spectroscopy for the prediction of organic carbon concentrations in grassland soils. The Journal of Agricultural Science. 143(6). 487–492. 33 indexed citations
19.
Waes, Chris Van, J. Baert, L. Carlier, & Erik Van Bockstaele. (1998). A rapid determination of the total sugar content and the average inulin chain length in roots of chicory (Cichorium intybus L). Journal of the Science of Food and Agriculture. 76(1). 107–110. 1 indexed citations
20.
Carlier, L., et al.. (1970). Forage Quality Evaluation. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture. 66(1). 3 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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