C.N. Verdouw

6.1k total citations · 3 hit papers
65 papers, 3.7k citations indexed

About

C.N. Verdouw is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Information Systems. According to data from OpenAlex, C.N. Verdouw has authored 65 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 15 papers in Management of Technology and Innovation and 14 papers in Management Information Systems. Recurrent topics in C.N. Verdouw's work include Digital Transformation in Industry (13 papers), Service and Product Innovation (12 papers) and Food Supply Chain Traceability (11 papers). C.N. Verdouw is often cited by papers focused on Digital Transformation in Industry (13 papers), Service and Product Innovation (12 papers) and Food Supply Chain Traceability (11 papers). C.N. Verdouw collaborates with scholars based in Netherlands, Germany and Chile. C.N. Verdouw's co-authors include J. Wolfert, Lan Ge, M.J. Bogaardt, A.J.M. Beulens, Bedir Teki̇nerdoğan, Adrie Beulens, Agathe Rialland, J.G.A.J. van der Vorst, Jacques Trienekens and Tim Verwaart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Sensors.

In The Last Decade

C.N. Verdouw

59 papers receiving 3.5k citations

Hit Papers

Big Data in Smart Farming – A review 2015 2026 2018 2022 2017 2021 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.N. Verdouw Netherlands 22 1.4k 699 666 488 432 65 3.7k
J. Wolfert Netherlands 21 1.6k 1.1× 754 1.1× 502 0.8× 451 0.9× 466 1.1× 59 3.9k
Bedir Teki̇nerdoğan Netherlands 36 887 0.6× 311 0.4× 853 1.3× 191 0.4× 784 1.8× 231 5.0k
Claus Aage Grøn Sørensen Denmark 41 1.8k 1.2× 415 0.6× 548 0.8× 170 0.3× 219 0.5× 156 4.8k
Dionysis Bochtis Greece 43 3.1k 2.2× 530 0.8× 643 1.0× 235 0.5× 211 0.5× 169 7.0k
Andreas Kamilaris Cyprus 21 2.9k 2.0× 673 1.0× 217 0.3× 210 0.4× 605 1.4× 68 5.6k
M.J. Bogaardt Netherlands 10 1.0k 0.7× 462 0.7× 170 0.3× 169 0.3× 201 0.5× 29 2.2k
Francesc X. Prenafeta‐Boldú Spain 27 3.3k 2.3× 666 1.0× 202 0.3× 208 0.4× 273 0.6× 66 6.7k
Xiaoshuan Zhang China 33 603 0.4× 1.5k 2.2× 199 0.3× 315 0.6× 155 0.4× 216 4.2k
Karim Rejeb Tunisia 30 325 0.2× 409 0.6× 384 0.6× 651 1.3× 347 0.8× 71 3.3k
Abderahman Rejeb Hungary 37 353 0.2× 545 0.8× 746 1.1× 1.1k 2.3× 473 1.1× 104 4.7k

Countries citing papers authored by C.N. Verdouw

Since Specialization
Citations

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

Fields of papers citing papers by C.N. Verdouw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.N. Verdouw. 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 C.N. Verdouw. The network helps show where C.N. Verdouw may publish in the future.

Co-authorship network of co-authors of C.N. Verdouw

This figure shows the co-authorship network connecting the top 25 collaborators of C.N. Verdouw. A scholar is included among the top collaborators of C.N. Verdouw 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 C.N. Verdouw. C.N. Verdouw 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.
Hurst, William, et al.. (2023). Virtual Reality-Based Digital Twins: A Case Study on Pharmaceutical Cannabis. Big Data and Cognitive Computing. 7(2). 95–95. 12 indexed citations
2.
Kassahun, Ayalew, et al.. (2023). A framework for modelling and designing transparency systems: A case of a Vietnamese pork supply chain. Heliyon. 9(11). e21095–e21095. 2 indexed citations
3.
Verdouw, C.N., et al.. (2023). Tokenizing circularity in agri-food systems: A conceptual framework and exploratory study. Journal of Cleaner Production. 413. 137527–137527. 3 indexed citations
4.
Verdouw, C.N., et al.. (2023). A digital twin reference architecture for pharmaceutical cannabis production. International Journal of Computer Integrated Manufacturing. 37(6). 726–746. 5 indexed citations
5.
Kassahun, Ayalew, et al.. (2021). Analyzing and Designing Business Processes in the Ghana Cocoa Supply Chain for Supporting Inclusiveness. Sustainability. 13(22). 12440–12440. 8 indexed citations
6.
Verdouw, C.N., Bedir Teki̇nerdoğan, Adrie Beulens, & J. Wolfert. (2021). Digital twins in smart farming. Agricultural Systems. 189. 103046–103046. 368 indexed citations breakdown →
7.
Verdouw, C.N., J. Wolfert, & Bedir Teki̇nerdoğan. (2016). Internet of Things in agriculture.. CABI Reviews. 1–12. 90 indexed citations
8.
Kempenaar, C., C. Lokhorst, R.F. Veerkamp, et al.. (2016). Big data analysis for smart farming: Results of TO2 project in theme food security. Socio-Environmental Systems Modeling. 655. 19 indexed citations
9.
Poppe, K.J., et al.. (2015). A European Perspective on the Economics of Big Data. Socio-Environmental Systems Modeling. 47 indexed citations
10.
Verdouw, C.N., et al.. (2015). Integration of production control and enterprise management systems in horticulture. Socio-Environmental Systems Modeling. 1498. 124–135. 2 indexed citations
11.
Poppe, K.J., J. Wolfert, & C.N. Verdouw. (2014). How ICT is changing the nature of the farm : a research agenda on the economics of big data. Socio-Environmental Systems Modeling. 3 indexed citations
12.
Verdouw, C.N., et al.. (2014). Towards a Smarter Greenport: Public-Private Partnership to Boost Digital Standardisation and Innovation in the Dutch Horticulture. International journal on food system dynamics. 5(1). 44–52. 8 indexed citations
13.
Verdouw, C.N., et al.. (2013). Future Internet as a Driver for Virtualization, Connectivity and Intelligence of Agri-Food Supply Chain Networks. International journal on food system dynamics. 4(4). 261–272. 17 indexed citations
14.
Verdouw, C.N., et al.. (2012). De implementatie van integrale bedrijfsmanagementsystemen: Lessons Learned in de tuinbouw. Socio-Environmental Systems Modeling. 2 indexed citations
15.
Verdouw, C.N., et al.. (2012). Smart Agri-Food Logistics: Requirements for the Future Internet. Socio-Environmental Systems Modeling. 1 indexed citations
16.
Verdouw, C.N., et al.. (2011). The role of use cases in development of a reference framework for interoperability of data exchange in agriculture. Socio-Environmental Systems Modeling. 382–392.
17.
Verdouw, C.N., A.J.M. Beulens, Jacques Trienekens, & Tim Verwaart. (2010). Towards dynamic reference information models: Readiness for ICT mass customisation. Computers in Industry. 61(9). 833–844. 24 indexed citations
18.
Verdouw, C.N., et al.. (2009). Integrated Digital Horticulture (IDH): inventory, analysis and programme proposal.. 1 indexed citations
19.
Verdouw, C.N., et al.. (2009). Tuinbouw Integraal Digitaal (TID); Inventarisatie, analyse en programmavoorstel. Socio-Environmental Systems Modeling. 4 indexed citations
20.
Wolfert, J., C.N. Verdouw, & A.J.M. Beulens. (2008). Future challenges for information integration in multi-dimensional agri-food supply chain networks. Socio-Environmental Systems Modeling. 196–203. 1 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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