J. Spijker

419 total citations
28 papers, 284 citations indexed

About

J. Spijker is a scholar working on Pollution, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, J. Spijker has authored 28 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 7 papers in Artificial Intelligence and 4 papers in Clinical Psychology. Recurrent topics in J. Spijker's work include Heavy metals in environment (7 papers), Geochemistry and Geologic Mapping (7 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). J. Spijker is often cited by papers focused on Heavy metals in environment (7 papers), Geochemistry and Geologic Mapping (7 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). J. Spijker collaborates with scholars based in Netherlands and Poland. J. Spijker's co-authors include Stijn Oonk, Leo Posthuma, Martina G. Vijver, Jos P. M. Vink, S.P. Vriend, P.F.M. van Gaans, Evelyn H. W. Heugens, Johannes Lijzen, Pim N.H. Wassenaar and C.W.M. Bodar and has published in prestigious journals such as Environmental Pollution, Journal of Environmental Management and Geoderma.

In The Last Decade

J. Spijker

26 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Spijker Netherlands 8 82 51 31 31 29 28 284
William A. Agyekum Ghana 6 117 1.4× 33 0.6× 14 0.5× 73 2.4× 39 1.3× 12 363
Mirjana Ćujić Serbia 12 159 1.9× 72 1.4× 5 0.2× 27 0.9× 16 0.6× 22 489
Xuemin Liu China 12 97 1.2× 137 2.7× 6 0.2× 20 0.6× 17 0.6× 32 363
Jihyun Lee South Korea 7 123 1.5× 12 0.2× 11 0.4× 47 1.5× 69 2.4× 16 351
Charles A. Biney Ghana 7 163 2.0× 15 0.3× 14 0.5× 14 0.5× 80 2.8× 16 419
Martin M. Kaufman United States 9 77 0.9× 19 0.4× 3 0.1× 45 1.5× 37 1.3× 25 289
Parvin Farshchi Iran 10 196 2.4× 64 1.3× 5 0.2× 11 0.4× 115 4.0× 32 409
Qilong Wang China 9 81 1.0× 22 0.4× 6 0.2× 3 0.1× 39 1.3× 19 334
Nnenesi A. Kgabi South Africa 11 56 0.7× 22 0.4× 2 0.1× 54 1.7× 29 1.0× 44 399

Countries citing papers authored by J. Spijker

Since Specialization
Citations

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

Fields of papers citing papers by J. Spijker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Spijker

This figure shows the co-authorship network connecting the top 25 collaborators of J. Spijker. A scholar is included among the top collaborators of J. Spijker 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 J. Spijker. J. Spijker 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.
Rasing, Sanne P. A., J. Spijker, Yvonne Stikkelbroek, & Daan H. M. Creemers. (2021). The best intervention for depression is early detection and prevention in youth. Tijdschrift voor psychiatrie. 63(2). 111–114. 1 indexed citations
2.
Tiemens, Bea, et al.. (2020). [Routine outcome monitoring (ROM) early in treatment and disorder specific. Observational study into generic and specific questionnaires to measure the early change in depression treatment].. Tijdschrift voor psychiatrie. 62(2). 121–130. 1 indexed citations
3.
Spijker, J., et al.. (2020). [Decrease of depression and outcome in treatment of anxiety disorders - an observational study of ROM data].. Tijdschrift voor psychiatrie. 62(3). 187–193. 3 indexed citations
4.
Kleinjan, Marloes, et al.. (2019). [New numbers on the duration of major and minor depressive episodes in the general population; results from NEMESIS-2].. PubMed. 60(6). 364–373. 1 indexed citations
5.
Bodar, C.W.M., J. Spijker, Johannes Lijzen, et al.. (2018). Risk management of hazardous substances in a circular economy. Journal of Environmental Management. 212. 108–114. 71 indexed citations
6.
Steenbergen-Weijenburg, Kirsten M van, Christina M. van der Feltz‐Cornelis, Eva K. Horn, et al.. (2015). [Collaborative care for co-morbid major depressive disorder in chronically ill outpatients in a general hospital].. PubMed. 57(4). 248–57. 5 indexed citations
7.
Oonk, Stijn & J. Spijker. (2015). A supervised machine-learning approach towards geochemical predictive modelling in archaeology. Journal of Archaeological Science. 59. 80–88. 45 indexed citations
8.
Spijker, J. & Stephan Claes. (2014). [Mood disorders in the DSM-5].. PubMed. 56(3). 173–6. 4 indexed citations
9.
Spijker, J.. (2012). The Dutch Soil Type Correction : An alternative approach. Data Archiving and Networked Services (DANS). 4 indexed citations
10.
Spijker, J., G. Mol, & Leo Posthuma. (2011). Regional ecotoxicological hazards associated with anthropogenic enrichment of heavy metals. Environmental Geochemistry and Health. 33(4). 409–426. 14 indexed citations
11.
Beelen, Patrick van, et al.. (2010). The application of a simplified method to map the aerobic acetate mineralization rates at the groundwater table of the Netherlands. Journal of Contaminant Hydrology. 122(1-4). 86–95. 2 indexed citations
12.
Vijver, Martina G., J. Spijker, Jos P. M. Vink, & Leo Posthuma. (2008). Determining metal origins and availability in fluvial deposits by analysis of geochemical baselines and solid–solution partitioning measurements and modelling. Environmental Pollution. 156(3). 832–839. 38 indexed citations
13.
Spijker, J., et al.. (2008). Achtergrondconcentraties en relatie met bodemtype in de Nederlandse bodem. Socio-Environmental Systems Modeling. 1 indexed citations
14.
Vlaardingen, van, et al.. (2007). Landelijke referentiewaarden ter onderbouwing vanmaximale waarden in het bodembeleid. Rivm (National Institute for Public Health and the Environment). 3 indexed citations
15.
Spijker, J., et al.. (2007). Implicaties van voorgestelde bodemnormwaarden uit 'Achtergrondwaarden 2000' in relatie tot risico's. 2 indexed citations
16.
Spijker, J., et al.. (2007). Natuurlijke achtergrondgehalten van zware metalen in de Nederlandse bodem : geochemische methode voor het schatten van natuurlijke achtergrondgehalten van zware metalen in de Nederlandse bodem t.b.v. de Risico Toolbox. Data Archiving and Networked Services (DANS). 1 indexed citations
17.
Beelen, Patrick van, et al.. (2007). Human health risks due to consumption of vegetables from contaminated sites Towards a protocol for site-specific assessment. 8 indexed citations
18.
Gaans, P.F.M. van, et al.. (2007). Patterns in soil quality: Natural geochemical variability versus anthropogenic impact in soils of Zeeland, The Netherlands. International Journal of Geographical Information Systems. 21(5). 569–587. 7 indexed citations
19.
Spijker, J., S.P. Vriend, & P.F.M. van Gaans. (2004). Natural and anthropogenic patterns of covariance and spatial variability of minor and trace elements in agricultural topsoil. Geoderma. 127(1-2). 24–35. 22 indexed citations
20.
Spijker, J., et al.. (2003). Zelfredzaamheid en zorggebruik van de eerste generatie Turkse en Marokkaanse migrantenouderen. TNO Repository. 81(4). 202. 6 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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