Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Guidelines for terms related to chemical speciation and fractionation of elements. Definitions, structural aspects, and methodological approaches (IUPAC Recommendations 2000)
This map shows the geographic impact of Freek Ariese'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 Freek Ariese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Freek Ariese more than expected).
This network shows the impact of papers produced by Freek Ariese. 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 Freek Ariese. The network helps show where Freek Ariese may publish in the future.
Co-authorship network of co-authors of Freek Ariese
This figure shows the co-authorship network connecting the top 25 collaborators of Freek Ariese.
A scholar is included among the top collaborators of Freek Ariese 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 Freek Ariese. Freek Ariese is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gautam, Rekha, et al.. (2015). Review of multidimensional data processing approaches for Raman and infrared spectroscopy. Data Archiving and Networked Services (DANS). 2(1).504 indexed citations breakdown →
9.
Ariese, Freek, et al.. (2012). Time-resolved Raman spectroscopy for non-invasive detection through non-transparent materials. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 24(1). 19–21.3 indexed citations
Ariese, Freek, et al.. (2002). Computer model to generate predicted environmental concentrations (PECs) for antifouling products in the marine environment. VU Research Portal.12 indexed citations
13.
Gooijer, C., Freek Ariese, J.W. Hofstraat, & Andrés D. Campiglia. (2001). Shpol'skii Spectroscopy and Other Site-Selection Methods. Applied Spectroscopy. 55(9).45 indexed citations
Ariese, Freek, et al.. (2000). Preparation and certification of fish bile reference materials for exposure monitoring of PAHs in the aquatic environment: Second progress report EU-SMT project #SMT4-CT98-2250. Data Archiving and Networked Services (DANS).1 indexed citations
16.
Ariese, Freek, et al.. (1999). Preparation and certification of fish bile reference materials for exposure monitoring of PAHs in the aquatic environment. Data Archiving and Networked Services (DANS).2 indexed citations
17.
Belfroid, A.C., et al.. (1999). Organotin levels in seafood, in relation to the tolerable daily intake (TDI) for humans. Literature study. VU Research Portal.1 indexed citations
18.
Ariese, Freek, et al.. (1999). Chemische Monitoring Loswal Noordwest situatie 1998. Data Archiving and Networked Services (DANS).1 indexed citations
19.
Ariese, Freek, et al.. (1998). Organotin pollution levels in sediments from the Dutch Wadden Sea. Data Archiving and Networked Services (DANS).1 indexed citations
20.
Ariese, Freek, et al.. (1998). Butyltin and phenyltin compounds in liver and blubber samples of sperm whales (Physeter macrocephalus) stranded in the Netherlands and Denmark. Data Archiving and Networked Services (DANS).4 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.