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.
The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud
2013416 citationsKatherine Wolstencroft, Robert Haines et al.Nucleic Acids Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Alan Williams'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 Alan Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Williams more than expected).
This network shows the impact of papers produced by Alan Williams. 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 Alan Williams. The network helps show where Alan Williams may publish in the future.
Co-authorship network of co-authors of Alan Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Williams.
A scholar is included among the top collaborators of Alan Williams 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 Alan Williams. Alan Williams is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stanford, Natalie, Finn Bacall, Martin Golebiewski, et al.. (2016). FAIRDOM: Reproducible Systems Biology through FAIR Asset Management. Research Explorer (The University of Manchester).1 indexed citations
Wolstencroft, Katherine, Robert Haines, Donal Fellows, et al.. (2013). The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud. Nucleic Acids Research. 41(W1). W557–W561.416 indexed citations breakdown →
Williams, Alan, et al.. (2004). Perceptions About The ISO 9000 (2000) Quality System Standard Revision And Its Value: The Dutch Experience. ERIM Report Series Research in Management.11 indexed citations
Wiele, A. van der, et al.. (1996). Self‐assessment. International Journal of Quality & Reliability Management. 13(1). 84–104.86 indexed citations
16.
Barringer, Howard, et al.. (1995). Symbolic Equivalence Checking for the ELLA Hardware Description Language. Journal of the Brazilian Computer Society. 2(2). 49–62.
17.
Barringer, Howard, et al.. (1995). The State Evolution Method for Verifying Hardware Systems.
18.
Paauwe, Jaap, et al.. (1991). Can the personnel department survive quality management. Personnel Review. 28–33.10 indexed citations
19.
Williams, Alan. (1989). EFSUMB position. Ultrasound in Medicine & Biology. 15. 81–81.1 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.