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.
A Diarylquinoline Drug Active on the ATP Synthase of Mycobacterium tuberculosis
20041.6k citationsKoen Andries, Peter Verhasselt et al.Scienceprofile →
The Google generation: the information behaviour of the researcher of the future
2008372 citationsDavid Nicholas, Peter Williams et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Peter Williams
Since
Specialization
Citations
This map shows the geographic impact of Peter 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 Peter Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Williams more than expected).
This network shows the impact of papers produced by Peter 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 Peter Williams. The network helps show where Peter Williams may publish in the future.
Co-authorship network of co-authors of Peter Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Williams.
A scholar is included among the top collaborators of Peter 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 Peter Williams. Peter Williams is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cardoso, José Vinícius de Miranda, Christina Hedges, Michael Gully-Santiago, et al.. (2018). Lightkurve: Kepler and TESS time series analysis in Python. Astrophysics Source Code Library.174 indexed citations
11.
Williams, Peter. (2012). COMPARING THE EFFECTIVENESS OF DIFFERENT WEBSITE DESIGNS IN FACILITATING INFORMATION RETRIEVAL FOR PEOPLE WITH LEARNING DISABILITIES. 123–133.
12.
Meyer, Eric T., Monica Bulger, Peter Williams, et al.. (2011). Collaborative Yet Independent: Information Practices in the Physical Sciences. CERN Bulletin.5 indexed citations
13.
Williams, Peter & David Nicholas. (2009). . Exploring the low representation of Black and Minority Ethnic staff in the library and information science profession: case study of London.. UCL Discovery (University College London).1 indexed citations
14.
Dobrowolski, Tom, Maggie Fieldhouse, Barrie Gunter, et al.. (2008). Digital Consumers: Reshaping the information professions. UCL Discovery (University College London).2 indexed citations
Andries, Koen, Peter Verhasselt, Jérôme Guillemont, et al.. (2004). A Diarylquinoline Drug Active on the ATP Synthase of Mycobacterium tuberculosis. Science. 307(5707). 223–227.1632 indexed citations breakdown →
17.
Huntington, Paul, et al.. (2004). Blackwell's digital users: their characteristics, preferences and information seeking behaviour: a deep log analysis. UCL Discovery (University College London).1 indexed citations
18.
Nicholas, David, Paul Huntington, & Peter Williams. (2004). Digital consumer health information and advisory services in the UK: a user evaluation and sourcebook. UCL Discovery (University College London).15 indexed citations
19.
Nicholas, David & Peter Williams. (1999). The changing information environment: the impact of the Internet on information seeking behaviour in the media. 451–462.8 indexed citations
20.
Williams, Peter, et al.. (1982). What now for test tube babies?. PubMed. 93(1291). 312–6.2 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.