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.
Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
20111.3k citationsKrzysztof J. Gorgolewski, Cindee Madison et al.Frontiers in Neuroinformaticsprofile →
Architectural considerations for a new generation of protocols
1990741 citationsDav Clark, David L. Tennenhouseprofile →
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 Dav Clark'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 Dav Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dav Clark more than expected).
This network shows the impact of papers produced by Dav Clark. 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 Dav Clark. The network helps show where Dav Clark may publish in the future.
Co-authorship network of co-authors of Dav Clark
This figure shows the co-authorship network connecting the top 25 collaborators of Dav Clark.
A scholar is included among the top collaborators of Dav Clark 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 Dav Clark. Dav Clark is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Clark, Dav, Frank Schumann, & Stewart H. Mostofsky. (2015). Mindful movement and skilled attention. Frontiers in Human Neuroscience. 9. 297–297.56 indexed citations
Clark, Dav, et al.. (2013). Knowledge Helps: Mechanistic Information and Numeric Evidence as Cognitive Levers to Overcome Stasis and Build Public Consensus on Climate Change. Cognitive Science. 35(35).15 indexed citations
8.
Ranney, Michael, et al.. (2012). Changing Global Warming Beliefs with Scientific Information: Knowledge, Attitudes, and RTMD (Reinforced Theistic Manifest Destiny Theory). Cognitive Science. 34(34).16 indexed citations
9.
Ranney, Michael, et al.. (2012). Improving Americans' Modest Global Warming Knowledge in the Light of RTMD (Reinforced Theistic Manifest Destiny) Theory. eScholarship (California Digital Library).7 indexed citations
10.
Gorgolewski, Krzysztof J., Cindee Madison, Dav Clark, et al.. (2011). Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python. Frontiers in Neuroinformatics. 5. 13–13.1258 indexed citations breakdown →
11.
Clark, Dav & Michael Ranney. (2010). Known knowns and unknown knowns: multiple memory routes to improved numerical estimation. eScholarship (California Digital Library). 460–467.5 indexed citations
Clark, Dav, K.T. Pogran, & David P. Reed. (1978). An introduction to local area networks. Proceedings of the IEEE. 66(11). 1497–1517.157 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.