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.
This map shows the geographic impact of Jonathan Cave'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 Jonathan Cave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Cave more than expected).
This network shows the impact of papers produced by Jonathan Cave. 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 Jonathan Cave. The network helps show where Jonathan Cave may publish in the future.
Co-authorship network of co-authors of Jonathan Cave
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Cave.
A scholar is included among the top collaborators of Jonathan Cave 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 Jonathan Cave. Jonathan Cave is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cave, Jonathan, et al.. (2012). Data Protection Review: Impact on EU Innovation and Competitiveness:. TNO Repository.2 indexed citations
10.
Cave, Jonathan. (2010). Who's Connected to Whom: The Impact of Liabilities and Network Structures on the Costs of Bad Behaviour Online. SSRN Electronic Journal.
11.
Cave, Jonathan, et al.. (2009). Trends in Connectivity Technologies and Their Socioeconomic Impacts. Final Report of the Study: Policy Options for the Ubiquitous Internet Society. Technical Report..3 indexed citations
12.
Cave, Jonathan. (2009). Prisoners of our own Device - an evolutionary perspective on lock-in, technology clusters and telecom regulation. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).3 indexed citations
13.
Cave, Jonathan, Steve Simmons, & Christopher T. Marsden. (2008). Options for and Effectiveness of Internet Self- and Co-Regulation Phase 3 (Final) Report. SSRN Electronic Journal.3 indexed citations
14.
Marsden, Christopher T. & Jonathan Cave. (2007). Beyond the ‘Net Neutrality’ Debate: Price and Quality Discrimination in Next Generation Internet Access. SSRN Electronic Journal.8 indexed citations
15.
Marsden, Christopher T., Jonathan Cave, Edward Nason, et al.. (2006). Assessing Indirect Impacts of the EC Proposals for Video Regulation. Discovery Research Portal (University of Dundee). 72(2). 437–42.12 indexed citations
16.
Anderson, Robert H., et al.. (2001). The future of the information revolution in Europe : proceedings of an international conference. Defense Technical Information Center (DTIC).1 indexed citations
Cave, Jonathan, et al.. (1999). Modalities of R&D Funding.1 indexed citations
19.
Cave, Jonathan. (1985). A Further Comment on Preemptive Patenting and the Persistence of Monopoly. American Economic Review. 75(1). 256–258.1 indexed citations
20.
Cave, Jonathan. (1984). The Cold Fish War: Long-Term Competition in a Dynamic Game,. Defense Technical Information Center (DTIC).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.