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.
How Can Research Organizations More Effectively Transfer Research Knowledge to Decision Makers?
2003826 citationsJohn N. Lavis, Dave Robertson et al.Milbank Quarterlyprofile →
Citations per year, relative to Dave Robertson Dave Robertson (= 1×)
peers
Rita Kukafka
Countries citing papers authored by Dave Robertson
Since
Specialization
Citations
This map shows the geographic impact of Dave Robertson'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 Dave Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Robertson more than expected).
This network shows the impact of papers produced by Dave Robertson. 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 Dave Robertson. The network helps show where Dave Robertson may publish in the future.
Co-authorship network of co-authors of Dave Robertson
This figure shows the co-authorship network connecting the top 25 collaborators of Dave Robertson.
A scholar is included among the top collaborators of Dave Robertson 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 Dave Robertson. Dave Robertson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Robertson, Dave, et al.. (2010). Service Choreography Meets the Web of Data Via Micro-Data. National Conference on Artificial Intelligence. 8–13.1 indexed citations
6.
Giunchiglia, Fausto & Dave Robertson. (2010). The Social Computer: Combining Machine and Human Computation. Unitn Eprints Research (Università Degli Studi di Trento).8 indexed citations
Robertson, Dave, Fausto Giunchiglia, Frank van Harmelen, et al.. (2006). Open Knowledge: Semantic Webs Through Peer-to-Peer Interaction. Unitn Eprints Research (Università Degli Studi di Trento).9 indexed citations
10.
Chen-Burger, Yun-Heh & Dave Robertson. (2005). Automating Business Modelling: A Guide to Using Logic to Represent Informal Methods and Support Reasoning (Advanced Information and Knowledge Processing). Springer eBooks.1 indexed citations
11.
Robertson, Dave, et al.. (2005). Discovery and uncertainty in semantic web services. 34–44.2 indexed citations
Lavis, John N., Dave Robertson, Jennifer Woodside, Chris McLeod, & Julia Abelson. (2003). How Can Research Organizations More Effectively Transfer Research Knowledge to Decision Makers?. Milbank Quarterly. 81(2). 221–248.826 indexed citations breakdown →
Ceccaroni, Luigi & Dave Robertson. (2000). WaRP - a reactive planner integrated in an environmental decision-support system for Wastewater treatment plant management. European Conference on Artificial Intelligence. 491–495.1 indexed citations
Mota, Edjard, et al.. (1995). Time granularity in simulation models of ecological systems. OpenGrey (Institut de l'Information Scientifique et Technique).6 indexed citations
18.
Robertson, Dave, et al.. (1995). A localist network architecture for logical inference based on temporal synchrony approach to dynamic variable binding.5 indexed citations
19.
Robertson, Dave, et al.. (1994). Reasoning with Limited Unification in a Connectionist Rule-Based System. OpenGrey (Institut de l'Information Scientifique et Technique).1 indexed citations
20.
Vargas-Vera, María, Wamberto Vasconcelos, & Dave Robertson. (1993). Building large-scale Prolog programs using a techniques editing system. International Conference on Logic Programming. 636.1 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.