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 Frank Keller'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 Frank Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Keller more than expected).
This network shows the impact of papers produced by Frank Keller. 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 Frank Keller. The network helps show where Frank Keller may publish in the future.
Co-authorship network of co-authors of Frank Keller
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Keller.
A scholar is included among the top collaborators of Frank Keller 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 Frank Keller. Frank Keller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Keller, Frank, et al.. (2013). The Effect of Incremental Context on Conceptual Processing: Evidence from Visual World and Reading Experiments. Cognitive Science. 35(35).
10.
Dziemianko, Michal, Alasdair D. F. Clarke, & Frank Keller. (2013). Object-based Saliency as a Predictor of Attention in Visual Tasks. Cognitive Science. 35(35).2 indexed citations
11.
Keller, Frank, et al.. (2012). The Plausibility of Semantic Properties Generated by a Distributional Model: Evidence from a Visual World Experiment. Cognitive Science. 34(34).4 indexed citations
12.
Dziemianko, Michal, Moreno I. Coco, & Frank Keller. (2011). Incremental Learning of Target Locations in Visual Search. Cognitive Science. 33(33).2 indexed citations
13.
Keller, Frank, et al.. (2010). Corpus Evidence for Age Effects on Priming in Child Language. Proceedings of the Annual Meeting of the Cognitive Science Society. 32(32). 218–223.6 indexed citations
14.
Mitchell, Jeff, Mirella Lapata, Vera Demberg, & Frank Keller. (2010). Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measure. Edinburgh Research Explorer (University of Edinburgh). 196–206.41 indexed citations
15.
Frank, Stella, Sharon Goldwater, & Frank Keller. (2009). Evaluating Models of Syntactic Category Acquisition without Using a Gold Standard. eScholarship (California Digital Library). 31(31).6 indexed citations
16.
Lapata, Mirella & Frank Keller. (2007). An Information Retrieval Approach to Sense Ranking. Edinburgh Research Explorer (University of Edinburgh). 348–355.10 indexed citations
17.
Reitter, David, Johanna D. Moore, & Frank Keller. (2006). Priming of Syntactic Rules in Task-Oriented Dialogue and Spontaneous Conversation. ERA. 28(28).86 indexed citations
18.
Keller, Frank, et al.. (2006). Combining Syntax and Thematic Fit in a Probabilistic Model of Sentence Processing. eScholarship (California Digital Library). 28(28).11 indexed citations
19.
Padó, Ulrike, Matthew W. Crocker, & Frank Keller. (2006). Modelling Semantic Role Pausibility in Human Sentence Processing.. Conference of the European Chapter of the Association for Computational Linguistics.5 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.