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 Eric Postma'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 Eric Postma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Postma more than expected).
This network shows the impact of papers produced by Eric Postma. 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 Eric Postma. The network helps show where Eric Postma may publish in the future.
Co-authorship network of co-authors of Eric Postma
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Postma.
A scholar is included among the top collaborators of Eric Postma 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 Eric Postma. Eric Postma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gu, Yu, Eric Postma, Hai Xiang Lin, & H.J. van den Herik. (2016). Speech Emotion Recognition with Log-Gabor Filters.. 446–452.2 indexed citations
6.
Postma, Eric, et al.. (2016). Measuring the Causal Dynamics of Facial Interaction with Convergent Cross Mapping.. Cognitive Science.1 indexed citations
7.
Postma, Eric, et al.. (2014). Are You Lying to Me? Exploring Children’s Nonverbal Cues to Deception. Cognitive Science. 36(36).3 indexed citations
Postma, Eric, et al.. (2013). Visual voice activity detection at different speeds. Research portal (Tilburg University). 187–190.7 indexed citations
11.
Krahmer, Emiel, et al.. (2011). Thin slices of head movements during problem solving reveal level of difficulty. Research portal (Tilburg University). 85–88.1 indexed citations
12.
Lacroix, J., Eric Postma, & H.J. van den Herik. (2007). Modeling Visual Classification using Bottom-up and Top-down Fixation Selection. eScholarship (California Digital Library). 29(29). 419–424.3 indexed citations
13.
Postma, Eric, et al.. (2006). NIM as a brain for a humanoid robot. Leiden Repository (Leiden University).1 indexed citations
14.
Lacroix, J., Eric Postma, & Jaap M. J. Murre. (2005). Predicting experimental similarity ratings and recognition rates for individual natural stimuli with the NIM model. UvA-DARE (University of Amsterdam). 363–364.2 indexed citations
15.
Lacroix, J., Jaap M. J. Murre, Eric Postma, & H.J. van den Herik. (2005). The Natural Input Memory Model. eScholarship (California Digital Library). 26(26).7 indexed citations
16.
Lacroix, J., Jaap M. J. Murre, & Eric Postma. (2005). Interpretive Diversity as a Source of Metaphor-Simile Distinction. eScholarship (California Digital Library). 27(27).5 indexed citations
17.
Postma, Eric, et al.. (2004). A context-based model of attention. European Conference on Artificial Intelligence. 927–931.7 indexed citations
18.
Postma, Eric, H.J. van den Herik, & Patrick Hudson. (1998). Spatio-chromatic Features for Image Recognition.. European Conference on Artificial Intelligence. 637–642.1 indexed citations
19.
Weijters, Ton, H.J. van den Herik, Antal van den Bosch, & Eric Postma. (1997). Avoiding overfitting with BP-SOM. Research portal (Tilburg University). 1140–1145.4 indexed citations
20.
Postma, Eric, H.J. van den Herik, & Patrick Hudson. (1994). Attentional scanning. European Conference on Artificial Intelligence. 173–177.1 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.