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.
A Study on Human Activity Recognition Using Accelerometer Data from Smartphones
2014357 citationsAkram Bayat, Marc Pomplun et al.profile →
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 Marc Pomplun'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 Marc Pomplun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Pomplun more than expected).
This network shows the impact of papers produced by Marc Pomplun. 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 Marc Pomplun. The network helps show where Marc Pomplun may publish in the future.
Co-authorship network of co-authors of Marc Pomplun
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Pomplun.
A scholar is included among the top collaborators of Marc Pomplun 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 Marc Pomplun. Marc Pomplun is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wu, Chia-Chien, et al.. (2014). The Effect of Immediate Accuracy Feedback in a Multiple-Target Visual Search Task. Cognitive Science. 36(36).1 indexed citations
Wang, Hsueh‐Cheng, et al.. (2012). Estimating Semantic Transparency of Constituents of English Compounds and Two-Character Chinese Words using Latent Semantic Analysis. eScholarship (California Digital Library). 34(34).4 indexed citations
Wang, Hsueh‐Cheng, Shijian Lu, Joo‐Hwee Lim, & Marc Pomplun. (2012). Visual Attention is Attracted by Text Features Even in Scenes without Text. Cognitive Science. 34(34).3 indexed citations
10.
Wang, Hsueh‐Cheng & Marc Pomplun. (2011). The Attraction of Visual Attention to Texts in Real-World Scenes. Cognitive Science. 33(33).3 indexed citations
Hwang, Alex D., et al.. (2007). How Chromaticity Guides Visual Search in Real-World Scenes. eScholarship (California Digital Library). 29(29).5 indexed citations
Pomplun, Marc, et al.. (2004). Studying Human Face Recognition with the Gaze-Contingent Window Technique. eScholarship (California Digital Library). 26(26).13 indexed citations
Pomplun, Marc, et al.. (2003). Comparative Search Reveals the Tradeoff between Eye Movements and Working Memory Use in Visual Tasks. eScholarship (California Digital Library). 25(25).21 indexed citations
Pomplun, Marc, et al.. (2000). The Area Activation Model of Saccadic Selectivity in Visual Search. eScholarship (California Digital Library). 22(22).13 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.