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.
Design of Plasmonic Thin‐Film Solar Cells with Broadband Absorption Enhancements
2009676 citationsRagip Pala, Justin S. White et al.Advanced Materialsprofile →
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 John Liu'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 John Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Liu more than expected).
This network shows the impact of papers produced by John Liu. 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 John Liu. The network helps show where John Liu may publish in the future.
Co-authorship network of co-authors of John Liu
This figure shows the co-authorship network connecting the top 25 collaborators of John Liu.
A scholar is included among the top collaborators of John Liu 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 John Liu. John Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, John, et al.. (2021). Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 34–46.2 indexed citations
Liu, John, et al.. (2019). How can OpenShift accelerate your Kubernetes adoption: a workshop exploring OpenShift features. 380–381.2 indexed citations
6.
Mease, Philip, Mark C. Genovese, Michael E. Weinblatt, et al.. (2018). Phase 2 Study of ABT-122, a TNF- and IL-17A-Targeted Dual Variable Domain Immunoglobulin, in Psoriatic Arthritis With Inadequate Methotrexate Response.. Arthritis & Rheumatism.6 indexed citations
7.
Liu, John, et al.. (2018). Build a cognitive serverless slack app with IBM cloud functions & IBM Watson API.. Conference of the Centre for Advanced Studies on Collaborative Research. 354–355.1 indexed citations
Liu, John, et al.. (2014). The Effect of Provided and Self-Requested Knowledge of Performance on Acquisition and Transfer Performance of an Open Sport Skill in College Students. 11(2). 46–55.
Pala, Ragip, Justin S. White, Edward S. Barnard, John Liu, & Mark L. Brongersma. (2009). Design of Plasmonic Thin‐Film Solar Cells with Broadband Absorption Enhancements. Advanced Materials. 21(34). 3504–3509.676 indexed citations breakdown →
Zhang, Jiabei, et al.. (2004). The Effect of a Constant Time Delay Procedure on Teaching an Adult with Severe Mental Retardation a Recreation Bowling Skill. The Physical Educator. 61(2). 63–74.10 indexed citations
16.
Liu, John, et al.. (2003). The Effects of Two Types of Preperformance Routines on the Acquisition, Retention and Transfer of a Motor Skill. (Motor Behavior). Research Quarterly for Exercise and Sport. 74(1).2 indexed citations
17.
Hádemenos, George J., Murray R. Spiegel, & John Liu. (2001). Mathematical handbook of formulas and tables : based on Schaum's outline of mathematical handbook of formulas and tables by Murray R. Spiegel and John Liu. McGraw-Hill eBooks.12 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.