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.
Direct observation of the skyrmion Hall effect
2016881 citationsWei Zhang, M. Benjamin Jungfleisch et al.profile →
Countries citing papers authored by John E. Pearson
Since
Specialization
Citations
This map shows the geographic impact of John E. Pearson'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 E. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Pearson more than expected).
This network shows the impact of papers produced by John E. Pearson. 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 E. Pearson. The network helps show where John E. Pearson may publish in the future.
Co-authorship network of co-authors of John E. Pearson
This figure shows the co-authorship network connecting the top 25 collaborators of John E. Pearson.
A scholar is included among the top collaborators of John E. Pearson 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 E. Pearson. John E. Pearson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pearson, John E., et al.. (2014). An Evaluation of Raindrop Sizing and Counting Instruments. IDEALS (University of Illinois Urbana-Champaign).
11.
Schultheiß, Helmut, John E. Pearson, S. D. Bader, & Axel Hoffmann. (2012). Thermoelectric Detection of Spin Waves. Physical Review Letters. 109(23). 237204–237204.24 indexed citations
12.
Pearson, John E., Brian J. Drouin, Ken B. Cooper, & R. A. Stachnik. (2009). In situ Quantitative THz Gas Analysis. Softwaretechnik-Trends. 120.2 indexed citations
Veal, B. W., et al.. (2008). Effect of Surface Roughness on Oxidation: Changes in Scale Thickness, Composition, and Residual Stress. Bulletin of the American Physical Society.1 indexed citations
Pearson, John E., et al.. (1992). Floristic Composition and Conservation Status of Fens in Iowa. UNI ScholarWorks (University of Northern Iowa). 99. 41–52.13 indexed citations
19.
Riederer, P., N. Kopp, & John E. Pearson. (1990). An Introduction to neurotransmission in health and disease. Oxford University Press eBooks.18 indexed citations
20.
Kishi, Masashi, John E. Pearson, Solomon Batnitzky, & Robert F. Heimburger. (1978). Epidural lipoma simulating lumbar disc protrusion.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9(2). 113–5.3 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.