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.
Accelerated search for materials with targeted properties by adaptive design
2016602 citationsDezhen Xue, Prasanna V. Balachandran et al.Nature Communicationsprofile →
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 Hogden'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 Hogden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hogden more than expected).
This network shows the impact of papers produced by John Hogden. 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 Hogden. The network helps show where John Hogden may publish in the future.
Co-authorship network of co-authors of John Hogden
This figure shows the co-authorship network connecting the top 25 collaborators of John Hogden.
A scholar is included among the top collaborators of John Hogden 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 Hogden. John Hogden is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
17 of 17 papers shown
1.
Hogden, John. (2023). Speech processing using maximum likelihood continuity mapping. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
2.
Lookman, Turab, et al.. (2016). Learning targeted materials properties from data. Bulletin of the American Physical Society. 2016.1 indexed citations
3.
Xue, Dezhen, Prasanna V. Balachandran, John Hogden, et al.. (2016). Accelerated search for materials with targeted properties by adaptive design. Nature Communications. 7(1). 11241–11241.602 indexed citations breakdown →
Hogden, John, et al.. (2000). STOCHASTIC ARTICULATORY-TO-ACOUSTIC MAPPING AS A BASIS FOR SPEECH RECOGNITION. University of North Texas Digital Library (University of North Texas).2 indexed citations
10.
Nix, David A. & John Hogden. (1998). Maximum-Likelihood Continuity Mapping (MALCOM): An Alternative to HMMs. University of North Texas Digital Library (University of North Texas). 11. 744–750.5 indexed citations
Hogden, John. (1991). Low-dimensional phoneme mapping using a continuity constraint.2 indexed citations
17.
Buck, Steven L., et al.. (1985). Why rod cone interactions?. Annual Meeting Optical Society of America. TUZ1–TUZ1.1 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.