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.
Long-term Risk of CKD in Children Surviving Episodes of Acute Kidney Injury in the Intensive Care Unit: A Prospective Cohort Study
Countries citing papers authored by Daniel S. Levine
Since
Specialization
Citations
This map shows the geographic impact of Daniel S. Levine'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 Daniel S. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Levine more than expected).
Fields of papers citing papers by Daniel S. Levine
This network shows the impact of papers produced by Daniel S. Levine. 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 Daniel S. Levine. The network helps show where Daniel S. Levine may publish in the future.
Co-authorship network of co-authors of Daniel S. Levine
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Levine.
A scholar is included among the top collaborators of Daniel S. Levine 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 Daniel S. Levine. Daniel S. Levine is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Levine, Daniel S., et al.. (2013). A review of the certainty effect and influence of information processing. SHILAP Revista de lepidopterología.1 indexed citations
Levine, Daniel S.. (2008). Neural networks of human nature and nurture. SHILAP Revista de lepidopterología.3 indexed citations
9.
Huang, De-Shuang, Donald C. Wunsch, Daniel S. Levine, & Kang-Hyun Jo. (2008). Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence: Fourth International Conference on Intelligent Computing. 1251–1251.2 indexed citations
10.
Huang, De-Shuang, Donald C. Wunsch, Daniel S. Levine, & Kang-Hyun Jo. (2008). Advanced Intelligent Computing Theories and Applications With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on ... in Computer and Information Science). Springer eBooks.1 indexed citations
Levine, Daniel S.. (1998). Disease: neural network models. MIT Press eBooks. 315–318.1 indexed citations
14.
Levine, Daniel S.. (1990). ART 1.5 - A Simplified Adaptive Resonance Network for Classifying Low-dimensional Analog Data. Medical Entomology and Zoology. 2. 639–642.12 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.