James V. White

828 citations
29 papers · 593 · h-index 12

Impact in

    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • Bioinformatics and Genomic Networks
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Biomedical Text Mining and Ontologies
    • Gene expression and cancer classification

Papers in

James V. White

25 papers receiving 557 citations

Peers

James V. White
Comparison fields: 5 of 119
  • Molecular Biology 354
  • Oceanography 47
  • Geology 18
  • Earth-Surface Processes 16
  • Geophysics 27
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Citations per field
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Citations per year

Countries citing papers authored by James V. White

Since Specialization
Citations

This map shows the geographic impact of James V. White'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 James V. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James V. White more than expected).

Fields of papers citing papers by James V. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James V. White. 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 James V. White. The network helps show where James V. White may publish in the future.

Co-authors

The 25 scholars most cited alongside James V. White, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James V. White Line = papers co-authored together James V. White links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993156
2 1994116
3 200398
4 198337
5 199029
6
Lessons learned in the creation of a data set for hard/soft information fusion
200929
7 199819
8 199418
9 200016
10 199812
11 200311
12
The Secure Anonymised Information Linkage Databank
201611
13 20185
14 20175
15
Multi-Hypothesis Abductive Reasoning for Link Discovery
20044
16 19874
17
Statistical Evaluation of Information Distillation Systems
20083
18 20043
19 19713
20
Gravity gradiometer survey data processing
19843

About James V. White

James V. White is a scholar working on Molecular Biology, Artificial Intelligence, Civil and Structural Engineering, Mechanics of Materials and Ocean Engineering, having authored 29 papers that have together received 593 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (3 papers), Geological and Geophysical Studies (3 papers), Acoustic Wave Phenomena Research (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Methane Hydrates and Related Phenomena (2 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (354 citations), Oceanography (47 citations), Geology (18 citations), Earth-Surface Processes (16 citations) and Geophysics (27 citations). James V. White has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Temple F. Smith, Collin M. Stultz, Oliver D. King, Frederick P. Roth, Selina S. Dwight, Rebecca E. Foulger, R. V. Sailor, A. R. Lazarewicz, Ilya Muchnik and Chee-Yee Chong. Their work appears in journals such as Protein Science, Mathematical Biosciences, Journal of the Audio Engineering Society, Journal of Geophysical Research Atmospheres and Marine Geophysical Research.

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.

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