John E. Allen

1.2k citations
16 papers · 1k · h-index 9

Impact in

    • Protein Structure and Dynamics
    • Chemical Synthesis and Analysis
    • Bioinformatics and Genomic Networks
    • Protein Kinase Regulation and GTPase Signaling
    • Machine Learning in Bioinformatics

Papers in

John E. Allen

16 papers receiving 959 citations

Peers

John E. Allen
Comparison fields: 5 of 105
  • Molecular Biology 463
  • Human-Computer Interaction 53
  • Social Psychology 102
  • Artificial Intelligence 123
  • Parasitology 16
Replace Alberto Labarga with:
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Citations per field
00.5×5×10×13.3×
Alberto Labarga · 1×
Citations per year

Countries citing papers authored by John E. Allen

Since Specialization
Citations

This map shows the geographic impact of John E. Allen'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. Allen 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. Allen more than expected).

Fields of papers citing papers by John E. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Allen. 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. Allen. The network helps show where John E. Allen may publish in the future.

Co-authors

The 25 scholars most cited alongside John E. Allen, 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 John E. Allen Line = papers co-authored together John E. Allen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999324
2 2007317
3 2008117
4 201066
5 200143
6 200738
7 201736
8 202219
9 201417
10 20068
11 20078
12 19647
13 20052
14
Fluid areas of the verb in modern written Russian : a study in computational linguistics
19691
15
Caring for Julie.
19881
16
Managing collaboration in hybrid-agent teams
20071

About John E. Allen

John E. Allen is a scholar working on Artificial Intelligence, Molecular Biology, Pharmacy, Endocrinology and Human-Computer Interaction, having authored 16 papers that have together received 1k indexed citations. Recurring topics across this work include Speech and dialogue systems (2 papers), Protein Structure and Dynamics (2 papers), Natural Language Processing Techniques (2 papers), Geriatric Care and Nursing Homes (1 paper), Nursing care and research (1 paper), Linguistic research and analysis (1 paper), Usability and User Interface Design (1 paper) and Insects and Parasite Interactions (1 paper). The work is most often cited by research in Molecular Biology (463 citations), Human-Computer Interaction (53 citations), Social Psychology (102 citations), Artificial Intelligence (123 citations) and Parasitology (16 citations). John E. Allen has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Curry I. Guinn, Gavin MacBeath, Michael Allen Stiffler, Viara Grantcharova, Ying Lei, Mary Elizabeth Wilson, Mark L. Eberhard, Ethan S. Karp, Alexis Kaushansky and Andrew G. Gordus. Their work appears in journals such as Clinical Infectious Diseases, Molecular Endocrinology, Biochemical and Biophysical Research Communications, Science and npj Systems Biology and Applications.

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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