Leslie Arminski

14.9k total citations
3 papers, 32 citations indexed

About

Leslie Arminski is a scholar working on Molecular Biology, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Leslie Arminski has authored 3 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Computer Networks and Communications and 1 paper in Artificial Intelligence. Recurrent topics in Leslie Arminski's work include Bioinformatics and Genomic Networks (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Semantic Web and Ontologies (1 paper). Leslie Arminski is often cited by papers focused on Bioinformatics and Genomic Networks (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Semantic Web and Ontologies (1 paper). Leslie Arminski collaborates with scholars based in United States and Japan. Leslie Arminski's co-authors include Robert J. Dodson, Akira Tsugita, John S. Garavelli, Daniel H. Haft, B.C. ORCUTT, Roger I. Jones, G. Y. Srinivasarao, Li‐Tzu Yeh, Robert S. Ledley and W. C. Barker and has published in prestigious journals such as Nucleic Acids Research and Computerized Radiology.

In The Last Decade

Leslie Arminski

1 paper receiving 32 citations

Peers

Leslie Arminski

MB

SPECT

AI

MC

PS

Alban Chesneau United Kingdom

K. Kinoshita Japan

Lukasz Szajkowski Poland

Jason Yim United States

S. Forthmann Germany

Kouichi Kimura Japan

Helge Hecht Czechia

Abid Hasan Canada

Mark Reynolds United States

S. Misawa United States

Alban Chesneau United Kingdom

Leslie Arminski

39 ×1.3

MB

2 ×0.4

SPECT

2 ×0.5

AI

3 ×0.8

MC

1 ×0.3

PS

Citations per year, relative to Leslie Arminski Leslie Arminski (= 1×) peers Alban Chesneau

Countries citing papers authored by Leslie Arminski

Since Specialization

Citations

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

Fields of papers citing papers by Leslie Arminski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie Arminski. 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 Leslie Arminski. The network helps show where Leslie Arminski may publish in the future.

Co-authorship network of co-authors of Leslie Arminski

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Arminski. A scholar is included among the top collaborators of Leslie Arminski 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 Leslie Arminski. Leslie Arminski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Chen, Chuming, Julie Cowart, Jia Ren, et al.. (2018). Cloud-based Semantic Integration and Knowledge Discovery Systems in Precision Medicine. 542–542.

2.

Jones, Roger I., Robert J. Dodson, John S. Garavelli, et al.. (1997). The Protein Information Resource (PIR) and the PIR-International Protein Sequence Database. Nucleic Acids Research. 25(1). 24–27. 32 indexed citations

3.

Ledley, Robert S., et al.. (1983). Introduction to the operational aspects of digital fluoroscopy. Computerized Radiology. 7(1). 19–47.

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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