Anthony Kosky

434 citations
15 papers · 139 · h-index 8

Impact in

Papers in

Anthony Kosky

15 papers receiving 121 citations

Peers

Anthony Kosky
Comparison fields: 5 of 30
  • Information Systems and Management 31
  • Computer Networks and Communications 66
  • Artificial Intelligence 82
  • Signal Processing 19
  • Information Systems 28
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Simon Schenk Germany
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Citations per field
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Citations per year

Countries citing papers authored by Anthony Kosky

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Kosky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Anthony Kosky, 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 Anthony Kosky Line = papers co-authored together Anthony Kosky links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200128
2
An evaluation of ontology exchange languages for bioinformatics.
200022
3 200218
4 199212
5
Advanced query mechanisms for biological databases.
199811
6
Transforming databases with recursive data structures
199610
7 20029
8
Seamless integration of biological applications within a database framework.
19999
9 19946
10
Facilities for exploring molecular biology databases on the Web: a comparative study.
19975
11 19953
12
Specifying Database Transformations in WOL.
19992
13
Modeling and Merging Database Schemas
19912
14
Effecting Database Transformations Using Morphase
19961
15 19971

About Anthony Kosky

Anthony Kosky is a scholar working on Computer Networks and Communications, Artificial Intelligence, Molecular Biology, Signal Processing and Information Systems and Management, having authored 15 papers that have together received 139 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Semantic Web and Ontologies (6 papers), Data Management and Algorithms (5 papers), Biomedical Text Mining and Ontologies (5 papers), Scientific Computing and Data Management (4 papers), Service-Oriented Architecture and Web Services (3 papers), Algorithms and Data Compression (3 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Information Systems and Management (31 citations), Computer Networks and Communications (66 citations), Artificial Intelligence (82 citations), Signal Processing (19 citations) and Information Systems (28 citations). Anthony Kosky has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Susan B. Davidson, Barbara Eckman, Victor Markowitz, Thodoros Topaloglou, Ernest Szeto, Peter Buneman, I‐Ming Chen, Neil F. Abernethy, Gregg Helt and Suzanna Lewis. Their work appears in journals such as Bioinformatics, Electronic workshops in computing, Edinburgh Research Explorer, IEEE Data(base) Engineering Bulletin and PubMed.

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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