Seán Kelly

1.3k citations
54 papers · 951 indexed · h-index 13

Seán Kelly

51 papers receiving 855 citations

Peers

Seán Kelly
Comparison fields: 5 of 141
  • Information Systems and Management 59
  • Cell Biology 138
  • Molecular Biology 483
  • Physiology 26
  • Cellular and Molecular Neuroscience 76
Replace Andrew Morin with:
Andrew Morin United States
Christian Panse Switzerland
Yukiko Matsuoka Japan
Friedrich Reinhard Germany
Michael Fuller United States
Vibhor Gupta India
Fedor Kolpakov Russia
Stefan Grüner Germany
Sanne Abeln Netherlands
Soonyoung Jung South Korea
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Citations per year

Countries citing papers authored by Seán Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Seán Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202015
3 201715
4 20173
5 201418
6 201134
7 200915
8 20091
9
Transformation of OODT CAS to Perform Larger Tasks
20081
10 20071
11 200712
12
A Data Grid Framework for Sharing Data Across Distributed Heterogeneous Repositories
20030
13
Deploying Object Oriented Data Technology to the Planetary Data System
20032
14 20034
15 20031
16 20023
17 20024
18
Science Search and Retrieval Using XML
20006
19 1985112
20 1982138

About Seán Kelly

Seán Kelly is a scholar working on Information Systems and Management, Hardware and Architecture and Computer Networks and Communications, having authored 54 papers that have together received 951 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (14 papers), Distributed and Parallel Computing Systems (13 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Parallel Computing and Optimization Techniques (4 papers), Silicon Carbide Semiconductor Technologies (4 papers), Radio Frequency Integrated Circuit Design (3 papers), Biomedical Text Mining and Ontologies (3 papers) and VLSI and Analog Circuit Testing (3 papers). The work is most often cited by research in Information Systems and Management (59 citations), Cell Biology (138 citations) and Molecular Biology (483 citations). Seán Kelly has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Qais Al‐Awqati, Jonathan N. Glickman, Stephen L. Gluck, Naresh Thadhani, Janet van Adelsberg, Christopher P. Cannon, Mark R. Prausnitz, Daniel Crichton, A. R. Davis and M. O'Neill. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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