David Schibeci

524 citations
15 papers · 402 · h-index 8

Impact in

Papers in

David Schibeci

14 papers receiving 390 citations

Peers

David Schibeci
Comparison fields: 5 of 59
  • Small Animals 98
  • Parasitology 50
  • Plant Science 184
  • Agronomy and Crop Science 32
  • Insect Science 28
Replace Neetu Singh with:
Neetu Singh India
M. A. Abouheif Saudi Arabia
M. Malek United States
Dave J Seymour Canada
Muhammed Walugembe United States
Mingfa Lv China
Wenwei Gao China
Lata Jain India
Stewart W Bauck United States
D. Flock Germany
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Citations per field
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Citations per year

Countries citing papers authored by David Schibeci

Since Specialization
Citations

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

Fields of papers citing papers by David Schibeci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004147
2 200981
3 201151
4 201045
5 200127
6 201020
7
Grendel: a bioinformatics web service-based architecture for accessing HPC resources
200511
8 20068
9
Web-based processing of remote sensing data in a workflows environment
20113
10
Ensemble dust detection techniques utilising a web-based workflow environment linked to a high performance computing system
20113
11
An information system for whole genome data
19992
12
Applying artificial neural networks to the classification of wheat varieties processed via MALDI-TOF mass spectrometry
20011
13
WWW issues for conducting sophisticated Bioinformatics analysis
20011
14
A consensus molecular genetic map of barley
20041
15
CattleTickBase: Internet-based analysis tools and bioinformatics repository of available genomics resources for Rhipicephalus (Boophilus) microplus.
20111

About David Schibeci

David Schibeci is a scholar working on Information Systems and Management, Small Animals, Molecular Biology, Plant Science and Parasitology, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Genomics and Phylogenetic Studies (2 papers), Identification and Quantification in Food (2 papers), Distributed and Parallel Computing Systems (2 papers), Gene expression and cancer classification (2 papers), RNA and protein synthesis mechanisms (2 papers), Veterinary medicine and infectious diseases (2 papers) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Small Animals (98 citations), Parasitology (50 citations), Plant Science (184 citations), Agronomy and Crop Science (32 citations) and Insect Science (28 citations). David Schibeci has collaborated with scholars based in Australia, Thailand and Japan. Frequent co-authors include M. Bellgard, Adam A. Hunter, Paula Moolhuijzen, Roberto A. Barrero, Rudi Appels, Jun Wang, Yong Zhang, Peixiang Ni, Heng Li and Mehmet Çakır. Their work appears in journals such as Functional & Integrative Genomics, PLoS ONE, International Journal for Parasitology, Genome and Journal of Molecular Evolution.

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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