Simon Porter

24 papers receiving 583 citations

Peers

Simon Porter
Comparison fields: 5 of 150
  • Animal Science and Zoology 175
  • Statistics, Probability and Uncertainty 82
  • Information Systems and Management 71
  • Health Informatics 10
  • Small Animals 41
Replace Vladimir Trukhachev with:
Vladimir Trukhachev Russia
Lilin Yin China
Manoj Kumar Verma India
Θεοδόσιος Θεοδοσίου Greece
Nicole Foeger Austria
Ross Perry Australia
Charlotte Ford United States
Patricia Pulliam Phillips United States
Eun-Kyung Shin South Korea
Tanya MacLaurin Canada
Simon Porter relative to Vladimir Trukhachev Russia Vladimir Trukhachev's profile →
Citations per field
00.5×5.9×
Vladimir Trukhachev · 1×
Citations per year

Countries citing papers authored by Simon Porter

Since Specialization
Citations

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

Fields of papers citing papers by Simon Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018184
2 1990112
3 199265
4 201664
5 202132
6
Investigating Data Management Practices in Australian Universities
200831
7 202129
8 202022
9 202017
10 202216
11 199015
12 201811
13 201810
14 20246
15 20216
16 20224
17 20233
18
Building an Australian user community for VIVO
20102
19 20182
20
Building an Australian User Community for Vivo: Profiling Research Data for the Australian National Data Service
20101

About Simon Porter

Simon Porter is a scholar working on Information Systems, Molecular Biology, Information Systems and Management, Statistics, Probability and Uncertainty and Small Animals, having authored 28 papers that have together received 636 indexed citations. Recurring topics across this work include Research Data Management Practices (9 papers), scientometrics and bibliometrics research (4 papers), Scientific Computing and Data Management (3 papers), Animal Behavior and Welfare Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Meat and Animal Product Quality (3 papers), Astro and Planetary Science (3 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Animal Science and Zoology (175 citations), Statistics, Probability and Uncertainty (82 citations), Information Systems and Management (71 citations), Health Informatics (10 citations) and Small Animals (41 citations). Simon Porter has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Daniel Hook, Christian Herzog, M. Enser, N. D. Cameron, P. D. Warriss, C B Moncrieff, J.D. Wood, S.A. Edwards, Hélène Draux and Garry Laverty. Their work appears in journals such as Animal Science, Scientific Reports, Meat Science, Current Medicinal Chemistry and European Journal of Pharmaceutics and Biopharmaceutics.

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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