John Brant

857 citations
14 papers · 505 indexed · h-index 8
  • Software top 2%
    • Model-Driven Software Engineering Techniques 1
    • Digital Rights Management and Security 1
    • Software Engineering Research 1
    • Advanced Software Engineering Methodologies 1
    • Animal Nutrition and Physiology 2
  • Development top 10%
    • Genetic and phenotypic traits in livestock 2
    • Animal Genetics and Reproduction 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1

John Brant

14 papers receiving 416 citations

Peers

John Brant
Comparison fields: 5 of 75
  • Software 195
  • Information Systems 334
  • Artificial Intelligence 221
  • Animal Science and Zoology 54
  • Development 13
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Tongyu Li China
Jun-Wei Lin China
P.A.S. Olivier South Africa
Marcelo Serrano Zanetti Switzerland
Sebastian Proksch Germany
A. K. Weissinger United States
Heather J. Goldsby United States
David Stemple United States
Prateek Mishra United States
Péter Barna Netherlands
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Countries citing papers authored by John Brant

Since Specialization
Citations

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

Fields of papers citing papers by John Brant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside John Brant, 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 John Brant Line = papers co-authored together John Brant links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown

About John Brant

John Brant is a scholar working on Software, Animal Science and Zoology, Hardware and Architecture, Complementary and alternative medicine and Reproductive Medicine, having authored 14 papers that have together received 505 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (2 papers), Genetic and phenotypic traits in livestock (2 papers), Animal Genetics and Reproduction (2 papers), Model-Driven Software Engineering Techniques (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Digital Rights Management and Security (1 paper), Software Engineering Research (1 paper) and Advanced Software Engineering Methodologies (1 paper). The work is most often cited by research in Software (195 citations), Information Systems (334 citations), Artificial Intelligence (221 citations), Animal Science and Zoology (54 citations) and Development (13 citations). John Brant has collaborated with scholars based in United States and Germany. Frequent co-authors include Don Roberts, Ralph E. Johnson, A. V. Nalbandov, Earl H. Newcomer, Rowena Johnston, Brian Foote, Friedrich Steimann, Bhim Sen Savara, Philip J. Rasch and Jeffrey Prince. Their work appears in journals such as Poultry Science, IEEE Software, Journal of Heredity, Research Quarterly American Association for Health Physical Education and Recreation 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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