Mark Irwin

550 citations
23 papers · 272 · h-index 9

Impact in

Papers in

    • Genetic Associations and Epidemiology 6
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genetic and phenotypic traits in livestock 3
    • Bioinformatics and Genomic Networks 3

Mark Irwin

18 papers receiving 244 citations

Peers

Mark Irwin
Comparison fields: 5 of 92
  • Space and Planetary Science 7
  • Archeology 36
  • Statistics and Probability 23
  • Nature and Landscape Conservation 32
  • Paleontology 18
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Citations per year

Countries citing papers authored by Mark Irwin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mark Irwin, 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 Mark Irwin Line = papers co-authored together Mark Irwin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199757
2 199437
3 199935
4 200528
5 200425
6 199621
7 199318
8 200310
9
Importance sampling. I. Computing multimodel p values in linkage analysis.
199210
10 20036
11 20026
12 19905
13 20013
14 20063
15 19992
16
Flowers in the Landscape of Greek Epic
19971
17
Roses and the Bodies of Beautiful Women in Greek Poetry
19941
18 20031
19 20181
20 20061

About Mark Irwin

Mark Irwin is a scholar working on Genetics, Molecular Biology, Environmental Engineering, Ecology, Evolution, Behavior and Systematics and Artificial Intelligence, having authored 23 papers that have together received 272 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (3 papers), Bioinformatics and Genomic Networks (3 papers), Soil Geostatistics and Mapping (2 papers), Metabolism and Genetic Disorders (1 paper), Dental Implant Techniques and Outcomes (1 paper) and Aluminum Alloy Microstructure Properties (1 paper). The work is most often cited by research in Space and Planetary Science (7 citations), Archeology (36 citations), Statistics and Probability (23 citations), Nature and Landscape Conservation (32 citations) and Paleontology (18 citations). Mark Irwin has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include John Salmon, Augustine Kong, Nancy J. Cox, Shili Lin, Patricia G. Parker, Jennifer L. Bollmer, Nancy J. McMillan, L. Mark Berliner, Joseph A. Toljanic and Swati Biswas. Their work appears in journals such as Genetic Epidemiology, Phoenix, Bioinformatics, Test and Atmospheric Environment.

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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