Robert Slade

27 papers receiving 2.8k citations

Hit Papers

Genetic assignment methods for the direct, real‐time estimation of migration rate: a simulation‐based exploration of accuracy and power 2003 · 1.3k citations
1.3k20032026201020184008001.2k

Peers

Robert Slade
Comparison fields: 5 of 100
  • Developmental Biology 114
  • Ecology 1.3k
  • Genetics 1.3k
  • Nature and Landscape Conservation 466
  • Parasitology 194
Replace Simon J. Goodman with:
Simon J. Goodman United Kingdom
Gilles Seutin Canada
David T. Parkin United Kingdom
Peter Arctander Denmark
Jeremy J. Austin Australia
Truls Moum Norway
Philip J. Baker United Kingdom
Paul L. Leberg United States
Conrad A. Matthee South Africa
Howard A. Ross New Zealand
Robert Slade relative to Simon J. Goodman United Kingdom Simon J. Goodman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Slade

Since Specialization
Citations

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

Fields of papers citing papers by Robert Slade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic assignment methods for the direct, real‐time estimation of migration rate: a simulation‐based exploration of accuracy and power
Hit paper breakdown →
20031273
2 1993165
3 1992162
4 1994160
5 1994103
6 1998101
7 200095
8 199295
9 199892
10 200174
11 200369
12 199967
13 199863
14 199750
15 200541
16 200938
17 200538
18 201630
19 200028
20 201728

About Robert Slade

Robert Slade is a scholar working on Developmental Biology, Parasitology, Oceanography, Ecology and Immunology, having authored 27 papers that have together received 2.9k indexed citations. Recurring topics across this work include Marine animal studies overview (7 papers), Genetic diversity and population structure (5 papers), Animal Vocal Communication and Behavior (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Underwater Acoustics Research (4 papers), Genomics and Phylogenetic Studies (3 papers) and Identification and Quantification in Food (3 papers). The work is most often cited by research in Developmental Biology (114 citations), Ecology (1.3k citations), Genetics (1.3k citations), Nature and Landscape Conservation (466 citations) and Parasitology (194 citations). Robert Slade has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David Paetkau, Michael Burden, Arnaud Estoup, Craig Moritz, Hamish McCallum, P. T. Hale, Harry R. Burton, A. Rus Hoelzel, J. L. Bannister and C. Scott Baker. Their work appears in journals such as Molecular Ecology, Proceedings of the Royal Society B Biological Sciences, Marine Pollution Bulletin, Molecular Biology and Evolution and Genetics.

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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