KM Bailey

1.4k citations
21 papers · 1.2k · h-index 16

Impact in

Papers in

KM Bailey

21 papers receiving 1.1k citations

Peers

KM Bailey
Comparison fields: 5 of 46
  • Nature and Landscape Conservation 621
  • Global and Planetary Change 1.1k
  • Oceanography 296
  • Aquatic Science 172
  • Ecology 458
Replace J. E. Carscadden with:
J. E. Carscadden Canada
Petter Fossum Norway
Lewis J. Haldorson United States
Øyvind Ulltang Norway
Erling Kåre Stenevik Norway
Kjell Rong Utne Norway
Einar M. Nilssen Norway
Patrick Ouellet Canada
Clive J. Fox United Kingdom
Pablo Brosset France
KM Bailey relative to J. E. Carscadden Canada J. E. Carscadden's profile →
Citations per field
00.5×2×4×6×7.3×
J. E. Carscadden · 1×
Citations per year

Countries citing papers authored by KM Bailey

Since Specialization
Citations

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

Fields of papers citing papers by KM Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside KM Bailey, 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 KM Bailey Line = papers co-authored together KM Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 2012129
3 2000122
4 1989109
5 199598
6 199188
7 200570
8 199055
9 200255
10 201354
11 199253
12 200952
13 199744
14 199440
15 200528
16 200220
17 201213
18 199113
19 201011
20 19957

About KM Bailey

KM Bailey is a scholar working on Global and Planetary Change, Nature and Landscape Conservation, Food Science, Oceanography and Ecology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Marine and fisheries research (21 papers), Marine Bivalve and Aquaculture Studies (14 papers), Fish Ecology and Management Studies (13 papers), Food Industry and Aquatic Biology (5 papers), Coral and Marine Ecosystems Studies (4 papers), Ocean Acidification Effects and Responses (1 paper), Oceanographic and Atmospheric Processes (1 paper) and Marine animal studies overview (1 paper). The work is most often cited by research in Nature and Landscape Conservation (621 citations), Global and Planetary Change (1.1k citations), Oceanography (296 citations), Aquatic Science (172 citations) and Ecology (458 citations). KM Bailey has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Lorenzo Ciannelli, Ron A. Heintz, F. G. Prahl, ME Hunsicker, Susan J. Picquelle, Anya L. Brown, S. Allen Macklin, Mette Skern‐Mauritzen, Manuel Hidalgo and Phyllis J. Stabeno. Their work appears in journals such as Marine Ecology Progress Series, Journal of Fish Biology and ICES Journal of Marine Science.

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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