Chia‐Ying Ko

2.0k citations
34 papers · 1.4k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Chia‐Ying Ko

32 papers receiving 1.3k citations

Hit Papers

Predictors of public climate change awareness and risk perception around the world 2015 · 894 citations
8942015202620182022250500750

Peers

Chia‐Ying Ko
Comparison fields: 5 of 116
  • Management, Monitoring, Policy and Law 552
  • Ecological Modeling 83
  • Sociology and Political Science 759
  • Applied Psychology 71
  • Global and Planetary Change 289
Replace Christopher J. Lemieux with:
Christopher J. Lemieux Canada
Petina L. Pert Australia
Denise Lach United States
Jordan Tam Canada
Melissa Nursey‐Bray Australia
Jeremy Brooks United States
Jan McDonald Australia
Emma Stewart New Zealand
Margaret Gooch Australia
Jeffrey L. Marion United States
Chia‐Ying Ko relative to Christopher J. Lemieux Canada Christopher J. Lemieux's profile →
Citations per field
00.5×2.5×
Christopher J. Lemieux · 1×
Citations per year

Countries citing papers authored by Chia‐Ying Ko

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ying Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Ying Ko. 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 Chia‐Ying Ko. The network helps show where Chia‐Ying Ko may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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Identifying biodiversity hotspots by predictive models: a case study using Taiwan's endemic bird species.
200929

About Chia‐Ying Ko

Chia‐Ying Ko is a scholar working on Ecological Modeling, Nature and Landscape Conservation, Ecology, Oceanography and Global and Planetary Change, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (9 papers), Marine and coastal ecosystems (9 papers), Ecology and Vegetation Dynamics Studies (8 papers), Marine and fisheries research (8 papers), Wildlife Ecology and Conservation (6 papers), Coral and Marine Ecosystems Studies (5 papers), Marine Biology and Ecology Research (5 papers) and Marine animal studies overview (4 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (552 citations), Ecological Modeling (83 citations), Sociology and Political Science (759 citations), Applied Psychology (71 citations) and Global and Planetary Change (289 citations). Chia‐Ying Ko has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Peter D. Howe, Tien Ming Lee, Ezra M. Markowitz, Anthony Leiserowitz, Pei-Fen Lee, Fuh‐Kwo Shiah, Ruey‐Shing Lin, Jen‐Hua Tai, Terry L. Root and Chih‐hao Hsieh. Their work appears in journals such as Frontiers in Marine Science, Marine and Freshwater Research, Nature Climate Change, Environmental Research Letters and Zoological studies.

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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