Helen Bayliss

1.2k citations
22 papers · 869 indexed · h-index 16

Helen Bayliss

22 papers receiving 833 citations

Peers

Helen Bayliss
Comparison fields: 5 of 122
  • Ecological Modeling 123
  • Nature and Landscape Conservation 197
  • Ecology 344
  • Global and Planetary Change 219
  • Statistics, Probability and Uncertainty 48
Replace Jessica J. Taylor with:
Jessica J. Taylor Canada
Barbara Livoreil France
John T. Hunter Australia
Gorm E. Shackelford United Kingdom
Sini Savilaakso Finland
Tom Finch United Kingdom
Raja K. Iyer United Kingdom
Paul Woodcock United Kingdom
Jessica C. Walsh Australia
Andrew J. Felton United States
Helen Bayliss relative to Jessica J. Taylor Canada Jessica J. Taylor's profile →
Citations per field
00.5×2.8×
Jessica J. Taylor · 1×
Citations per year

Countries citing papers authored by Helen Bayliss

Since Specialization
Citations

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

Fields of papers citing papers by Helen Bayliss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201823
2 201732
3 201716
4 20168
5 201641
6 201616
7 2015122
8 20158
9 201543
10 201558
11 20153
12 20153
13 201436
14 201329
15 201236
16
The PIRICOM study : a systematic review of the conceptualisation, measurement, impact and outcomes of patients and public involvement in health and social care research
2010118
17 200950
18 2009100
19
What are the effects of salmonid stocking in lakes on native fish populations and other fauna and flora? Part A: Effects on native biota.
20071
20 20005

About Helen Bayliss

Helen Bayliss is a scholar working on Ecological Modeling, Issues, ethics and legal aspects and Statistics, Probability and Uncertainty, having authored 22 papers that have together received 869 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (5 papers), Forest Insect Ecology and Management (3 papers), Meta-analysis and systematic reviews (3 papers), Economic and Environmental Valuation (2 papers), Animal Ecology and Behavior Studies (2 papers), Mosquito-borne diseases and control (2 papers), Fish Ecology and Management Studies (2 papers) and Climate Change Communication and Perception (2 papers). The work is most often cited by research in Ecological Modeling (123 citations), Nature and Landscape Conservation (197 citations) and Ecology (344 citations). Helen Bayliss has collaborated with scholars based in United Kingdom, Sweden and Austria. Frequent co-authors include Neal Haddaway, Gavin Stewart, Andrew S. Pullin, Clive Potter, David A. Showler, Jo Brett, Sophie Staniszewska, Kate Seers, Carole Mockford and Sandra Herron‐Marx. Their work appears in journals such as Environmental Evidence, Frontiers in Ecology and the Environment, Biological Invasions, Research Synthesis Methods and Diversity and Distributions.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026