Carmen Bessa‐Gomes

1.3k citations
23 papers · 930 indexed · h-index 15

Carmen Bessa‐Gomes

22 papers receiving 904 citations

Peers

Carmen Bessa‐Gomes
Comparison fields: 5 of 81
  • Ecology 540
  • Ecology, Evolution, Behavior and Systematics 444
  • Genetics 195
  • Nature and Landscape Conservation 154
  • Global and Planetary Change 131
Replace Ross MacLeod with:
Ross MacLeod United Kingdom
Louise Riotte‐Lambert France
M. B. Gurung India
Ralph G. Powlesland New Zealand
Graeme Elliott New Zealand
Clare J. Veltman New Zealand
Oscar Vedder Germany
Ajith Kumar India
Breanna J. Putman United States
Kjell Wallin Sweden
Carmen Bessa‐Gomes relative to Ross MacLeod United Kingdom Ross MacLeod's profile →
Citations per field
00.5×1.5×2.4×
Ross MacLeod · 1×
Citations per year

Countries citing papers authored by Carmen Bessa‐Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Bessa‐Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Bessa‐Gomes. 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 Carmen Bessa‐Gomes. The network helps show where Carmen Bessa‐Gomes may publish in the future.

Co-authorship network of co-authors of Carmen Bessa‐Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Bessa‐Gomes. A scholar is included among the top collaborators of Carmen Bessa‐Gomes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carmen Bessa‐Gomes. Carmen Bessa‐Gomes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 17
3 17
4 3
5 0
6 9
7 15
8 1
9 47
10 1
11 126
12 43
13 8
14 147
15 64
16 28
17 151
18
Mating behaviour influences extinction risk: insights from demographic modelling and comparative analysis of avian extinction risk
22
19 12
20 16

About Carmen Bessa‐Gomes

Carmen Bessa‐Gomes is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Developmental Biology, having authored 23 papers that have together received 930 indexed citations. Recurring topics across this work include Plant and animal studies (14 papers), Animal Behavior and Reproduction (9 papers) and Wildlife Ecology and Conservation (7 papers). The work is most often cited by research in Ecological Modeling (113 citations), Ecology, Evolution, Behavior and Systematics (444 citations) and Developmental Biology (49 citations). Carmen Bessa‐Gomes has collaborated with scholars based in France, United States and Portugal. Frequent co-authors include Stéphane Legendre, Jean Clobert, François Sarrazin, Olivier Duriez, Simon Benhamou, Sophie Monsarrat, Willem Bouten, Emmanuelle Baudry, Josefa Bleu and David Laloi. Their work appears in journals such as PLoS ONE, Trends in Ecology & Evolution and The Science of The Total 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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