Iván Sazima

9.3k citations
298 papers · 6.6k · h-index 46

Impact in

Papers in

Iván Sazima

291 papers receiving 6.1k citations

Peers

Iván Sazima
Comparison fields: 5 of 112
  • Nature and Landscape Conservation 2.9k
  • Ecology, Evolution, Behavior and Systematics 2.7k
  • Ecological Modeling 510
  • Aquatic Science 843
  • Global and Planetary Change 2.4k
Replace Indraneil Das with:
Indraneil Das Malaysia
Xavier Bonnet France
Kim T. Scribner United States
J. Scott Keogh Australia
Thomas Madsen Australia
W. Chris Funk United States
Luca Luiselli Italy
Jonathan D. Ballou United States
Jean‐Marc Hero Australia
J. Andrew DeWoody United States
Iván Sazima relative to Indraneil Das Malaysia Indraneil Das's profile →
Citations per field
00.5×2.7×
Indraneil Das · 1×
Citations per year

Countries citing papers authored by Iván Sazima

Since Specialization
Citations

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

Fields of papers citing papers by Iván Sazima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 298 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000187
2 1986172
3 2000171
4
Ecological and phylogenetic correlates of feeding habits in neotropical pitvipers of the genus Bothrops
2002161
5 2005149
6 2011132
7 2011127
8 1996126
9 1990113
10 2005108
11 1978106
12 2000102
13 199395
14 200691
15 200885
16 201083
17 199576
18 198376
19 201975
20 199474

About Iván Sazima

Iván Sazima is a scholar working on Nature and Landscape Conservation, Ecology, Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Aquatic Science, having authored 298 papers that have together received 6.6k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (68 papers), Ichthyology and Marine Biology (65 papers), Plant and animal studies (64 papers), Fish biology, ecology, and behavior (63 papers), Coral and Marine Ecosystems Studies (40 papers), Marine and fisheries research (34 papers), Fish Biology and Ecology Studies (33 papers) and Avian ecology and behavior (31 papers). The work is most often cited by research in Nature and Landscape Conservation (2.9k citations), Ecology, Evolution, Behavior and Systematics (2.7k citations), Ecological Modeling (510 citations), Aquatic Science (843 citations) and Global and Planetary Change (2.4k citations). Iván Sazima has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Marlies Sazima, Silvana Buzato, Cristina Sazima, Paula Cabral Eterovick, Otávio Augusto Vuolo Marques, Rodrigo L. Moura, Marcio Roberto Martins, Célio F. B. Haddad, Roberta M. Bonaldo and João Paulo Krajewski. Their work appears in journals such as Neotropical Ichthyology, Biotropica, Zootaxa, Journal of Herpetology and Coral Reefs.

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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