Jennifer Rubis

14 total papers · 3.4k total citations
2 papers, 317 citations indexed

About

Jennifer Rubis is a scholar working on Sociology and Political Science, General Health Professions and Global and Planetary Change. According to data from OpenAlex, Jennifer Rubis has authored 2 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 1 paper in General Health Professions and 1 paper in Global and Planetary Change. Recurrent topics in Jennifer Rubis's work include Climate Change Communication and Perception (2 papers), Climate Change, Adaptation, Migration (1 paper) and Indigenous Studies and Ecology (1 paper). Jennifer Rubis is often cited by papers focused on Climate Change Communication and Perception (2 papers), Climate Change, Adaptation, Migration (1 paper) and Indigenous Studies and Ecology (1 paper). Jennifer Rubis collaborates with scholars based in Germany, Canada and Spain. Jennifer Rubis's co-authors include Laura Cameron, Michelle Maillet, Ashlee Cunsolo, Tristan Pearce, James D. Ford, Douglas Nakashima, Ben Orlove, Pasang Yangjee Sherpa, Neil Dawson and Ibidun Adelekan and has published in prestigious journals such as Nature Climate Change and AMBIO.

In The Last Decade

Jennifer Rubis

2 papers receiving 307 citations

Hit Papers

Including indigenous know... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Rubis 160 120 88 45 40 2 317
Preston Hardison 99 0.6× 100 0.8× 103 1.2× 60 1.3× 56 1.4× 7 335
Garrit Voggesser 98 0.6× 82 0.7× 108 1.2× 31 0.7× 81 2.0× 7 297
Vyacheslav Shadrin 111 0.7× 77 0.6× 64 0.7× 47 1.0× 38 0.9× 10 265
Jennifer Fresque-Baxter 163 1.0× 78 0.7× 59 0.7× 62 1.4× 35 0.9× 7 291
Noel Oettlé 81 0.5× 86 0.7× 45 0.5× 44 1.0× 51 1.3× 13 298
Chie Sakakibara 154 1.0× 82 0.7× 112 1.3× 53 1.2× 46 1.1× 12 321
C. High 138 0.9× 76 0.6× 53 0.6× 43 1.0× 16 0.4× 9 331
Inger Marie Gaup Eira 119 0.7× 45 0.4× 197 2.2× 80 1.8× 59 1.5× 7 316
Darryll R. Johnson 65 0.4× 112 0.9× 49 0.6× 50 1.1× 111 2.8× 8 305
Anna Bunce 117 0.7× 78 0.7× 50 0.6× 22 0.5× 9 0.2× 7 253

Countries citing papers authored by Jennifer Rubis

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Rubis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Rubis

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Rubis. A scholar is included among the top collaborators of Jennifer Rubis 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 Jennifer Rubis. Jennifer Rubis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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