Emily Green

689 citations
21 papers · 448 · h-index 10

Impact in

Papers in

    • Paleontology and Evolutionary Biology 2
    • Evolution and Paleontology Studies 2
    • Paleontology and Stratigraphy of Fossils 2
    • Child Development and Digital Technology 3
    • Online and Blended Learning 2

Emily Green

17 papers receiving 433 citations

Peers

Emily Green
Comparison fields: 5 of 95
  • Paleontology 125
  • Computer Science Applications 61
  • Polymers and Plastics 93
  • Oceanography 41
  • Atmospheric Science 44
Replace David Gil with:
David Gil Germany
Lizhao Zhang China
Zhongying Zhang China
Raquel Maria Israel
Ulrich Lehmann Germany
Guillaume Müller France
Zinovi Matskevich Israel
Nino Jakeli Israel
Hoil Lee South Korea
Pamela B. Vandiver United States
Emily Green relative to David Gil Germany David Gil's profile →
Citations per field
00.5×6.8×
David Gil · 1×
Citations per year

Countries citing papers authored by Emily Green

Since Specialization
Citations

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

Fields of papers citing papers by Emily Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013193
2 201961
3 202159
4 201940
5 201923
6 202016
7 202113
8 202110
9 20049
10 20239
11 20236
12 20212
13 20232
14 20182
15
Unpacking the Meat Industry: Changes in the meat supply chain have brought benefits, but are vulnerabilities a cause for concern?
20201
16 20141
17 20181
18 20230
19 20210
20 20230

About Emily Green

Emily Green is a scholar working on Paleontology, Education, Computer Science Applications, Gender Studies and Information Systems, having authored 21 papers that have together received 448 indexed citations. Recurring topics across this work include Teaching and Learning Programming (5 papers), Child Development and Digital Technology (3 papers), Gender and Technology in Education (3 papers), Online and Blended Learning (2 papers), Paleontology and Evolutionary Biology (2 papers), Evolution and Paleontology Studies (2 papers), Innovative Teaching and Learning Methods (2 papers) and Paleontology and Stratigraphy of Fossils (2 papers). The work is most often cited by research in Paleontology (125 citations), Computer Science Applications (61 citations), Polymers and Plastics (93 citations), Oceanography (41 citations) and Atmospheric Science (44 citations). Emily Green has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Navid Tajaddod, Jiangsha Meng, Yiying Zhang, Kenan Song, Heng Li, Marilyn L. Minus, Jill Denner, Shannon Campe, David Torres and Philip R. Wilby. Their work appears in journals such as Computer Science Education, Community College Review, Materials, Current Biology and Nature Communications.

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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