Nathaniel Poor

1000 citations
31 papers · 722 · h-index 15

Impact in

Papers in

    • Digital Games and Media 14
    • Digital Marketing and Social Media 6
    • Impact of Technology on Adolescents 5
    • Socioeconomic Development in Asia 3
    • Social Media and Politics 10
    • Media Studies and Communication 4

Nathaniel Poor

29 papers receiving 637 citations

Peers

Nathaniel Poor
Comparison fields: 5 of 74
  • Communication 329
  • Management Information Systems 116
  • Marketing 85
  • Sociology and Political Science 403
  • Statistical and Nonlinear Physics 96
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Citations per field
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Citations per year

Countries citing papers authored by Nathaniel Poor

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Poor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Nathaniel Poor, 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 Nathaniel Poor Line = papers co-authored together Nathaniel Poor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012118
2 2006100
3 201484
4 201361
5 201346
6 200640
7 201538
8 200429
9 201823
10 201222
11 200621
12 201421
13 202120
14 201120
15 200916
16 201410
17 20079
18 20228
19 20227
20
The Ethics of Using Hacked Data: Patreon’s Data Hack and Academic Data Standards
20186

About Nathaniel Poor

Nathaniel Poor is a scholar working on Sociology and Political Science, Communication, Marketing, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 31 papers that have together received 722 indexed citations. Recurring topics across this work include Digital Games and Media (14 papers), Social Media and Politics (10 papers), Digital Marketing and Social Media (6 papers), Impact of Technology on Adolescents (5 papers), Media Studies and Communication (4 papers), Complex Network Analysis Techniques (4 papers), Socioeconomic Development in Asia (3 papers) and Sharing Economy and Platforms (3 papers). The work is most often cited by research in Communication (329 citations), Management Information Systems (116 citations), Marketing (85 citations), Sociology and Political Science (403 citations) and Statistical and Nonlinear Physics (96 citations). Nathaniel Poor has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Marko M. Škorić, Roei Davidson, Palakorn Achananuparp, Jing Jiang, Ee‐Peng Lim, Nojin Kwak, Kelly Bergstrom, Ann E. Williams, Rob Davidson and Allan M. Williams. Their work appears in journals such as Journal of Computer-Mediated Communication, International journal of communication, The Information Society, Information Communication & Society and New Media & Society.

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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