Aaron J. Moss

2.0k citations
19 papers · 1.1k indexed · 2 hit papers · h-index 13
Topics
Mobile Crowdsensing and Crowdsourcing (7 papers)Social and Intergroup Psychology (5 papers)Psychology of Moral and Emotional Judgment (5 papers)

In The Last Decade

Aaron J. Moss

19 papers receiving 1.0k citations

Hit Papers

Online panels in social science research: Expanding sampl...201920262021202320192022100200300400

Peers

Aaron J. Moss
Comparison fields: 5 of 128
  • Sociology and Political Science 435
  • Social Psychology 258
  • Clinical Psychology 201
  • Cognitive Neuroscience 188
  • Experimental and Cognitive Psychology 97
Replace Cheskie Rosenzweig with:
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Aaron J. Moss relative to Cheskie Rosenzweig United States Cheskie Rosenzweig's profile →
Citations per field
00.5×1.5×
Cheskie Rosenzweig · 1×
Citations per year

Countries citing papers authored by Aaron J. Moss

Since Specialization
Citations

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

Fields of papers citing papers by Aaron J. Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron J. Moss. 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 Aaron J. Moss. The network helps show where Aaron J. Moss may publish in the future.

Co-authorship network of co-authors of Aaron J. Moss

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 17
3 32
4 12
5 10
6 10
7 4
8
Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurkbreakdown →
107
9 5
10 1
11 79
12 38
13 65
14 139
15
Online panels in social science research: Expanding sampling methods beyond Mechanical Turkbreakdown →
427
16 21
17 23
18 13
19 61

About Aaron J. Moss

Aaron J. Moss is a scholar working on Computer Science Applications, Modeling and Simulation and Safety Research, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (7 papers), Social and Intergroup Psychology (5 papers) and Psychology of Moral and Emotional Judgment (5 papers). The work is most often cited by research in Applied Psychology (94 citations), General Decision Sciences (26 citations) and Computer Science Applications (68 citations). Aaron J. Moss has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Leib Litman, Jonathan Robinson, Cheskie Rosenzweig, Jesse Chandler, Shalom Noach Jaffe, David Hauser, Chad A. Rose, Cynthia G. Simpson, Laurie T. O’Brien and Stefan Uddenberg. Their work appears in journals such as Blood, PLoS ONE and Trends in Cognitive Sciences.

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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