Aaron Schecter

21 papers receiving 288 citations

Peers

Aaron Schecter
Comparison fields: 5 of 68
  • Health Informatics 11
  • Safety Research 55
  • Computer Science Applications 34
  • General Decision Sciences 9
  • Management Science and Operations Research 52
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Jacqueline N. Lane United States
Mochen Yang United States
Shunyuan Zhang United States
Felix Brünker Germany
Alexander Benedikt Merz Austria
Hyeokkoo Eric Kwon Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Schecter

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Schecter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 201949
3 201749
4 201636
5 202221
6 201917
7 202210
8 20208
9 20218
10 20216
11 20246
12 20224
13 20243
14 20233
15 20223
16 20173
17
How Co-creation Processes Unfold and Predict Submission Quality in Crowd-based Open Innovation
20182
18
Algorithmic Appreciation in Creative Tasks
20202
19
Algorithmic Appreciation Across Task Difficulty.
20201
20 20251

About Aaron Schecter

Aaron Schecter is a scholar working on Management Information Systems, Social Psychology, Computer Science Applications, Communication and Artificial Intelligence, having authored 23 papers that have together received 298 indexed citations. Recurring topics across this work include Open Source Software Innovations (5 papers), Big Data and Business Intelligence (3 papers), Complex Network Analysis Techniques (3 papers), Team Dynamics and Performance (3 papers), Opinion Dynamics and Social Influence (3 papers), Knowledge Management and Sharing (3 papers), Decision-Making and Behavioral Economics (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Health Informatics (11 citations), Safety Research (55 citations), Computer Science Applications (34 citations), General Decision Sciences (9 citations) and Management Science and Operations Research (52 citations). Aaron Schecter has collaborated with scholars based in United States, Germany and Philippines. Frequent co-authors include Sabine Brunswicker, Richard T. Watson, Noshir Contractor, Andrew Pilny, Marshall Scott Poole, Alice Leung, Nicholas Berente, Nina Lauharatanahirun, Eric Quintane and Matt Germonprez. Their work appears in journals such as Journal of the Association for Information Systems, Scientific Reports, MIS Quarterly, Research Policy and Organizational Research Methods.

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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