Greg Little

4.0k citations
28 papers · 2.9k indexed · 3 hit papers · h-index 20

Greg Little

28 papers receiving 2.7k citations

Hit Papers

Soylent5122010202620152020100200300400500

Peers

Greg Little
Comparison fields: 5 of 95
  • Computer Science Applications 1.8k
  • Human-Computer Interaction 371
  • Human Factors and Ergonomics 135
  • Information Systems 772
  • Information Systems and Management 230
Replace Walter S. Lasecki with:
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Citations per field
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Citations per year

Countries citing papers authored by Greg Little

Since Specialization
Citations

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

Fields of papers citing papers by Greg Little

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Human ocr: Insights from a complex human computation process
201111
2 201143
3
Beyond independent agreement: a tournament selection approach for quality assurance of human computation tasks
201118
4 2010220
5 2010433
6 2010512
7 2010409
8 20107
9 200919
10 200930
11 200834
12 200826
13 20075
14 200763
15 200650
16 2006113
17 200618
18 200551
19 20054
20
Increased Response Rate in Special Education Children Following an Abrupt Reduction in Time Limit in the Absence of a Token Economy.
198214

About Greg Little

Greg Little is a scholar working on Computer Science Applications, Human-Computer Interaction, Information Systems, Human Factors and Ergonomics and Software, having authored 28 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (13 papers), Software Engineering Research (10 papers), Open Source Software Innovations (6 papers), Tactile and Sensory Interactions (3 papers), Spam and Phishing Detection (2 papers), Gaze Tracking and Assistive Technology (2 papers), Topic Modeling (2 papers) and Logic, programming, and type systems (2 papers). The work is most often cited by research in Computer Science Applications (1.8k citations), Human-Computer Interaction (371 citations), Human Factors and Ergonomics (135 citations), Information Systems (772 citations) and Information Systems and Management (230 citations). Greg Little has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Robert C. Miller, Max Goldman, Lydia B. Chilton, Jeffrey P. Bigham, Andrew Miller, Tom Yeh, Chandrika Jayant, Brandyn White, Michael S. Bernstein and David R. Karger. Their work appears in journals such as ACM Transactions on Algorithms, Communications of the ACM, Automated Software Engineering, Education and Treatment of Children and Symposium on Discrete Algorithms.

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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