Greg Little

30 papers receiving 3.0k citations

Greg Little's Hit Papers

Soylent 2010 · 564 citations
5640+5+10Years since publication100200300400500

Peers

Greg Little
Comparison fields: 5 of 93
  • Computer Science Applications 2.0k
  • Human-Computer Interaction 412
  • Human Factors and Ergonomics 145
  • Information Systems and Management 273
  • Information Systems 865
Replace Walter S. Lasecki with:
Walter S. Lasecki United States
Andrew Begel United States
Mira Dontcheva United States
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Apu Kapadia United States
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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-authors

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

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

#Work
1
Soylent
Hit paper breakdown →
2010564
2
VizWiz
Hit paper breakdown →
2010490
3
VizWiz
Hit paper breakdown →
2010441
4 2010243
5 2013190
6 2009189
7 2007136
8 2006131
9 2010130
10 201591
11 201190
12 200767
13 200561
14 200656
15 201148
16 200941
17 200838
18 201027
19 200827
20 200624

About Greg Little

Greg Little is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (13 papers), Software Engineering Research (11 papers), Open Source Software Innovations (6 papers), Tactile and Sensory Interactions (3 papers), Advanced Malware Detection Techniques (3 papers), Advanced Software Engineering Methodologies (2 papers), Logic, programming, and type systems (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Computer Science Applications (2.0k citations), Human-Computer Interaction (412 citations), Human Factors and Ergonomics (145 citations), Information Systems and Management (273 citations) and Information Systems (865 citations). Greg Little has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Robert C. Miller, Max Goldman, Lydia B. Chilton, Jeffrey P. Bigham, Brandyn White, Andrew Miller, Tom Yeh, Chandrika Jayant, Michael S. Bernstein and David R. Karger. Their work appears in journals such as Education and Treatment of Children, Communications of the ACM, Automated Software Engineering, ACM Transactions on Algorithms and Journal of Bronchology & Interventional Pulmonology.

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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