Edith Law

60 papers receiving 1.4k citations

Peers

Edith Law
Comparison fields: 5 of 124
  • Computer Science Applications 520
  • Ecological Modeling 156
  • Signal Processing 233
  • Health Informatics 26
  • Human-Computer Interaction 96
Replace Catia Prandi with:
Catia Prandi Italy
Sunyoung Kim United States
Alan Chamberlain United Kingdom
Eiman Kanjo United Kingdom
Alex C. Williams United States
Pierre Dragicevic France
Alison Smith United States
Wayne G. Lutters United States
Benjamin Bach United Kingdom
Kayur Patel United States
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Citations per field
00.5×8.7×
Catia Prandi · 1×
Citations per year

Countries citing papers authored by Edith Law

Since Specialization
Citations

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

Fields of papers citing papers by Edith Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009176
2 2007124
3 2012123
4 201896
5 200973
6 201657
7 201754
8 201150
9 202050
10 201745
11 201942
12 201741
13 201840
14 201134
15 202031
16 201930
17 201128
18
Toward Never Ending Language Learning.
200927
19 201924
20 201921

About Edith Law

Edith Law is a scholar working on Computer Science Applications, Ecological Modeling, Information Systems and Management, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (21 papers), AI in Service Interactions (8 papers), Psychological and Educational Research Studies (7 papers), Social Robot Interaction and HRI (6 papers), Data Stream Mining Techniques (6 papers), Personal Information Management and User Behavior (4 papers), Music and Audio Processing (4 papers) and Species Distribution and Climate Change (4 papers). The work is most often cited by research in Computer Science Applications (520 citations), Ecological Modeling (156 citations), Signal Processing (233 citations), Health Informatics (26 citations) and Human-Computer Interaction (96 citations). Edith Law has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Luis von Ahn, Alex C. Williams, Krzysztof Z. Gajos, Joslin Goh, Haoqi Zhang, Roger B. Dannenberg, Mike Crawford, Kate Larson, Mike Schaekermann and Eric Horvitz. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, International Journal of Artificial Intelligence in Education, International Journal of Human-Computer Studies, Seizure and Neurology.

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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