Edith Law
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
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- AI in Service Interactions 8
- Data Stream Mining Techniques 6
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- Mobile Crowdsensing and Crowdsourcing 21
- Co-authors
- Luis von Ahn (8 shared papers)Alex C. Williams (9 shared papers)Krzysztof Z. Gajos (4 shared papers)Joslin Goh (8 shared papers)Haoqi Zhang (2 shared papers)Mike Crawford (1 shared paper)Roger B. Dannenberg (1 shared paper)Kate Larson (7 shared papers)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (9 papers)Translational Vision Science & Technology (1 paper)AI Magazine (1 paper)Seizure (1 paper)Investigative Ophthalmology & Visual Science (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Edith Law
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Computer Science Applications 528
- Ecological Modeling 144
- Signal Processing 232
- Health Informatics 27
- Human-Computer Interaction 98
Countries citing papers authored by Edith Law
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
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.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 175 | |
| 2 | 2007 | 123 | |
| 3 | 2012 | 123 | |
| 4 | 2018 | 101 | |
| 5 | 2009 | 74 | |
| 6 | 2016 | 58 | |
| 7 | 2017 | 55 | |
| 8 | 2020 | 51 | |
| 9 | 2011 | 50 | |
| 10 | 2019 | 45 | |
| 11 | 2017 | 45 | |
| 12 | 2017 | 42 | |
| 13 | 2018 | 42 | |
| 14 | 2011 | 35 | |
| 15 | 2019 | 32 | |
| 16 | 2020 | 32 | |
| 17 | 2011 | 28 | |
| 18 | Toward Never Ending Language Learning. | 2009 | 27 |
| 19 | 2019 | 27 | |
| 20 | 2019 | 23 |
About Edith Law
Edith Law is a scholar working on Artificial Intelligence, Computer Science Applications, Social Psychology, Experimental and Cognitive Psychology and Information Systems, having authored 64 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), Species Distribution and Climate Change (4 papers), Music and Audio Processing (4 papers) and Auction Theory and Applications (4 papers). The work is most often cited by research in Computer Science Applications (528 citations), Ecological Modeling (144 citations), Signal Processing (232 citations), Health Informatics (27 citations) and Human-Computer Interaction (98 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, Mike Crawford, Roger B. Dannenberg, Kate Larson, Mike Schaekermann and Eric Horvitz. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Translational Vision Science & Technology, AI Magazine, Seizure and Investigative Ophthalmology & Visual Science.
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.