Edith Law

2.5k total citations
62 papers, 1.5k citations indexed

About

Edith Law is a scholar working on Artificial Intelligence, Computer Science Applications and Social Psychology. According to data from OpenAlex, Edith Law has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Computer Science Applications and 11 papers in Social Psychology. Recurrent topics in Edith Law's work include Mobile Crowdsensing and Crowdsourcing (21 papers), AI in Service Interactions (8 papers) and Psychological and Educational Research Studies (7 papers). Edith Law is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (21 papers), AI in Service Interactions (8 papers) and Psychological and Educational Research Studies (7 papers). Edith Law collaborates with scholars based in Canada, United States and Australia. Edith Law's 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 and has published in prestigious journals such as Neurology, Philosophical Transactions of the Royal Society B Biological Sciences and New Phytologist.

In The Last Decade

Edith Law

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edith Law Canada 20 520 464 296 233 156 62 1.5k
Paul Roe Australia 30 243 0.5× 120 0.3× 166 0.6× 779 3.3× 304 1.9× 193 3.2k
Miriah Meyer United States 30 47 0.1× 380 0.8× 1.5k 4.9× 156 0.7× 132 0.8× 69 2.6k
Andrew Vande Moere Belgium 27 193 0.4× 197 0.4× 1.2k 4.2× 126 0.5× 52 0.3× 143 2.8k
Wayne G. Lutters United States 22 133 0.3× 201 0.4× 209 0.7× 99 0.4× 19 0.1× 86 1.3k
Pierre Dragicevic France 27 60 0.1× 480 1.0× 1.6k 5.5× 306 1.3× 62 0.4× 59 2.4k
Gunnar Stevens Germany 23 187 0.4× 185 0.4× 141 0.5× 21 0.1× 21 0.1× 151 1.9k
Mehdi Moussaïd Germany 18 106 0.2× 300 0.6× 466 1.6× 37 0.2× 9 0.1× 34 3.1k
Alex C. Williams United States 13 101 0.2× 72 0.2× 61 0.2× 33 0.1× 139 0.9× 41 633
Jonathan C. Roberts United Kingdom 17 38 0.1× 400 0.9× 1.3k 4.4× 205 0.9× 70 0.4× 107 1.9k
Catia Prandi Italy 25 254 0.5× 207 0.4× 292 1.0× 50 0.2× 18 0.1× 125 1.7k

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-authorship network of co-authors of Edith Law

This figure shows the co-authorship network connecting the top 25 collaborators of Edith Law. A scholar is included among the top collaborators of Edith Law based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edith Law. Edith Law is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Love, R.P., Edith Law, Philip R. Cohen, & Dana Kulić. (2025). Teaching a Conversational Agent using Natural Language: Effect on Learning and Engagement. International Journal of Artificial Intelligence in Education. 35(4). 2078–2116. 5 indexed citations
2.
Law, Edith, et al.. (2023). Learning by Teaching: Key Challenges and Design Implications. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW1). 1–34. 3 indexed citations
3.
Goh, Joslin, et al.. (2022). Teachable Conversational Agents for Crowdwork: Effects on Performance and Trust. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–21. 1 indexed citations
4.
Suh, Sangho, et al.. (2020). How do we design for concreteness fading?: survey, general framework, and design dimensions. Interaction Design and Children. 581–588. 12 indexed citations
5.
Schaekermann, Mike, et al.. (2020). Ambiguity-aware AI Assistants for Medical Data Analysis. 1–14. 31 indexed citations
6.
7.
Schaekermann, Mike, Naama Hammel, Bilson Campana, et al.. (2019). Asynchronous Remote Adjudication for Grading Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 60(9). 158–158. 1 indexed citations
8.
Law, Edith, et al.. (2019). Contradict the Machine: A Hybrid Approach to Identifying Unknown Unknowns. Adaptive Agents and Multi-Agents Systems. 2238–2240. 1 indexed citations
9.
Williams, Jennifer A., Mike Schaekermann, Aissatou Kenda Bah, et al.. (2019). Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications. Seizure. 71. 93–99. 24 indexed citations
10.
Williams, Alex C., Gloria Mark, Kristy Milland, Edward Lank, & Edith Law. (2019). The Perpetual Work Life of Crowdworkers. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–28. 42 indexed citations
11.
Schaekermann, Mike, et al.. (2019). Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. 1131–1137. 5 indexed citations
12.
Goh, Joslin, et al.. (2019). Paying Crowd Workers for Collaborative Work. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–24. 21 indexed citations
13.
Jaini, Priyank, Zhitang Chen, Edith Law, et al.. (2017). Online Bayesian Transfer Learning for Sequential Data Modeling. International Conference on Learning Representations. 11 indexed citations
14.
O’Leary, Maureen A., Andrea L. Cirranello, Thomas G. Dietterich, et al.. (2017). Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes. Systematic Biology. 67(1). 49–60. 8 indexed citations
15.
Larson, Kate, et al.. (2016). Dynamic task allocation algorithm for hiring workers that learn. International Joint Conference on Artificial Intelligence. 3825–3831. 7 indexed citations
16.
Zhang, Haoqi, et al.. (2012). Human computation tasks with global constraints. 217–226. 123 indexed citations
17.
Law, Edith, et al.. (2011). The effects of choice in routing relevance judgments. 1127–1128. 13 indexed citations
18.
Betteridge, Justin, et al.. (2009). Toward Never Ending Language Learning.. National Conference on Artificial Intelligence. 1–2. 27 indexed citations
19.
Bowman, Richard, et al.. (2009). The 'mirror test' for estimating visual acuity in infants. British Journal of Ophthalmology. 94(7). 882–885. 11 indexed citations
20.
Bennett, Paul N., Raman Chandrasekar, Max Chickering, et al.. (2009). Proceedings of the ACM SIGKDD Workshop on Human Computation. Knowledge Discovery and Data Mining. 1 indexed citations

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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