Alison Smith

50 papers receiving 1.1k citations

Alison Smith's Hit Papers

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies 2023 · 111 citations
1110+4+8Years since publication50100150200250

Peers

Alison Smith
Comparison fields: 5 of 125
  • Health Informatics 49
  • General Social Sciences 108
  • Safety Research 139
  • Artificial Intelligence 563
  • Information Systems and Management 79
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Alexandra Olteanu United States
Bedoor AlShebli United States
Katharina E. Kinder-Kurlanda Germany
Nada Hashmi United States
P. M. Krafft United States
Abdullah Almaatouq United States
Roman Lukyanenko Canada
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Citations per year

Countries citing papers authored by Alison Smith

Since Specialization
Citations

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

Fields of papers citing papers by Alison Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interactive topic modeling
Hit paper breakdown →
2013261
2
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies
Hit paper breakdown →
2023111
3 202099
4 200781
5 201770
6 201855
7 201337
8 201434
9 201827
10 201725
11 200124
12 201923
13 201422
14 201821
15 202220
16 199618
17 201318
18 201917
19 201417
20 202216

About Alison Smith

Alison Smith is a scholar working on Artificial Intelligence, Safety Research, Computer Vision and Pattern Recognition, General Social Sciences and Ecological Modeling, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (11 papers), Explainable Artificial Intelligence (XAI) (9 papers), Ethics and Social Impacts of AI (8 papers), Advanced Text Analysis Techniques (7 papers), Topic Modeling (6 papers), Computational and Text Analysis Methods (4 papers), Species Distribution and Climate Change (4 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Health Informatics (49 citations), General Social Sciences (108 citations), Safety Research (139 citations), Artificial Intelligence (563 citations) and Information Systems and Management (79 citations). Alison Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jordan Lee Boyd-Graber, Yuening Hu, Leah Findlater, Kevin D. Seppi, Alison J. Clarke, Gareth Smith, Chenhao Tan, Vivian W.-M. Lai, Qingzi Vera Liao and Chacha Chen. Their work appears in journals such as International Affairs, Journal of Applied Psychology, Machine Learning, Communications of the ACM and International Journal of Biometeorology.

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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