Alison Smith
Impact in
- Health Informatics top 5%
- General Social Sciences top 0.2%
- Computational and Text Analysis Methods
Papers in
-
- Explainable Artificial Intelligence (XAI) 9
- Topic Modeling 6
- Advanced Text Analysis Techniques 6
-
- Data Visualization and Analytics 10
- Co-authors
- Jordan Boyd‐Graber (9 shared papers)Yuening Hu (2 shared papers)Leah Findlater (7 shared papers)Gareth Smith (1 shared paper)Alison J. Clarke (1 shared paper)Kevin Seppi (4 shared papers)Paul M. Ramsay (2 shared papers)Vivian Lai (2 shared papers)
- Journals
- Journal of Applied Psychology (2 papers)International Affairs (2 papers)Communications of the ACM (1 paper)Journal of Biological Education (1 paper)Journal of Epidemiology & Community Health (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Alison Smith
52 papers receiving 966 citations
Alison Smith's Hit Papers
Peers
Comparison fields: 5 of 127
- Health Informatics 40
- General Social Sciences 94
- Artificial Intelligence 488
- Safety Research 120
- Information Systems and Management 76
Countries citing papers authored by Alison Smith
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
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.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interactive topic modeling Hit paper breakdown → | 2013 | 233 |
| 2 | 2020 | 88 | |
| 3 | 2023 | 80 | |
| 4 | 2007 | 80 | |
| 5 | 2017 | 65 | |
| 6 | 2018 | 48 | |
| 7 | 2013 | 29 | |
| 8 | 2014 | 27 | |
| 9 | 2018 | 27 | |
| 10 | 2014 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 2001 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2013 | 17 | |
| 17 | 1996 | 16 | |
| 18 | 2019 | 15 | |
| 19 | 2014 | 15 | |
| 20 | 2020 | 14 |
About Alison Smith
Alison Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Safety Research, Sociology and Political Science and Social Psychology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Explainable Artificial Intelligence (XAI) (9 papers), Ethics and Social Impacts of AI (7 papers), Topic Modeling (6 papers), Advanced Text Analysis Techniques (6 papers), Data Quality and Management (4 papers), Species Distribution and Climate Change (4 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Health Informatics (40 citations), General Social Sciences (94 citations), Artificial Intelligence (488 citations), Safety Research (120 citations) and Information Systems and Management (76 citations). Alison Smith has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Jordan Boyd‐Graber, Yuening Hu, Leah Findlater, Gareth Smith, Alison J. Clarke, Kevin Seppi, Paul M. Ramsay, Vivian Lai, Chacha Chen and Chenhao Tan. Their work appears in journals such as Journal of Applied Psychology, International Affairs, Communications of the ACM, Journal of Biological Education and Journal of Epidemiology & Community Health.
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.