Katy Ilonka Gero
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Information Systems top 10%
- Social Psychology
- Safety Research top 10%
- Co-authors
- Lydia B. ChiltonVivian LiuJames M. JohnsonMaría-Luisa Martín-RuizQian PanWei ZhangCasey DuganSarah Miller
- Topics
- Topic Modeling (9 papers)Software Engineering Research (6 papers)Explainable Artificial Intelligence (XAI) (4 papers)
- Journals
- Building and EnvironmentJournal of the Academy of Nutrition and DieteticsNature Machine Intelligence
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Katy Ilonka Gero
22 papers receiving 427 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 225
- Human-Computer Interaction 84
- Information Systems 68
- Social Psychology 55
- Safety Research 54
Countries citing papers authored by Katy Ilonka Gero
This map shows the geographic impact of Katy Ilonka Gero'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 Katy Ilonka Gero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katy Ilonka Gero more than expected).
Fields of papers citing papers by Katy Ilonka Gero
This network shows the impact of papers produced by Katy Ilonka Gero. 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 Katy Ilonka Gero. The network helps show where Katy Ilonka Gero may publish in the future.
Co-authorship network of co-authors of Katy Ilonka Gero
This figure shows the co-authorship network connecting the top 25 collaborators of Katy Ilonka Gero. A scholar is included among the top collaborators of Katy Ilonka Gero 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 Katy Ilonka Gero. Katy Ilonka Gero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 72 | |
| 15 | How Novelists Use Generative Language Models: An Exploratory User Study. | 17 |
| 16 | 16 | |
| 17 | 93 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | 1 |
About Katy Ilonka Gero
Katy Ilonka Gero is a scholar working on Human-Computer Interaction, Safety Research and Artificial Intelligence, having authored 22 papers that have together received 438 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Software Engineering Research (6 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Health Informatics (42 citations), Human-Computer Interaction (84 citations) and Computer Science Applications (39 citations). Katy Ilonka Gero has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Lydia B. Chilton, Vivian Liu, James M. Johnson, María-Luisa Martín-Ruiz, Qian Pan, Wei Zhang, Casey Dugan, Sarah Miller, David R. Millen and Werner Geyer. Their work appears in journals such as Building and Environment, Journal of the Academy of Nutrition and Dietetics and Nature Machine Intelligence.
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.