Christopher D. Wirz
- Communication top 5%
- Social Media and Politics 4
- Health Informatics top 10%
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- Climate Change Communication and Perception 14
- Risk Perception and Management 6
- Misinformation and Its Impacts 5
- General Social Sciences top 5%
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- Genetically Modified Organisms Research 6
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- Explainable Artificial Intelligence (XAI) 5
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- Scientific Computing and Data Management 5
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- CRISPR and Genetic Engineering 3
- Co-authors
- Dominique BrossardDietram A. ScheufeleMichael A. XenosSydney ScottYoel InbarPaul RozinFred GouldEmily L. Howell
- Journals
- Bulletin of the American Meteorological Society (2 papers)Public Understanding of Science (2 papers)Weather and Forecasting (1 paper)
- Partner nations
- United StatesIndonesiaCanada
In The Last Decade
Christopher D. Wirz
26 papers receiving 639 citations
Peers
Comparison fields: 5 of 120
- Communication 170
- Health Informatics 20
- Sociology and Political Science 325
- Business and International Management 14
- General Social Sciences 17
Countries citing papers authored by Christopher D. Wirz
This map shows the geographic impact of Christopher D. Wirz'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 Christopher D. Wirz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Wirz more than expected).
Fields of papers citing papers by Christopher D. Wirz
This network shows the impact of papers produced by Christopher D. Wirz. 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 Christopher D. Wirz. The network helps show where Christopher D. Wirz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher D. Wirz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 26 | |
| 11 | 2022 | 65 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 36 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 16 | |
| 17 | 2019 | 20 | |
| 18 | 2018 | 16 | |
| 19 | 2018 | 115 | |
| 20 | 2018 | 73 |
About Christopher D. Wirz
Christopher D. Wirz is a scholar working on Communication, Health Informatics and Information Systems and Management, having authored 28 papers that have together received 672 indexed citations. Recurring topics across this work include Climate Change Communication and Perception (14 papers), Genetically Modified Organisms Research (6 papers), Risk Perception and Management (6 papers), Misinformation and Its Impacts (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Scientific Computing and Data Management (5 papers), Social Media and Politics (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Communication (170 citations), Health Informatics (20 citations) and Sociology and Political Science (325 citations). Christopher D. Wirz has collaborated with scholars based in United States, Indonesia and Canada. Frequent co-authors include Dominique Brossard, Dietram A. Scheufele, Michael A. Xenos, Sydney Scott, Yoel Inbar, Paul Rozin, Fred Gould, Emily L. Howell, Leona Yi-Fan Su and Kathleen M. Rose. Their work appears in journals such as Bulletin of the American Meteorological Society, Public Understanding of Science, Weather and Forecasting, Proceedings of the National Academy of Sciences and Communications Earth & Environment.
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.