Jonathan Bischof
- General Social Sciences top 0.5%
- Computational and Text Analysis Methods 2
- Health Informatics top 10%
- Safety Research top 10%
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 3
- Topic Modeling 3
- Advanced Text Analysis Techniques 1
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- Complex Network Analysis Techniques 1
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- Video Analysis and Summarization 1
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- Spatial and Panel Data Analysis 1
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- Biomedical Text Mining and Ontologies 1
- Journals
- Journal of the American Statistical Association (1 paper)International Conference on Machine Learning (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Bischof
6 papers receiving 260 citations
Peers
Comparison fields: 5 of 72
- General Social Sciences 81
- Health Informatics 12
- Communication 30
- Safety Research 35
- Artificial Intelligence 96
Countries citing papers authored by Jonathan Bischof
This map shows the geographic impact of Jonathan Bischof'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 Jonathan Bischof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Bischof more than expected).
Fields of papers citing papers by Jonathan Bischof
This network shows the impact of papers produced by Jonathan Bischof. 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 Jonathan Bischof. The network helps show where Jonathan Bischof may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Jonathan Bischof, 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 | 2019 | 59 | |
| 2 | 2015 | 101 | |
| 3 | Capturing topical content with frequency and exclusivity. | 2012 | 3 |
| 4 | Summarizing topical content with word frequency and exclusivity | 2012 | 100 |
| 5 | Poisson convolution on a tree of categories for modeling topical content with word frequency and exclusivity | 2012 | 1 |
| 6 | A Bootstrap Approach to Time Invariance in Panel Data | 2009 | 3 |
About Jonathan Bischof
Jonathan Bischof is a scholar working on General Social Sciences, Artificial Intelligence, General Economics, Econometrics and Finance, Safety Research and Statistical and Nonlinear Physics, having authored 6 papers that have together received 267 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Computational and Text Analysis Methods (2 papers), Advanced Text Analysis Techniques (1 paper), Complex Network Analysis Techniques (1 paper), Video Analysis and Summarization (1 paper), Spatial and Panel Data Analysis (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in General Social Sciences (81 citations), Health Informatics (12 citations), Communication (30 citations), Safety Research (35 citations) and Artificial Intelligence (96 citations). Jonathan Bischof has collaborated with scholars based in United States. Frequent co-authors include Edoardo M. Airoldi, Tulsee Doshi, Jilin Chen, Hai Qian, Ed H., Allison Woodruff and Alex Beutel. Their work appears in journals such as Journal of the American Statistical Association, International Conference on Machine Learning and arXiv (Cornell University).
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.