Jason Bolton
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Animal Science and Zoology top 10%
- Molecular Biology
- Food Science
- Co-authors
- Danqi ChenChristopher D. ManningDenise SkonbergBrian PerkinsLeo Li‐Ying ChanArun Tejasvi ChagantyCarlos Martin‐RiosNiclas Erhardt
- Topics
- Fermentation and Sensory Analysis (4 papers)Topic Modeling (3 papers)Meat and Animal Product Quality (3 papers)
- Partner nations
- United StatesYemenItaly
In The Last Decade
Jason Bolton
17 papers receiving 367 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 250
- Computer Vision and Pattern Recognition 81
- Animal Science and Zoology 56
- Molecular Biology 48
- Food Science 47
Countries citing papers authored by Jason Bolton
This map shows the geographic impact of Jason Bolton'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 Jason Bolton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Bolton more than expected).
Fields of papers citing papers by Jason Bolton
This network shows the impact of papers produced by Jason Bolton. 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 Jason Bolton. The network helps show where Jason Bolton may publish in the future.
Co-authorship network of co-authors of Jason Bolton
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Bolton. A scholar is included among the top collaborators of Jason Bolton 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 Jason Bolton. Jason Bolton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 32 | |
| 6 | 28 | |
| 7 | 1 | |
| 8 | Critical Heat Flux Enhancement Using Nanofluids and Hybrid Nanofluids: A Review | 2 |
| 9 | Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. | 2 |
| 10 | Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. | 3 |
| 11 | 239 | |
| 12 | 10 | |
| 13 | Bootstrapped Self Training for Knowledge Base Population. | 19 |
| 14 | 0 | |
| 15 | 26 | |
| 16 | 13 | |
| 17 | Critical Technology Assessment of Five Axis Simultaneous Control Machine Tools | 1 |
| 18 | Report No. 1: Evaluating the Application Process for the Local Network Fund for Children and Young People Getting the Money. | 1 |
About Jason Bolton
Jason Bolton is a scholar working on Tourism, Leisure and Hospitality Management, Food Science and Animal Science and Zoology, having authored 18 papers that have together received 398 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (4 papers), Topic Modeling (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Artificial Intelligence (250 citations), Animal Science and Zoology (56 citations) and Biotechnology (36 citations). Jason Bolton has collaborated with scholars based in United States, Yemen and Italy. Frequent co-authors include Danqi Chen, Christopher D. Manning, Denise Skonberg, Brian Perkins, Leo Li‐Ying Chan, Arun Tejasvi Chaganty, Carlos Martin‐Rios, Niclas Erhardt, Matthew T. Luth and Sonal Gupta. Their work appears in journals such as Sustainability, Journal of Food Science and Journal of Microbiological Methods.
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.