Jesse Davis
About
In The Last Decade
Jesse Davis
137 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Artificial Intelligence 2.5k
- Molecular Biology 1.1k
- Computer Vision and Pattern Recognition 798
- Information Systems 515
- Signal Processing 458
Countries citing papers authored by Jesse Davis
This map shows the geographic impact of Jesse Davis'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 Jesse Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Davis more than expected).
Fields of papers citing papers by Jesse Davis
This network shows the impact of papers produced by Jesse Davis. 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 Jesse Davis. The network helps show where Jesse Davis may publish in the future.
Co-authorship network of co-authors of Jesse Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Davis. A scholar is included among the top collaborators of Jesse Davis 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 Jesse Davis. Jesse Davis 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 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption. | 5 |
| 9 | 28 | |
| 10 | Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach. | 2 |
| 11 | 2 | |
| 12 | Dynamic early stopping for Naive Bayes | 1 |
| 13 | Tractable learning for complex probability queries | 18 |
| 14 | Exploring Disease Interactions Using Markov Networks | 2 |
| 15 | 87 | |
| 16 | Discovering latent structure in clinical databases | 2 |
| 17 | Change of representation for statistical relational learning | 20 |
| 18 | View learning for statistical relational learning: with an application to mammography | 27 |
| 19 | DESCRIPTION AND ANALYSIS OF A FLEXIBLE HARDWARE ARCHITECTURE FOR EVENT-DRIVEN DISTRIBUTED SENSOR NETWORK NODES | 5 |
| 20 | 30 |
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.