Jessie Kennedy
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Signal Processing top 5%
- Information Systems top 5%
- Co-authors
- Martin GrahamPaul CraigDominique BrodbeckKevin ChalmersRobert KuklaPaolo BuonoChris WeaverNathalie Henry Riche
- Topics
- Data Visualization and Analytics (37 papers)Advanced Database Systems and Queries (19 papers)Semantic Web and Ontologies (16 papers)
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
Jessie Kennedy
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 673
- Artificial Intelligence 386
- Molecular Biology 247
- Signal Processing 152
- Information Systems 145
Countries citing papers authored by Jessie Kennedy
This map shows the geographic impact of Jessie Kennedy'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 Jessie Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessie Kennedy more than expected).
Fields of papers citing papers by Jessie Kennedy
This network shows the impact of papers produced by Jessie Kennedy. 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 Jessie Kennedy. The network helps show where Jessie Kennedy may publish in the future.
Co-authorship network of co-authors of Jessie Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of Jessie Kennedy. A scholar is included among the top collaborators of Jessie Kennedy 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 Jessie Kennedy. Jessie Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | A Rule Based Taxonomy of Dirty Data | 6 |
| 3 | 54 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS. | 1 |
| 9 | 6 | |
| 10 | 98 | |
| 11 | 27 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | The Prometheus Database Model | 2 |
| 16 | Database Support for Taxonomy | 3 |
| 17 | 20 | |
| 18 | 1 | |
| 19 | Modelling ecological data | 3 |
| 20 | Regaining the Conceptual Level in Object Oriented Data Modelling. | 8 |
About Jessie Kennedy
Jessie Kennedy is a scholar working on Ecological Modeling, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (37 papers), Advanced Database Systems and Queries (19 papers) and Semantic Web and Ontologies (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (673 citations), Ecological Modeling (124 citations) and Human-Computer Interaction (145 citations). Jessie Kennedy has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Martin Graham, Paul Craig, Dominique Brodbeck, Kevin Chalmers, Robert Kukla, Paolo Buono, Chris Weaver, Nathalie Henry Riche, Sean Kandel and Catherine Plaisant. Their work appears in journals such as BMC Bioinformatics, Taxon and IEEE Transactions on Visualization and Computer Graphics.
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.