J. Salerno
- Artificial Intelligence top 5%
- Computer Networks and Communications
- Social Psychology
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Michael HinmanIvan KadarErik BlaschSubrata DasKenneth J. HintzPaul BelloGeorge TaddaMoises Sudit
- Topics
- Target Tracking and Data Fusion in Sensor Networks (5 papers)Human-Automation Interaction and Safety (4 papers)Bayesian Modeling and Causal Inference (2 papers)
- Journals
- IEEE Aerospace and Electronic Systems MagazineInternational Conference on Information Fusion
- Partner nations
- United States
In The Last Decade
J. Salerno
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 205
- Computer Networks and Communications 46
- Social Psychology 40
- Management Science and Operations Research 39
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by J. Salerno
This map shows the geographic impact of J. Salerno'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 J. Salerno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Salerno more than expected).
Fields of papers citing papers by J. Salerno
This network shows the impact of papers produced by J. Salerno. 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 J. Salerno. The network helps show where J. Salerno may publish in the future.
Co-authorship network of co-authors of J. Salerno
This figure shows the co-authorship network connecting the top 25 collaborators of J. Salerno. A scholar is included among the top collaborators of J. Salerno 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 J. Salerno. J. Salerno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Measuring situation assessment performance through the activities of interest score | 18 |
| 3 | 83 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | Building a Framework for Situation Awareness | 49 |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 78 |
About J. Salerno
J. Salerno is a scholar working on Social Psychology, Artificial Intelligence and Radiological and Ultrasound Technology, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Human-Automation Interaction and Safety (4 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Artificial Intelligence (205 citations), Management Science and Operations Research (39 citations) and Signal Processing (29 citations). J. Salerno has collaborated with scholars based in United States. Frequent co-authors include Michael Hinman, Ivan Kadar, Erik Blasch, Subrata Das, Kenneth J. Hintz, Paul Bello, George Tadda, Moises Sudit, Shanchieh Jay Yang and Mieczyslaw M. Kokar. Their work appears in journals such as IEEE Aerospace and Electronic Systems Magazine and International Conference on Information Fusion.
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.