Alexander J. Robertson
- Artificial Intelligence top 10%
- Aerospace Engineering
- Computer Networks and Communications
- Industrial and Manufacturing Engineering top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Aubrey B. PoorePeter SheaJason R. AndrewsMatt D. T. HitchingsWade L. SchulzByron S. KennedyOtávio T. RanzaniMariam O. Fofana
- Topics
- Target Tracking and Data Fusion in Sensor Networks (4 papers)Distributed Sensor Networks and Detection Algorithms (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Partner nations
- United StatesBrazilSpain
In The Last Decade
Alexander J. Robertson
7 papers receiving 173 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 115
- Aerospace Engineering 55
- Computer Networks and Communications 45
- Industrial and Manufacturing Engineering 34
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Alexander J. Robertson
This map shows the geographic impact of Alexander J. Robertson'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 Alexander J. Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander J. Robertson more than expected).
Fields of papers citing papers by Alexander J. Robertson
This network shows the impact of papers produced by Alexander J. Robertson. 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 Alexander J. Robertson. The network helps show where Alexander J. Robertson may publish in the future.
Co-authorship network of co-authors of Alexander J. Robertson
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander J. Robertson. A scholar is included among the top collaborators of Alexander J. Robertson 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 Alexander J. Robertson. Alexander J. Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 45 | |
| 4 | 107 | |
| 5 | 8 | |
| 6 | A class of lagrangian relaxation algorithms for the multidimensional assignment problem | 2 |
| 7 | 16 |
About Alexander J. Robertson
Alexander J. Robertson is a scholar working on Statistics and Probability, Computer Networks and Communications and Artificial Intelligence, having authored 7 papers that have together received 193 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Artificial Intelligence (115 citations), Industrial and Manufacturing Engineering (34 citations) and Aerospace Engineering (55 citations). Alexander J. Robertson has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Aubrey B. Poore, Peter Shea, Jason R. Andrews, Matt D. T. Hitchings, Wade L. Schulz, Byron S. Kennedy, Otávio T. Ranzani, Mariam O. Fofana, Natalie E. Dean and Nathan D. Price. Their work appears in journals such as Clinical Infectious Diseases, PLoS Medicine and Computational Optimization and Applications.
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.