Estimation and Tracking: Principles, Techniques, and Software
Impact in
Classified as
- Authors
- Yaakov Bar‐ShalomXiaorong Li
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w90603822 →Countries where authors are citing Estimation and Tracking: Principles, Techniques, and Software
This map shows the geographic impact of Estimation and Tracking: Principles, Techniques, and Software. 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 Estimation and Tracking: Principles, Techniques, and Software with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estimation and Tracking: Principles, Techniques, and Software more than expected).
Fields of papers citing Estimation and Tracking: Principles, Techniques, and Software
This network shows the impact of Estimation and Tracking: Principles, Techniques, and Software. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Estimation and Tracking: Principles, Techniques, and Software.
About Estimation and Tracking: Principles, Techniques, and Software
This paper, published in 1993, received 1.6k indexed citations . Written by Yaakov Bar‐Shalom and Xiaorong Li covering the research area of Control and Systems Engineering and Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (1.1k citations), Aerospace Engineering (582 citations), Control and Systems Engineering (465 citations), Computer Networks and Communications (302 citations) and Electrical and Electronic Engineering (237 citations). Published in Medical Entomology and Zoology.
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.
This paper is also available at doi.org/w90603822.