Samuel S. Blackman
- Artificial Intelligence top 0.2%
- Aerospace Engineering top 0.2%
- Computer Networks and Communications top 1%
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering top 5%
- Co-authors
- G. van KeukTed J. BroidaJoshua D. SteinOliver E. DrummondC. A. BarlowYaakov Bar‐ShalomR.J. FitzgeraldE Taniguchi
- Topics
- Target Tracking and Data Fusion in Sensor Networks (36 papers)Advanced Measurement and Detection Methods (10 papers)Infrared Target Detection Methodologies (9 papers)
- Journals
- IEEE Transactions on Aerospace and Electronic SystemsOptical EngineeringIEEE Aerospace and Electronic Systems Magazine
- Partner nations
- United States
In The Last Decade
Samuel S. Blackman
47 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 3.9k
- Aerospace Engineering 2.0k
- Computer Networks and Communications 1.1k
- Control and Systems Engineering 767
- Electrical and Electronic Engineering 750
Countries citing papers authored by Samuel S. Blackman
This map shows the geographic impact of Samuel S. Blackman'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 Samuel S. Blackman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel S. Blackman more than expected).
Fields of papers citing papers by Samuel S. Blackman
This network shows the impact of papers produced by Samuel S. Blackman. 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 Samuel S. Blackman. The network helps show where Samuel S. Blackman may publish in the future.
Co-authorship network of co-authors of Samuel S. Blackman
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel S. Blackman. A scholar is included among the top collaborators of Samuel S. Blackman 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 Samuel S. Blackman. Samuel S. Blackman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | Multiple hypothesis tracking for multiple target trackingbreakdown → | 973 |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 29 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Association and Fusion of Multiple Sensor Data | 21 |
| 16 | 18 | |
| 17 | 12 | |
| 18 | 12 | |
| 19 | 11 | |
| 20 | 5 |
About Samuel S. Blackman
Samuel S. Blackman is a scholar working on Artificial Intelligence, Aerospace Engineering and Instrumentation, having authored 48 papers that have together received 5.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (36 papers), Advanced Measurement and Detection Methods (10 papers) and Infrared Target Detection Methodologies (9 papers). The work is most often cited by research in Artificial Intelligence (3.9k citations), Aerospace Engineering (2.0k citations) and Computer Networks and Communications (1.1k citations). Samuel S. Blackman has collaborated with scholars based in United States. Frequent co-authors include G. van Keuk, Ted J. Broida, Joshua D. Stein, Oliver E. Drummond, C. A. Barlow, Yaakov Bar‐Shalom, R.J. Fitzgerald, E Taniguchi, Tom Nichols and Li Yu. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Optical Engineering and IEEE Aerospace and Electronic Systems Magazine.
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.