Samuel S. Blackman

About

Samuel S. Blackman is a scholar working on Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Samuel S. Blackman has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Aerospace Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Samuel S. Blackman’s work include Target Tracking and Data Fusion in Sensor Networks (28 papers), Advanced Measurement and Detection Methods (9 papers) and Infrared Target Detection Methodologies (7 papers). Samuel S. Blackman is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (28 papers), Advanced Measurement and Detection Methods (9 papers) and Infrared Target Detection Methodologies (7 papers). Samuel S. Blackman collaborates with scholars based in United States. Samuel S. Blackman's co-authors include G. van Keuk, Joshua D. Stein, Ted J. Broida, Oliver E. Drummond, C. A. Barlow, Li Yu, Yaakov Bar‐Shalom, Tom Nichols, E Taniguchi and R.J. Fitzgerald and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, Optical Engineering and IEEE Aerospace and Electronic Systems Magazine.

In The Last Decade

Co-authorship network of co-authors of Samuel S. Blackman i

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Fields of papers citing papers by Samuel S. Blackman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Samuel S. Blackman

Since Specialization

Citations

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).

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.

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