David L. Jagerman

39 papers and 995 indexed citations i.

About

David L. Jagerman is a scholar working on Management Information Systems, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, David L. Jagerman has authored 39 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Information Systems, 8 papers in Electrical and Electronic Engineering and 8 papers in Computational Theory and Mathematics. Recurrent topics in David L. Jagerman’s work include Advanced Queuing Theory Analysis (13 papers), Mathematical functions and polynomials (5 papers) and Image and Signal Denoising Methods (5 papers). David L. Jagerman is often cited by papers focused on Advanced Queuing Theory Analysis (13 papers), Mathematical functions and polynomials (5 papers) and Image and Signal Denoising Methods (5 papers). David L. Jagerman collaborates with scholars based in United States, Japan and Canada. David L. Jagerman's co-authors include Benjamin Melamed, Lawrence J. Fogel, Tayfur Altıok, Bhaskar Sen Gupta, B. Sengupta, Walter Willinger, Wei Xiong, Arie Ben‐David and H. Heffes and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematics of Computation and SIAM Journal on Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of David L. Jagerman i

Fields of papers citing papers by David L. Jagerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Jagerman. 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 David L. Jagerman. The network helps show where David L. Jagerman may publish in the future.

Countries citing papers authored by David L. Jagerman

Since Specialization
Citations

This map shows the geographic impact of David L. Jagerman'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 David L. Jagerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Jagerman 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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