Joseph Gaeddert

30 total papers · 1.3k total citations
20 papers, 904 citations indexed

About

Joseph Gaeddert is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Joseph Gaeddert has authored 20 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Joseph Gaeddert's work include Wireless Communication Networks Research (7 papers), Advanced Wireless Communication Techniques (6 papers) and Advanced Adaptive Filtering Techniques (4 papers). Joseph Gaeddert is often cited by papers focused on Wireless Communication Networks Research (7 papers), Advanced Wireless Communication Techniques (6 papers) and Advanced Adaptive Filtering Techniques (4 papers). Joseph Gaeddert collaborates with scholars based in United States, South Korea and Puerto Rico. Joseph Gaeddert's co-authors include Jeffrey H. Reed, Albrecht Fehske, Kyung Kyoon Bae, Youping Zhao, Jungsun Um, Timothy R. Newman, An He, A. Annamalai, William H. Tranter and Rekha Menon and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Vehicular Technology and IEEE Communications Letters.

In The Last Decade

Joseph Gaeddert

20 papers receiving 843 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Joseph Gaeddert	611	523	209	157	147	20	904
Mario Bkassiny	565 0.9×	485 0.9×	179 0.9×	150 1.0×	110 0.7×	24	809
Kyung Kyoon Bae	674 1.1×	513 1.0×	184 0.9×	108 0.7×	151 1.0×	17	921
Minhoe Kim	351 0.6×	665 1.3×	257 1.2×	123 0.8×	91 0.6×	31	912
Youping Zhao	668 1.1×	706 1.3×	87 0.4×	121 0.8×	71 0.5×	38	1000
Federico Penna	582 1.0×	430 0.8×	99 0.5×	162 1.0×	152 1.0×	46	765
Haoran Sun	410 0.7×	741 1.4×	298 1.4×	151 1.0×	54 0.4×	15	1.0k
Alfonso Caño	772 1.3×	654 1.3×	217 1.0×	72 0.5×	44 0.3×	22	1.0k
D.E. Borth	614 1.0×	714 1.4×	81 0.4×	160 1.0×	79 0.5×	15	940
Youness Arjoune	376 0.6×	312 0.6×	99 0.5×	78 0.5×	153 1.0×	28	699
Jacques Palicot	397 0.6×	449 0.9×	82 0.4×	56 0.4×	117 0.8×	61	707

Countries citing papers authored by Joseph Gaeddert

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Gaeddert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Gaeddert. 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 Joseph Gaeddert. The network helps show where Joseph Gaeddert may publish in the future.

Co-authorship network of co-authors of Joseph Gaeddert

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Gaeddert. A scholar is included among the top collaborators of Joseph Gaeddert 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 Joseph Gaeddert. Joseph Gaeddert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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