Fredric M. Ham

48 total papers · 1.4k total citations
30 papers, 1.1k citations indexed

About

Fredric M. Ham is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Fredric M. Ham has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Fredric M. Ham's work include Neural Networks and Applications (9 papers), Seismic Waves and Analysis (6 papers) and Blind Source Separation Techniques (5 papers). Fredric M. Ham is often cited by papers focused on Neural Networks and Applications (9 papers), Seismic Waves and Analysis (6 papers) and Blind Source Separation Techniques (5 papers). Fredric M. Ham collaborates with scholars based in United States, Canada and South Korea. Fredric M. Ham's co-authors include Ivica Kostanic, A.A. Girgis, Robert G. Brown, Glenn M. Cohen, Marco Carvalho, Kamel Rekab, Young Chan Lee, Milton Garcés, Sungjin Park and Frank L. Lewis and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Neural Networks and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Fredric M. Ham

28 papers receiving 978 citations

Author Peers

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

Author						Papers	Cites
Fredric M. Ham	423	298	270	157	68	30	1.1k
Ivica Kostanic	586 1.4×	187 0.6×	117 0.4×	103 0.7×	56 0.8×	95	1.2k
M. J. Nigam	206 0.5×	263 0.9×	277 1.0×	163 1.0×	138 2.0×	69	1.0k
Babak E. Cohanim	232 0.5×	205 0.7×	197 0.7×	301 1.9×	118 1.7×	29	1.1k
Chong Li	388 0.9×	113 0.4×	224 0.8×	157 1.0×	70 1.0×	89	1.0k
Yacine Oussar	237 0.6×	289 1.0×	225 0.8×	39 0.2×	127 1.9×	31	915
Tareq M. Shami	295 0.7×	269 0.9×	161 0.6×	105 0.7×	100 1.5×	20	906
Na Zhang	595 1.4×	229 0.8×	281 1.0×	128 0.8×	43 0.6×	57	1.1k
Gyu-In Jee	494 1.2×	249 0.8×	115 0.4×	637 4.1×	97 1.4×	85	1.1k
Soumalya Sarkar	99 0.2×	215 0.7×	228 0.8×	80 0.5×	52 0.8×	47	826
William L. Brogan	160 0.4×	132 0.4×	443 1.6×	164 1.0×	59 0.9×	26	1.0k

Countries citing papers authored by Fredric M. Ham

Since Specialization

Citations

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

Fields of papers citing papers by Fredric M. Ham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fredric M. Ham. 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 Fredric M. Ham. The network helps show where Fredric M. Ham may publish in the future.

Co-authorship network of co-authors of Fredric M. Ham

This figure shows the co-authorship network connecting the top 25 collaborators of Fredric M. Ham. A scholar is included among the top collaborators of Fredric M. Ham 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 Fredric M. Ham. Fredric M. Ham 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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