Ted Faber

20 total papers · 551 total citations
14 papers, 367 citations indexed

About

Ted Faber is a scholar working on Computer Networks and Communications, Information Systems and Control and Systems Engineering. According to data from OpenAlex, Ted Faber has authored 14 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 5 papers in Information Systems and 4 papers in Control and Systems Engineering. Recurrent topics in Ted Faber's work include Network Traffic and Congestion Control (5 papers), Smart Grid Security and Resilience (4 papers) and Network Security and Intrusion Detection (4 papers). Ted Faber is often cited by papers focused on Network Traffic and Congestion Control (5 papers), Smart Grid Security and Resilience (4 papers) and Network Security and Intrusion Detection (4 papers). Ted Faber collaborates with scholars based in United States and Jamaica. Ted Faber's co-authors include Robert Braden, Mark Handley, John Wroclawski, Karen Sollins, Terry Benzel, Jelena Mirković, David D. Clark, Stephen Schwab, Aaron Falk and J. Bannister and has published in prestigious journals such as Communications of the ACM and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Ted Faber

13 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
Ted Faber	318	105	89	49	38	14	367
Ken-ichi Chinen	247 0.8×	154 1.5×	43 0.5×	25 0.5×	60 1.6×	25	346
Anirban Chakrabarti	297 0.9×	142 1.4×	36 0.4×	70 1.4×	34 0.9×	20	354
G.-S. Poo	299 0.9×	141 1.3×	49 0.6×	75 1.5×	16 0.4×	13	425
David P. Olshefski	362 1.1×	133 1.3×	104 1.2×	59 1.2×	25 0.7×	16	415
Taous Madi	369 1.2×	128 1.2×	84 0.9×	111 2.3×	33 0.9×	14	416
Zhuo Liu	238 0.7×	114 1.1×	65 0.7×	75 1.5×	30 0.8×	22	342
Angela Orebaugh	222 0.7×	122 1.2×	51 0.6×	141 2.9×	84 2.2×	19	358
Mohammed Aissaoui	300 0.9×	233 2.2×	31 0.3×	60 1.2×	19 0.5×	8	392
Mohsine Eleuldj	304 1.0×	241 2.3×	33 0.4×	64 1.3×	21 0.6×	15	403
Dongcheng Zhao	313 1.0×	198 1.9×	92 1.0×	45 0.9×	18 0.5×	13	406

Countries citing papers authored by Ted Faber

Since Specialization

Citations

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

Fields of papers citing papers by Ted Faber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Faber

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Faber. A scholar is included among the top collaborators of Ted Faber 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 Ted Faber. Ted Faber 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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