Koby Todros

628 citations
46 papers · 446 · h-index 11

Impact in

Papers in

    • Blind Source Separation Techniques 19
    • Direction-of-Arrival Estimation Techniques 13
    • Speech and Audio Processing 10
    • Advanced Adaptive Filtering Techniques 11
    • Sparse and Compressive Sensing Techniques 5

Koby Todros

43 papers receiving 434 citations

Peers

Koby Todros
Comparison fields: 5 of 55
  • Signal Processing 244
  • Statistics and Probability 73
  • Computational Mechanics 113
  • Computer Networks and Communications 82
  • Artificial Intelligence 73
Replace Dominique Pastor with:
Dominique Pastor France
M. Novey United States
Koeng-Mo Sung South Korea
Abdeldjalil Aïssa El Bey France
Theodoros Tsiligkaridis United States
A.G. Jaffer United States
Federico Penna Italy
Alper T. Erdoğan Türkiye
Ali Koochakzadeh United States
C.W. Baum United States
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Citations per field
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Citations per year

Countries citing papers authored by Koby Todros

Since Specialization
Citations

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

Fields of papers citing papers by Koby Todros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Koby Todros, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Koby Todros Line = papers co-authored together Koby Todros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200476
2 201050
3 201032
4 201529
5 200723
6 201722
7 201221
8 201417
9 201713
10 202011
11 201911
12 200710
13 20179
14 20089
15 20108
16 20127
17 20097
18 20147
19 20157
20 20186

About Koby Todros

Koby Todros is a scholar working on Signal Processing, Computational Mechanics, Statistics and Probability, Artificial Intelligence and Computer Networks and Communications, having authored 46 papers that have together received 446 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (19 papers), Direction-of-Arrival Estimation Techniques (13 papers), Advanced Adaptive Filtering Techniques (11 papers), Advanced Statistical Methods and Models (11 papers), Speech and Audio Processing (10 papers), Control Systems and Identification (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Signal Processing (244 citations), Statistics and Probability (73 citations), Computational Mechanics (113 citations), Computer Networks and Communications (82 citations) and Artificial Intelligence (73 citations). Koby Todros has collaborated with scholars based in Israel and United States. Frequent co-authors include Joseph Tabrikian, Alfred O. Hero, Nir Shlezinger, Stephen D. Pittman, Mary MacDonald, Amir B. Geva, David P. White, Atul Malhotra, Robert Fogel and Ron Dabora. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Information Theory and SLEEP.

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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