Ilya Lebedev

1.1k citations
51 papers · 547 indexed · h-index 10

Impact in

Papers in

Journals
Emerging Science Journal (3 papers)Computers & Security (1 paper)SHILAP Revista de lepidopterología (9 papers)Automatic Control and Computer Sciences (3 papers)Information and Control Systems (2 papers)

In The Last Decade

Ilya Lebedev

44 papers receiving 526 citations

Peers

Ilya Lebedev
Comparison fields: 5 of 52
  • Hardware and Architecture 175
  • Signal Processing 154
  • Artificial Intelligence 389
  • Computer Networks and Communications 148
  • Information Systems 135
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Citations per field
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Citations per year

Countries citing papers authored by Ilya Lebedev

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Lebedev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ilya Lebedev, 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 Ilya Lebedev Line = papers co-authored together Ilya Lebedev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20236
5 20220
6 20224
7 201969
8 201816
9 20183
10 2018163
11 20183
12 201716
13 20177
14 201720
15 201714
16 20173
17 20161
18 20162
19 20152
20 20143

About Ilya Lebedev

Ilya Lebedev is a scholar working on Hardware and Architecture, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 51 papers that have together received 547 indexed citations. Recurring topics across this work include Advanced Data Processing Techniques (12 papers), Security and Verification in Computing (11 papers), Advanced Research in Systems and Signal Processing (8 papers), Cybersecurity and Information Systems (8 papers), Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (6 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Hardware and Architecture (175 citations), Signal Processing (154 citations), Artificial Intelligence (389 citations), Computer Networks and Communications (148 citations) and Information Systems (135 citations). Ilya Lebedev has collaborated with scholars based in Russia, United States and Kazakhstan. Frequent co-authors include Srinivas Devadas, Joel Emer, Saman Amarasinghe, Vladimir Kiriansky, Victor Costan, Pramod Subramanyan, Rohit Sinha, John Wawrzynek, Mingjie Lin and Thomas Bourgeat. Their work appears in journals such as Emerging Science Journal, Computers & Security, SHILAP Revista de lepidopterología, Automatic Control and Computer Sciences and Information and Control Systems.

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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