Boris Danev

19 papers receiving 1.3k citations

Peers

Boris Danev
Comparison fields: 5 of 56
  • Signal Processing 268
  • Media Technology 216
  • Artificial Intelligence 673
  • Computer Networks and Communications 468
  • Hardware and Architecture 121
Replace Konstantinos Markantonakis with:
Konstantinos Markantonakis United Kingdom
Wing Cheong Lau Hong Kong
Alavalapati Goutham Reddy India
Po‐Ching Lin Taiwan
Flavio D. Garcia United Kingdom
Naveen Sastry United States
Mark D. Corner United States
Jianfeng Ma China
Tao Jing China
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Citations per field
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Citations per year

Countries citing papers authored by Boris Danev

Since Specialization
Citations

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

Fields of papers citing papers by Boris Danev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Boris Danev, 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 Boris Danev Line = papers co-authored together Boris Danev links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2012221
2 2011220
3 2010182
4 2009161
5 2010133
6 2010117
7
Physical-layer identification of RFID devices
2009107
8 201163
9
Constructing Bayesian Networks Automatically using Ontologies
200631
10 201228
11 201222
12
Using Ontologies to Simplify Wireless Network Configuration
200511
13 20128
14 20066
15 20156
16
Relay Attacks on Passive Keyless Entry and Start Systems in Modern Cars (NDSS 2011)
20112
17 20092
18 20122
19 20091

About Boris Danev

Boris Danev is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Signal Processing, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (5 papers), Security in Wireless Sensor Networks (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Wireless Communication Security Techniques (4 papers), Biometric Identification and Security (3 papers), RFID technology advancements (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Signal Processing (268 citations), Media Technology (216 citations), Artificial Intelligence (673 citations), Computer Networks and Communications (468 citations) and Hardware and Architecture (121 citations). Boris Danev has collaborated with scholars based in Switzerland, Sweden and China. Frequent co-authors include Srđjan Čapkun, Davide Zanetti, Heinrich Luecken, Karim El Defrawy, Mario Strasser, Thomas S. Heydt-Benjamin, Ramya Jayaram Masti, Ghassan Karame, Ann Devitt and Aanjhan Ranganathan. Their work appears in journals such as ACM Transactions on Sensor Networks, ACM Computing Surveys, IEEE Transactions on Information Forensics and Security, ACM Transactions on Information and System Security and Trinity's Access to Research Output (TARA) (Trinity College Dublin).

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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