Michel Kulhandjian

498 total citations
43 papers, 302 citations indexed

About

Michel Kulhandjian is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michel Kulhandjian has authored 43 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michel Kulhandjian's work include Advanced Wireless Communication Technologies (12 papers), Advanced Wireless Communication Techniques (9 papers) and Wireless Communication Networks Research (8 papers). Michel Kulhandjian is often cited by papers focused on Advanced Wireless Communication Technologies (12 papers), Advanced Wireless Communication Techniques (9 papers) and Wireless Communication Networks Research (8 papers). Michel Kulhandjian collaborates with scholars based in United States, Canada and Armenia. Michel Kulhandjian's co-authors include Claude D’Amours, Hovannes Kulhandjian, Burak Kantarcı, Dimitris A. Pados, Ömer Melih Gül, Stella N. Batalama, Michael J. Medley, Ming Li, Levon Aslanyan and Halim Yanıkömeroğlu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Information Forensics and Security and Electronics.

In The Last Decade

Michel Kulhandjian

39 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michel Kulhandjian United States 10 112 87 82 80 52 43 302
Jay Prakash India 10 113 1.0× 81 0.9× 119 1.5× 178 2.2× 51 1.0× 43 369
Sangjoon Park South Korea 12 282 2.5× 70 0.8× 101 1.2× 159 2.0× 62 1.2× 37 427
Alexandros Kouris United Kingdom 8 87 0.8× 159 1.8× 65 0.8× 35 0.4× 89 1.7× 13 328
Michael Bramberger Slovakia 7 156 1.4× 258 3.0× 44 0.5× 132 1.6× 32 0.6× 12 413
Helmut Schwabach Austria 8 163 1.5× 270 3.1× 44 0.5× 140 1.8× 37 0.7× 16 432
Chunhai Feng China 8 222 2.0× 77 0.9× 29 0.4× 180 2.3× 27 0.5× 11 321
Anass Mansouri Morocco 10 78 0.7× 79 0.9× 75 0.9× 56 0.7× 21 0.4× 39 296
Claude D’Amours Canada 12 332 3.0× 32 0.4× 114 1.4× 224 2.8× 51 1.0× 105 450
Hakan Koyuncu Türkiye 7 193 1.7× 46 0.5× 62 0.8× 100 1.3× 30 0.6× 32 284

Countries citing papers authored by Michel Kulhandjian

Since Specialization
Citations

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

Fields of papers citing papers by Michel Kulhandjian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Kulhandjian

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Kulhandjian. A scholar is included among the top collaborators of Michel Kulhandjian 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 Michel Kulhandjian. Michel Kulhandjian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Şimşek, Murat, et al.. (2024). Enhancing the Safety of Autonomous Vehicles in Adverse Weather by Deep Learning-Based Object Detection. Electronics. 13(9). 1765–1765. 4 indexed citations
3.
Kulhandjian, Michel, et al.. (2024). The Impact of Mobility, Beam Sweeping and Smart Jammers on Security Vulnerabilities of 5G Cells. 71–78. 2 indexed citations
4.
Kulhandjian, Michel, Hovannes Kulhandjian, Güneş Karabulut Kurt, & Halim Yanıkömeroğlu. (2024). Delay-Doppler Domain Pulse Design for OTFS-NOMA. PolyPublie (École Polytechnique de Montréal). 63–68. 1 indexed citations
5.
Liu, Jinxin, Petar Djukic, Michel Kulhandjian, & Burak Kantarcı. (2024). Deep Dict: Deep Learning-Based Lossy Time Series Compressor for IoT Data. 4245–4250. 2 indexed citations
6.
Amini, Mohammadreza, et al.. (2024). Bypassing a Reactive Jammer via NOMA-Based Transmissions in Critical Missions. 5226–5231. 2 indexed citations
7.
Kulhandjian, Michel, Hovannes Kulhandjian, & Ashutosh Sabharwal. (2023). AWACS Radar Aircraft Trajectory Tracking via Networked Ground Receiver Stations. 1240–1244. 1 indexed citations
8.
Kulhandjian, Hovannes, et al.. (2023). Pedestrian Detection and Avoidance at Night Using Multiple Sensors and Machine Learning. 165–169. 3 indexed citations
9.
Kulhandjian, Michel, et al.. (2022). Low-Density Spreading Design Based on an Algebraic Scheme for NOMA Systems. IEEE Wireless Communications Letters. 11(4). 698–702. 5 indexed citations
10.
Kulhandjian, Michel, et al.. (2022). Pulse Shaping for Faster-than-Nyquist to Enable Low-Complexity Detection. 920–925. 2 indexed citations
11.
Kulhandjian, Hovannes, et al.. (2022). Drowsy Driver Detection Using Deep Learning and Multi-Sensor Data Fusion. 1–6. 2 indexed citations
12.
Kulhandjian, Michel, Hovannes Kulhandjian, Claude D’Amours, & Lajos Hanzo. (2021). Low-Density Spreading Codes for NOMA Systems and a Gaussian Separability-Based Design. IEEE Access. 9. 33963–33993. 5 indexed citations
13.
Kulhandjian, Michel, Güneş Karabulut Kurt, Hovannes Kulhandjian, Halim Yanıkömeroğlu, & Claude D’Amours. (2021). NOMA Computation Over Multi-Access Channels for Multimodal Sensing. IEEE Wireless Communications Letters. 10(11). 2577–2581. 2 indexed citations
14.
Kulhandjian, Michel, et al.. (2020). Low Complexity PIC-MMSE Detector for LDS Systems over Frequency-Nonselective Channels. 3. 1–6. 1 indexed citations
15.
Kulhandjian, Michel, Hovannes Kulhandjian, & Claude D’Amours. (2020). Code Design for Noncoherent Detection in Satellite Communication Systems. 27. 52–56.
16.
Kulhandjian, Hovannes, et al.. (2019). Human Activity Classification in Underwater using Sonar and Deep Learning. 1–5. 11 indexed citations
17.
Kulhandjian, Hovannes, et al.. (2019). Sign Language Gesture Recognition Using Doppler Radar and Deep Learning. 1–6. 23 indexed citations
18.
Kulhandjian, Michel, et al.. (2019). Multidisciplinary Discussion on 5G from the Viewpoint of Algebraic Combinatorics. 69–76. 5 indexed citations
19.
Kulhandjian, Michel, Hovannes Kulhandjian, & Claude D’Amours. (2019). Improved Soft Decoding of Reed-Solomon Codes on Gilbert-Elliott Channels. 1072–1076. 2 indexed citations
20.
Kulhandjian, Michel, Claude D’Amours, & Hovannes Kulhandjian. (2018). Multiway Physical‐Layer Network Coding via Uniquely Decodable Codes. Wireless Communications and Mobile Computing. 2018(1). 6 indexed citations

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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