D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 42 Citations 13,016 202 World Ranking 4092 National Ranking 2083
Electronics and Electrical Engineering D-index 39 Citations 15,559 187 World Ranking 1944 National Ranking 826

Research.com Recognitions

Awards & Achievements

2018 - IEEE Fellow For contributions to underwater acoustic and multimedia networks

2016 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Operating system

Tommaso Melodia mostly deals with Computer network, Wireless sensor network, Distributed computing, Wireless and Key distribution in wireless sensor networks. The various areas that Tommaso Melodia examines in his Computer network study include Underwater acoustic communication, Power control, Open research, Throughput and Cognitive radio. His work carried out in the field of Wireless sensor network brings together such families of science as Network packet, Real-time computing, Sensor array, Communications protocol and Robustness.

His studies examine the connections between Real-time computing and genetics, as well as such issues in Acoustic sensor, with regards to Underwater acoustic positioning system, Key and Telecommunications. His studies deal with areas such as Event, Routing, Protocol stack and Artificial intelligence as well as Wireless. His Key distribution in wireless sensor networks study combines topics in areas such as Testbed and Image sensor.

His most cited work include:

  • Underwater acoustic sensor networks: research challenges (2272 citations)
  • A survey on wireless multimedia sensor networks (2036 citations)
  • Wireless multimedia sensor networks: A survey (522 citations)

What are the main themes of his work throughout his whole career to date?

Tommaso Melodia spends much of his time researching Computer network, Wireless, Wireless sensor network, Wireless network and Real-time computing. His Computer network research is multidisciplinary, incorporating elements of Distributed computing, Wireless ad hoc network, Throughput and Cognitive radio, Communication channel. The Wireless study combines topics in areas such as Testbed, Ultrasonic sensor, Network packet and Artificial intelligence.

His Wireless sensor network study incorporates themes from Protocol stack, Energy consumption, Key distribution in wireless sensor networks, Communications protocol and Efficient energy use. His Wireless network research is multidisciplinary, incorporating perspectives in Node and Protocol. His Real-time computing research focuses on subjects like Video quality, which are linked to Encoder and Video compression picture types.

He most often published in these fields:

  • Computer network (39.78%)
  • Wireless (31.90%)
  • Wireless sensor network (19.71%)

What were the highlights of his more recent work (between 2018-2021)?

  • Wireless (31.90%)
  • Artificial intelligence (11.11%)
  • Testbed (15.05%)

In recent papers he was focusing on the following fields of study:

Tommaso Melodia mainly investigates Wireless, Artificial intelligence, Testbed, Computer network and Physical layer. His biological study spans a wide range of topics, including Computer hardware, Communication channel, Waveform, Real-time computing and Transmitter. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and State.

Tommaso Melodia interconnects Universal Software Radio Peripheral and Telecommunications link in the investigation of issues within Testbed. The concepts of his Computer network study are interwoven with issues in Visible light communication, Wireless ad hoc network and Throughput. His Physical layer study integrates concerns from other disciplines, such as Radio frequency and Multimedia.

Between 2018 and 2021, his most popular works were:

  • Machine learning for wireless communications in the Internet of Things: A comprehensive survey (79 citations)
  • The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems (30 citations)
  • DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms (29 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • The Internet
  • Operating system

Tommaso Melodia mainly focuses on Wireless, Testbed, Physical layer, Artificial intelligence and Wireless network. His Wireless research includes themes of Transmitter, Radio spectrum, Computer hardware and Communication channel. His research on Testbed concerns the broader Computer network.

His work deals with themes such as Event, Wireless mesh network and Mesh networking, which intersect with Computer network. His work in Artificial intelligence covers topics such as State which are related to areas like Protocol stack and Machine learning. Tommaso Melodia has included themes like Eavesdropping, Universal Software Radio Peripheral and Mobile computing in his Wireless network study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Underwater acoustic sensor networks: research challenges

Ian F. Akyildiz;Dario Pompili;Tommaso Melodia.
ad hoc networks (2005)

3369 Citations

A survey on wireless multimedia sensor networks

Ian F. Akyildiz;Tommaso Melodia;Kaushik R. Chowdhury.
Computer Networks (2007)

3003 Citations

Challenges for efficient communication in underwater acoustic sensor networks

Ian F. Akyildiz;Dario Pompili;Tommaso Melodia.
ACM Sigbed Review (2004)

748 Citations

Wireless multimedia sensor networks: A survey

I.F. Akyildiz;T. Melodia;K.R. Chowdury.
IEEE Wireless Communications (2007)

709 Citations

State-of-the-art in protocol research for underwater acoustic sensor networks

Ian F. Akyildiz;Dario Pompili;Tommaso Melodia.
Proceedings of the 1st ACM international workshop on Underwater networks (2006)

545 Citations

Wireless Multimedia Sensor Networks: Applications and Testbeds

I.F. Akyildiz;T. Melodia;K.R. Chowdhury.
Proceedings of the IEEE (2008)

455 Citations

Deployment analysis in underwater acoustic wireless sensor networks

Dario Pompili;Tommaso Melodia;Ian F. Akyildiz.
Proceedings of the 1st ACM international workshop on Underwater networks (2006)

323 Citations

Communication and Coordination in Wireless Sensor and Actor Networks

T. Melodia;D. Pompili;V.C. Gungor;I.F. Akyildiz.
IEEE Transactions on Mobile Computing (2007)

293 Citations

Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks

Dario Pompili;Tommaso Melodia;Ian F. Akyildiz.
acm/ieee international conference on mobile computing and networking (2006)

290 Citations

Cross-Layer Routing and Dynamic Spectrum Allocation in Cognitive Radio Ad Hoc Networks

Lei Ding;Tommaso Melodia;Stella N Batalama;John D Matyjas.
IEEE Transactions on Vehicular Technology (2010)

287 Citations

Editorial Boards

Computer Networks
(Impact Factor: 5.493)

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Best Scientists Citing Tommaso Melodia

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Rutgers, The State University of New Jersey

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Leonard Barolli

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Northeastern University

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Ian F. Akyildiz

Ian F. Akyildiz

Truva, Inc

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Zahoor Ali Khan

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Higher Colleges of Technology

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Dimitris A Pados

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Florida Atlantic University

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Florida International University

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Chiara Petrioli

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Sapienza University of Rome

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Sajal K. Das

Missouri University of Science and Technology

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Shengli Zhou

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