Steven W. McLaughlin

What is he best known for?

The fields of study he is best known for:

• Telecommunications
• Quantum mechanics
• Computer network

Steven W. McLaughlin mainly focuses on Low-density parity-check code, Theoretical computer science, Algorithm, Communication channel and Electronic engineering. His Low-density parity-check code research includes elements of Block code, Error detection and correction and Puncturing. He interconnects Wireless and Computer network in the investigation of issues within Error detection and correction.

His Theoretical computer science research integrates issues from Forward error correction and Cryptography. His study in the field of Space–time code and Multi-user MIMO is also linked to topics like Constraint. His Electronic engineering study incorporates themes from Transmitter and Orthogonal frequency-division multiplexing, MIMO, MIMO-OFDM.

His most cited work include:

• Wireless Information-Theoretic Security (1493 citations)
• Broadband MIMO-OFDM wireless communications (1235 citations)
• Fading Channels: InformationTheoretic and Communications Aspects (491 citations)

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

Steven W. McLaughlin mostly deals with Algorithm, Communication channel, Low-density parity-check code, Theoretical computer science and Decoding methods. His study in Communication channel is interdisciplinary in nature, drawing from both Electronic engineering, Computer network, Secrecy and Computer data storage. Steven W. McLaughlin has included themes like Wireless, Physical layer, Key distribution in wireless sensor networks and Transmission in his Computer network study.

Steven W. McLaughlin works mostly in the field of Wireless, limiting it down to topics relating to Fading and, in certain cases, Channel state information, as a part of the same area of interest. His work deals with themes such as Parallel computing, Quantum key distribution, Binary erasure channel, Error detection and correction and Puncturing, which intersect with Low-density parity-check code. His work in the fields of Theoretical computer science, such as Coding theory, intersects with other areas such as Information theory.

He most often published in these fields:

• Algorithm (32.16%)
• Communication channel (25.73%)
• Low-density parity-check code (23.98%)

What were the highlights of his more recent work (between 2009-2015)?

• Computer network (15.20%)
• Secrecy (7.60%)
• Communication channel (25.73%)

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

Steven W. McLaughlin mainly investigates Computer network, Secrecy, Communication channel, Low-density parity-check code and Theoretical computer science. His Computer network study combines topics in areas such as Wireless, Physical layer and Transmission. Particularly relevant to Channel capacity is his body of work in Communication channel.

His Low-density parity-check code study which covers Binary erasure channel that intersects with Erasure. Steven W. McLaughlin combines subjects such as Algorithm, Cryptography, Puncturing and Code with his study of Theoretical computer science. His studies in Code integrate themes in fields like Communications security, Error detection and correction and Secure communication.

Between 2009 and 2015, his most popular works were:

• LDPC Codes for the Gaussian Wiretap Channel (181 citations)
• Wireless Secrecy Regions With Friendly Jamming (143 citations)
• Coding for Secrecy: An Overview of Error-Control Coding Techniques for Physical-Layer Security (133 citations)

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

• Telecommunications
• Quantum mechanics
• Computer network

His main research concerns Computer network, Secrecy, Computer security, Wireless and Eavesdropping. As part of his studies on Computer network, Steven W. McLaughlin often connects relevant areas like Transmission. His studies deal with areas such as Tunstall coding, Channel state information, Forward error correction and Fading as well as Computer security.

His Wireless research is multidisciplinary, relying on both Energy consumption, Wireless sensor network, Efficient energy use and Encryption. His Eavesdropping research is multidisciplinary, incorporating elements of Communication channel, Bit error rate, Maximum a posteriori estimation, Error floor and Information-theoretic security. His Communication channel study combines topics from a wide range of disciplines, such as Decoding methods, Low-density parity-check code, Theoretical computer science and Cryptography.