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 36 Citations 5,974 234 World Ranking 5664 National Ranking 144

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • The Internet

Roberto Baldoni mainly focuses on Distributed computing, Computer network, Mobile ad hoc network, Computation and Event. His Fault tolerance study in the realm of Distributed computing interacts with subjects such as Publication. His work in Computer network addresses subjects such as Ubiquitous computing, which are connected to disciplines such as Server, Wireless sensor network, Ambient intelligence and Service.

The Mobile ad hoc network study combines topics in areas such as Wireless ad hoc network, Ad hoc wireless distribution service, Optimized Link State Routing Protocol, Wireless Routing Protocol and Wireless network. His biological study spans a wide range of topics, including Development, Distributed design patterns, Asynchronous distributed systems, Set and Transfer. His Event study combines topics in areas such as Overlay network, Peer-to-peer, Cluster analysis, Tera- and Content management.

His most cited work include:

  • Adaptive online scheduling in storm (194 citations)
  • A Survey of Symbolic Execution Techniques (148 citations)
  • A Survey of Service Discovery Protocols in Multihop Mobile Ad Hoc Networks (130 citations)

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

His primary scientific interests are in Distributed computing, Computer network, Theoretical computer science, Protocol and Service. His Distributed computing research includes elements of Scalability and Computation. In his study, Wireless network is inextricably linked to Wireless ad hoc network, which falls within the broad field of Computer network.

His work on Theoretical computer science is being expanded to include thematically relevant topics such as Distributed algorithm. His Protocol research is multidisciplinary, incorporating perspectives in Object and Process. His Network topology research includes themes of Node and Dynamic network analysis.

He most often published in these fields:

  • Distributed computing (45.12%)
  • Computer network (22.90%)
  • Theoretical computer science (11.45%)

What were the highlights of his more recent work (between 2013-2021)?

  • Malware (4.38%)
  • Computer security (8.75%)
  • Malware analysis (3.37%)

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

Roberto Baldoni mostly deals with Malware, Computer security, Malware analysis, Distributed computing and Artificial intelligence. His work is dedicated to discovering how Malware, Set are connected with Cluster analysis, Identification, Line and World Wide Web and other disciplines. The study incorporates disciplines such as The Internet, State, Knowledge base and Taxonomy in addition to Computer security.

Leverage is closely connected to Data mining in his research, which is encompassed under the umbrella topic of Malware analysis. His Distributed computing research focuses on Byzantine fault tolerance in particular. The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.

Between 2013 and 2021, his most popular works were:

  • A Survey of Symbolic Execution Techniques (148 citations)
  • PBFT vs proof-of-authority: applying the CAP theorem to permissioned blockchain (124 citations)
  • Blockchain-Based Database to Ensure Data Integrity in Cloud Computing Environments. (104 citations)

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

  • Operating system
  • Computer network
  • The Internet

His scientific interests lie mostly in Distributed computing, Malware analysis, Malware, Theoretical computer science and Data integrity. His Distributed computing research incorporates elements of Message oriented middleware, Middleware, Relation, Abstraction layer and Cyber-physical system. His research integrates issues of Artificial neural network, Binary code, Feature extraction and Function in his study of Malware analysis.

In his study, Executable is strongly linked to Machine learning, which falls under the umbrella field of Malware. He has included themes like Embedding, Adversary, Adversary model and Degree in his Theoretical computer science study. His Data integrity research is multidisciplinary, relying on both Byzantine fault tolerance, Cloud computing and Blockchain.

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

Adaptive online scheduling in storm

Leonardo Aniello;Roberto Baldoni;Leonardo Querzoni.
distributed event-based systems (2013)

279 Citations

A Survey of Symbolic Execution Techniques

Roberto Baldoni;Emilio Coppa;Daniele Cono D’elia;Camil Demetrescu.
ACM Computing Surveys (2018)

264 Citations

TERA: topic-based event routing for peer-to-peer architectures

Roberto Baldoni;Roberto Beraldi;Vivien Quema;Leonardo Querzoni.
distributed event-based systems (2007)

203 Citations

A Survey of Service Discovery Protocols in Multihop Mobile Ad Hoc Networks

A.N. Mian;R. Baldoni;R. Beraldi.
IEEE Pervasive Computing (2009)

192 Citations

The DaQuinCIS architecture: a platform for exchanging and improving data quality in cooperative information systems

Monica Scannapieco;Antonino Virgillito;Carlo Marchetti;Massimo Mecella.
cooperative information systems (2004)

189 Citations

PBFT vs proof-of-authority: applying the CAP theorem to permissioned blockchain

Stefano De Angelis;Leonardo Aniello;Roberto Baldoni;Federico Lombardi.
ITASEC (2018)

182 Citations

Blockchain-Based Database to Ensure Data Integrity in Cloud Computing Environments.

Edoardo Gaetani;Leonardo Aniello;Roberto Baldoni;Federico Lombardi.
ITASEC (2017)

178 Citations

Survey of machine learning techniques for malware analysis

Daniele Ucci;Leonardo Aniello;Roberto Baldoni.
Computers & Security (2019)

164 Citations

Content-Based Publish-Subscribe over Structured Overlay Networks

R. Baldoni;C. Marchetti;A. Virgillito;R. Vitenberg.
international conference on distributed computing systems (2005)

159 Citations

A communication-induced checkpointing protocol that ensures rollback-dependency trackability

R. Baldoni;J.-M. Helary;A. Mostefaoui;M. Raynal.
ieee international symposium on fault tolerant computing (1997)

143 Citations

Best Scientists Citing Roberto Baldoni

Michel Raynal

Michel Raynal

University of Rennes 1

Publications: 35

Hans-Arno Jacobsen

Hans-Arno Jacobsen

University of Toronto

Publications: 26

Miguel Correia

Miguel Correia

Instituto Superior Técnico

Publications: 19

Nuno Neves

Nuno Neves

University of Lisbon

Publications: 17

Makoto Takizawa

Makoto Takizawa

Hosei University

Publications: 17

Paulo Veríssimo

Paulo Veríssimo

King Abdullah University of Science and Technology

Publications: 16

Roy Friedman

Roy Friedman

Technion – Israel Institute of Technology

Publications: 15

Zahir Tari

Zahir Tari

RMIT University

Publications: 13

Luís Rodrigues

Luís Rodrigues

Instituto Superior Técnico

Publications: 12

Gianpaolo Cugola

Gianpaolo Cugola

Politecnico di Milano

Publications: 12

Pascal Felber

Pascal Felber

University of Neuchâtel

Publications: 12

Louise E. Moser

Louise E. Moser

University of California, Santa Barbara

Publications: 11

Hagit Attiya

Hagit Attiya

Technion – Israel Institute of Technology

Publications: 11

Massimo Mecella

Massimo Mecella

Sapienza University of Rome

Publications: 11

Albert Y. Zomaya

Albert Y. Zomaya

University of Sydney

Publications: 11

Mukesh Singhal

Mukesh Singhal

University of California, Merced

Publications: 11

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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