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
Engineering and Technology D-index 55 Citations 16,655 304 World Ranking 977 National Ranking 18

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Artificial intelligence
  • Statistics

His primary scientific interests are in Mathematical optimization, Convex optimization, Cognitive psychology, Episodic memory and Event-related potential. His Mathematical optimization research incorporates themes from Convergence, Quadratic equation and Convex function. The various areas that Mikael Johansson examines in his Convex optimization study include Wireless, Routing, Linear system and Piecewise.

His Piecewise research includes themes of Stability, Actuator, Lyapunov function and Optimal control. The Cognitive psychology study combines topics in areas such as Cognition and Explicit memory. His study in Event-related potential is interdisciplinary in nature, drawing from both Recognition memory and Prefrontal cortex.

His most cited work include:

  • Computation of piecewise quadratic Lyapunov functions for hybrid systems (1128 citations)
  • Piecewise quadratic stability of fuzzy systems (694 citations)
  • Simultaneous routing and resource allocation via dual decomposition (540 citations)

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

His primary areas of study are Cognitive psychology, Mathematical optimization, Computer network, Convex optimization and Distributed computing. His Cognitive psychology research is multidisciplinary, relying on both Recognition memory, Semantic memory, Event-related potential and Episodic memory. His Mathematical optimization study combines topics in areas such as Algorithm and Resource allocation.

His research integrates issues of Linear system, Control theory and Piecewise in his study of Convex optimization. Piecewise is often connected to Piecewise linear function in his work. His research investigates the link between Distributed computing and topics such as Wireless network that cross with problems in Power control.

He most often published in these fields:

  • Cognitive psychology (14.62%)
  • Mathematical optimization (13.12%)
  • Computer network (10.47%)

What were the highlights of his more recent work (between 2017-2021)?

  • Algorithm (5.15%)
  • Lung cancer (3.82%)
  • Cognitive psychology (14.62%)

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

Mikael Johansson mostly deals with Algorithm, Lung cancer, Cognitive psychology, Computation and Mathematical optimization. His Algorithm research also works with subjects such as

  • Compensation, which have a strong connection to Bottleneck, Quadratic equation and Hessian matrix,
  • Stochastic gradient descent which intersects with area such as Quantization and Heuristics. His Lung cancer research incorporates themes from Odds ratio, Single-nucleotide polymorphism, Case-control study and Confounding.

Mikael Johansson combines subjects such as Neurocognitive, Episodic memory and Gaze with his study of Cognitive psychology. His Computation study integrates concerns from other disciplines, such as Curvature, Scale and Parallel computing. His Mathematical optimization research integrates issues from Computational complexity theory, Scheduling and Constraint programming.

Between 2017 and 2021, his most popular works were:

  • The Convergence of Sparsified Gradient Methods (137 citations)
  • Distributed learning with compressed gradients (28 citations)
  • Stochastic Online Shortest Path Routing: The Value of Feedback (23 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer network

His scientific interests lie mostly in Lung cancer, Internal medicine, Case-control study, Odds ratio and Single-nucleotide polymorphism. His studies in Lung cancer integrate themes in fields like Genetics, Red meat, Physiology and Cohort. In his study, Lung and Medical genetics is strongly linked to Oncology, which falls under the umbrella field of Internal medicine.

His biological study spans a wide range of topics, including Biomarker, Prospective cohort study and C-reactive protein. His study in the fields of Genome-wide association study under the domain of Single-nucleotide polymorphism overlaps with other disciplines such as Mendelian randomization and KEGG. The concepts of his Genome-wide association study study are interwoven with issues in Expression quantitative trait loci, Locus, Missing heritability problem and Bioinformatics.

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

Computation of piecewise quadratic Lyapunov functions for hybrid systems

M. Johansson;A. Rantzer.
IEEE Transactions on Automatic Control (1998)

1815 Citations

Piecewise quadratic stability of fuzzy systems

M. Johansson;A. Rantzer;K.-E. Arzen.
IEEE Transactions on Fuzzy Systems (1999)

888 Citations

Simultaneous routing and resource allocation via dual decomposition

Lin Xiao;M. Johansson;S.P. Boyd.
IEEE Transactions on Communications (2004)

669 Citations

Piecewise linear quadratic optimal control

A. Rantzer;M. Johansson.
IEEE Transactions on Automatic Control (2000)

664 Citations

Piecewise Linear Control Systems: A Computational Approach

Mikael K.-J. Johansson.
(2002)

555 Citations

Piecewise Linear Control Systems

Mikael Johansson;M. Johanssn.
PhD Theses; TFRT-1052 (1999) (2003)

471 Citations

Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems

Euhanna Ghadimi;André Teixeira;Iman Shames;Mikael Johansson.
IEEE Transactions on Automatic Control (2015)

406 Citations

A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems

Björn Johansson;Maben Rabi;Mikael Johansson.
Siam Journal on Optimization (2009)

325 Citations

Growth of language-related brain areas after foreign language learning

Johan Mårtensson;Johan Eriksson;Nils Christian Bodammer;Magnus Lindgren.
NeuroImage (2012)

306 Citations

Networked Control Systems

Alberto Bemporad;Maurice Heemels;Mikael Johansson.
(2010)

289 Citations

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