IEEE Transactions on Signal Processing

Top Research Topics at IEEE Transactions on Signal Processing?

The objective of IEEE Transactions on Signal Processing is to combine knowledge in the areas of Algorithm, Mathematical optimization, Signal processing, Control theory and Estimation theory. The journal explores topics in Algorithm which can be helpful for research in disciplines like Estimator, Communication channel, Statistics and Speech recognition. Most of the works presented in the journal deals with Estimator but it intersects with the subject of Mean squared error.

Some problems in Communication channel that were presented in the journal overlapped with concepts under Transmitter and Electronic engineering. In IEEE Transactions on Signal Processing, Computational complexity theory, Applied mathematics and Convex optimization are investigated in conjunction with one another to address concerns in Mathematical optimization research. Detection theory and Artificial intelligence are some topics wherein Signal processing research discussed in it have an impact.

The research on Artificial intelligence discussed in IEEE Transactions on Signal Processing draws on the closely related field of Machine learning. While IEEE Transactions on Signal Processing focused on Control theory, it was also able to explore topics like Digital filter, MIMO and Filter (signal processing), Filter design. Precoding is a major topic of MIMO research presented in the journal.

• Algorithm (47.74%)
• Mathematical optimization (20.28%)
• Signal processing (19.63%)

What are the most cited papers published in the journal?

• A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (9670 citations)
• Matching pursuits with time-frequency dictionaries (7729 citations)
• $rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation (7722 citations)

Research areas of the most cited articles at IEEE Transactions on Signal Processing:

The most cited publications facilitate discussions on Algorithm, Mathematical optimization, Signal processing, Control theory and Estimation theory. The published papers explore issues in Algorithm which can be linked to other research areas like Speech recognition and Statistics, Communication channel, Estimator. The published articles explore issues in Signal processing which can be linked to other research areas like Detection theory, Artificial intelligence and Pattern recognition.

What topics the last edition of the journal is best known for?

• Statistics
• Artificial intelligence
• Algorithm

The previous edition focused in particular on these issues:

The journal primarily focuses on research topics in Algorithm, Mathematical optimization, Matrix (mathematics), MIMO and Optimization problem. In addition to Algorithm research, it aims to explore topics under Filter (signal processing), Communication channel, Estimator, Signal processing and Noise measurement. It focused on Signal processing research conducted under the discipline of Signal.

The Mathematical optimization works featured in it incorporate elements from Stochastic process, Convergence (routing) and Convex function. Specifically, studies on Rate of convergence are prevalent in the Convergence (routing) works discussed. Matrix decomposition and Sparse matrix are all subfields of Matrix (mathematics) research that were featured in the journal.

The most cited articles from the last journal are:

• A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network (34 citations)
• Deep Learning Enabled Semantic Communication Systems (31 citations)
• UVeQFed: Universal Vector Quantization for Federated Learning (29 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in IEEE Transactions on Signal Processing (based on the number of publications) are:

• Georgios B. Giannakis (158 papers) published 4 papers at the last edition, 1 less than at the previous edition,
• Yonina C. Eldar (105 papers) published 12 papers at the last edition, 4 more than at the previous edition,
• Petre Stoica (102 papers) absent at the last edition,
• Ali H. Sayed (100 papers) published 5 papers at the last edition, 1 less than at the previous edition,
• Arye Nehorai (99 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in IEEE Transactions on Signal Processing (based on the number of publications) are:

• University of Minnesota (300 papers) published 11 papers at the last edition, 4 less than at the previous edition,
• Massachusetts Institute of Technology (212 papers) published 4 papers at the last edition, 2 less than at the previous edition,
• Hong Kong University of Science and Technology (202 papers) published 8 papers at the last edition the same number as at the previous edition,
• Technion – Israel Institute of Technology (195 papers) published 7 papers at the last edition, 1 more than at the previous edition,
• University of Illinois at Urbana–Champaign (191 papers) published 3 papers at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 8.76% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.83% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.47% of all publications and 56.31% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.