IEEE Spectrum

Top Research Topics at IEEE Spectrum?

The journal investigates areas of study like Telecommunications, Electrical engineering, Computer security, The Internet and Law. The work tackled in the journal goes beyond the discipline of Electrical engineering as it also encompasses Electronic engineering.

• Telecommunications (15.10%)
• Electrical engineering (12.66%)
• Computer security (4.94%)

What are the most cited papers published in the journal?

• Moore's law: past, present and future (1121 citations)
• Introducing custom power (600 citations)
• Least-squares estimation: from Gauss to Kalman (586 citations)

Research areas of the most cited articles at IEEE Spectrum:

The most cited papers aim to foster the development of research in Electrical engineering, Telecommunications, Electronic engineering, Computer security and Artificial intelligence. In the Electrical engineering research discussed in the most cited publications, Transistor and Electronics are all tackled. Aside from discussions in Computer security, the most cited papers also deal with the subject of Internet privacy which intersects with The Internet disciplines.

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

• World War II
• Law
• Operating system

The previous edition focused in particular on these issues:

The objective of IEEE Spectrum is to combine knowledge in the areas of Telecommunications, 2019-20 coronavirus outbreak, Pandemic, Artificial intelligence and Artificial neural network. Interdisciplinary research on topics like 2019-20 coronavirus outbreak and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are the foci of IEEE Spectrum. It aims to form a more comprehensive understanding of the field by integrating disciplines like Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Virology.

Aside from Pandemic, the journal also covered works in the field of Internet privacy. IEEE Spectrum holds forums on Artificial intelligence that merges themes from other disciplines such as Task (project management) and Human–computer interaction. Artificial neural network research presented in the journal encompasses a variety of subjects, including Computer security and Dominance (economics).

The most cited articles from the last journal are:

• Venus Calling Silicon Carbide Radio Circuits Can Take The Heat Needed To Phone Home From Our Hellish Sister Planet (3 citations)
• The Supercharged Semiconductor: Gallium oxide could make powerful radios and switch thousands of volts (2 citations)
• The opacity of artificial intelligence makes it hard to tell when decision-making is biased (2 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 Spectrum (based on the number of publications) are:

• Donald Christiansen (180 papers) absent at the last edition,
• Tekla S. Perry (125 papers) published 2 papers at the last edition, 13 less than at the previous edition,
• Stephen Cass (121 papers) published 1 paper at the last edition, 8 less than at the previous edition,
• Robert W. Lucky (89 papers) absent at the last edition,
• Gordon D. Friedlander (84 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 Spectrum (based on the number of publications) are:

• Bell Labs (67 papers) absent at the last edition,
• Massachusetts Institute of Technology (64 papers) absent at the last edition,
• IBM (60 papers) published 1 paper at the last edition,
• General Electric (39 papers) absent at the last edition,
• Carnegie Mellon University (31 papers) absent at the last 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, 98.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.