IEEE Pervasive Computing

Top Research Topics at IEEE Pervasive Computing?

The journal mostly deals with topics like Ubiquitous computing, Human–computer interaction, Mobile computing, Multimedia and World Wide Web. Ubiquitous computing works presented in the journal have a specific focus on Context-aware pervasive systems. IEEE Pervasive Computing focuses on Context-aware pervasive systems but the discussions also offer insight into other areas such as End-user computing and Autonomic computing.

The work tackled in the journal goes beyond the discipline of Human–computer interaction as it also encompasses User interface. The work on Mobile computing tackled in the journal brings together disciplines like Mobile device, Mobile search and Mobile telephony. The journal links adjacent topics like Multimedia with Augmented reality.

The study on World Wide Web featured in it expounds on the topic of The Internet in particular. It features studies on Internet privacy, including topics such as Information privacy. The Wearable computer research presented falls under the domain of Embedded system.

• Ubiquitous computing (91.72%)
• Human–computer interaction (23.71%)
• Mobile computing (21.03%)

What are the most cited papers published in the journal?

• The Case for VM-Based Cloudlets in Mobile Computing (2812 citations)
• Energy scavenging for mobile and wireless electronics (2248 citations)
• OpenStreetMap: User-Generated Street Maps (1795 citations)

Research areas of the most cited articles at IEEE Pervasive Computing:

The most cited papers facilitate discussions on Ubiquitous computing, Mobile computing, Human–computer interaction, World Wide Web and Computer security. The majority of Ubiquitous computing studies in the most cited papers are focused on the issues of Context-aware pervasive systems. The most cited papers tackle studies in Mobile search and the interrelated subject of Mobile Web to gain insights into Mobile computing.

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

• Operating system
• Artificial intelligence
• The Internet

The previous edition focused in particular on these issues:

IEEE Pervasive Computing mainly deals with areas of study such as Ubiquitous computing, Human–computer interaction, Multimedia, Wearable computer and Pandemic. IEEE Pervasive Computing focused on works that combine different research areas such as Ubiquitous computing and Special section. The journal addresses concerns in Human–computer interaction which are intertwined with other disciplines, such as Tracking (particle physics), Maximum power transfer theorem and Integrated circuit.

The research on Multimedia featured in IEEE Pervasive Computing combines topics in other fields like Visual analytics, Market research, EXPOSE and Task analysis. The research on Wireless sensor network tackled can also make contributions to studies in the areas of Test (assessment), Gateway (computer program), Health care, Telehealth and International Symposium on Wearable Computers. The featured World Wide Web research zeroes in on concepts in The Internet but also tackles themes under Materials science and technology.

The most cited articles from the last journal are:

• Smart Multimodal Telehealth-IoT System for COVID-19 Patients (2 citations)
• Beyond the Star of Stars: An Introduction to Multihop and Mesh for LoRa and LoRaWAN (2 citations)
• Interactive Workshops in a Pandemic: The Real Benefits of Virtual Spaces (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 Pervasive Computing (based on the number of publications) are:

• Nigel Davies (43 papers) absent at the last edition,
• Albrecht Schmidt (38 papers) published 1 paper at the last edition the same number as at the previous edition,
• Maria R. Ebling (36 papers) absent at the last edition,
• Mary Baker (31 papers) absent at the last edition,
• Roy Want (29 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 Pervasive Computing (based on the number of publications) are:

• IBM (75 papers) absent at the last edition,
• Lancaster University (72 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Carnegie Mellon University (64 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Massachusetts Institute of Technology (64 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Intel (58 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, 18.42% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.03% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.13% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.81% of all publications and 29.03% 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.

Career in Research: Private School Teaching Opportunities in Minnesota

It's not surprising that some of the research topics at IEEE Pervasive Computing attract educators interested in technology integration. Specifically, those looking into private school teaching may find these areas of study particularly relevant. Whether it's engaging students through ubiquitous computing or promoting internet safety, the skills acquired through studying topics like mobile computing and human-computer interaction could help teachers enrich their lessons and boost student participation. If you are looking at a career in private school teaching in Minnesota, possessing expertise in these cutting-edge technologies could provide an advantage. Private schools often encourage the incorporation of innovative tools in the teaching process to stimulate students' interest in science and technology. In some cases, specific qualifications may be required. Whether private school teachers need a degree in Minnesota can vary by institution. Some private schools may prefer teachers with a degree in the subject they intend to teach, while others might prioritize classroom experience and communication skills. As the educational landscape evolves, staying up-to-date with the latest technology trends and research will only make your teaching portfolio and skills more relevant and in demand. Starting your career as a private school teacher in Minnesota can be an exciting journey. Regardless of the subject you choose to teach, understanding the intersections between technology, computer science, and education can only make you a stronger educator and leader in the classroom.