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International Journal of Ambient Computing and Intelligence
H-index 2

International Journal of Ambient Computing and Intelligence

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 1093 5 5 2

Additional Metrics

Number of Best Scientists*: 7
Documents by Best Scientists*: 7
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 27
SCIMAGO SJR: 0.197
Impact Factor: N/A

Overview

Top Research Topics at International Journal of Ambient Computing and Intelligence?

Artificial intelligence, Ambient intelligence, Human–computer interaction, Multimedia and World Wide Web are the subjects of interest in International Journal of Ambient Computing and Intelligence. Machine learning, Computer vision and Pattern recognition are some topics wherein Artificial intelligence research discussed in the journal have an impact. It explores issues in Ambient intelligence which can be linked to other research areas like Ubiquitous computing, Data science and Computer security.

The in-depth study on Ubiquitous computing also explores topics in the intersecting field of Context awareness. It focuses on Multimedia research which is adjacent to topics in Mobile device.

  • Artificial intelligence (16.08%)
  • Ambient intelligence (16.08%)
  • Human–computer interaction (13.33%)

What are the most cited papers published in the journal?

  • An Ambient Intelligence Based Multi-Agent System for Alzheimer Health Care (79 citations)
  • Cloud Computing Security (71 citations)
  • A Decision Support System for Classification of Normal and Medical Renal Disease Using Ultrasound Images: A Decision Support System for Medical Renal Diseases (60 citations)

Research areas of the most cited articles at International Journal of Ambient Computing and Intelligence:

The published papers generally zeroe in on subjects such as Computer security, Cloud computing, Big data, Artificial intelligence and Ambient intelligence. The works on Artificial intelligence tackled in the most cited articles bring together disciplines like Natural language processing, Computer vision and Pattern recognition. The most cited publications address concerns in the field of Ambient intelligence by exploring it in line with topics in Multimedia which intersect with Input device subjects.

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

  • Artificial intelligence
  • Operating system
  • The Internet

The previous edition focused in particular on these issues:

The concepts of Artificial intelligence, Pattern recognition, Data science, Big data and Algorithm are tackled in International Journal of Ambient Computing and Intelligence. It focuses on Artificial intelligence as well as the interrelated topic of Natural language processing. International Journal of Ambient Computing and Intelligence addresses concerns in Pattern recognition which are intertwined with other disciplines, such as Field (computer science) and Feature based.

International Journal of Ambient Computing and Intelligence facilitates discussions on Data science that incorporate concepts from other fields like Fog computing, Identification system, Fuzzy logic and Smart transportation. While it focused on Big data, it was also able to explore topics like Regression analysis, Transmission (telecommunications), World Wide Web and Data analysis. In it, Virtual machine, CPU time, Swarm behaviour and Task (computing) are investigated in conjunction with one another to address concerns in Algorithm research.

The most cited articles from the last journal are:

  • Analysis of Sentiment on Movie Reviews Using Word Embedding Self-Attentive LSTM (2 citations)
  • Forward Context-Aware Clickbait Tweet Identification System (2 citations)
  • DADEM: Distributed Attack Detection Model Based on Big Data Analytics for the Enhancement of the Security of Internet of Things (IoT) (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.

The top authors publishing in International Journal of Ambient Computing and Intelligence (based on the number of publications) are:

  • Kevin Curran (14 papers) absent at the last edition,
  • Tom Lunney (5 papers) absent at the last edition,
  • Maurice Mulvenna (4 papers) absent at the last edition,
  • Felix Jesús Villanueva (3 papers) absent at the last edition,
  • Parikshit N. Mahalle (3 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in International Journal of Ambient Computing and Intelligence (based on the number of publications) are:

  • Ulster University (16 papers) absent at the last edition,
  • VIT University (9 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University College Dublin (7 papers) absent at the last edition,
  • Intel (6 papers) absent at the last edition,
  • Częstochowa University of Technology (5 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, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.13% 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 41.94% 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 Paths in Ambient Computing and Intelligence

One potential career path for those interested in Ambient Computing and Intelligence is becoming an elementary school teacher specializing in the integration of Ambient Computing into daily classroom activities and curriculum. This not only allows the teacher to impart important knowledge on a subject of growing significance, but also prepare the students for a rapidly digitalizing world. Elementary school teachers require a strong educational background and a deep understanding of how technologies in Ambient computing can be applied in educational settings. They have to plan, develop and implement lessons that teach students the basics of Ambient computing and monitor their progress throughout the school year. The role can be demanding but also highly rewarding as they equip students with crucial skills for the future. If you're interested in pursuing a career in the field of Ambient computing and are considering becoming an elementary school teacher, this comprehensive guide on how to become an elementary school teacher in Califronia {anchor} might be a good starting point. It offers valuable insights on the educational requirements, necessary skills, job outlook, and salary prospects for elementary school teachers in Califronia. With a clear path to becoming an elementary school teacher, you can start preparing more confidently for your future in Ambient Computing and Intelligence.

Top Publications

  • Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges

    Renuka Veerappa Tali;Surekha Borra;Mufti Mahmud

    (2021)
    4 Citations
  • A Biological Data-Driven Mining Technique by Using Hybrid Classifiers With Rough Set

    Linkon Chowdhury;Sarwar Kamal;Shamim Hasnat Ripon;Sazia Parvin

    (2021)
    2 Citations
  • Low-Cost Internet of Things Platform for Epilepsy Monitoring Using Real-Time Electroencephalogram

    (2022)
    2 Citations
  • Multi-Step Clustering Approach of Myelinated Nerve Fibers in Experimental Neuromorphology

    Taras Kotyk;Nadiya Tokaruk;Viktoria Bedej;Mariia Hryshchuk

    (2021)
    1 Citations
  • Detection of Cardiovascular Disease Using Ensemble Feature Engineering With Decision Tree

    (2022)
    1 Citations

Related Online Degrees & Career Pathways

Studying computer science opens doors to various related fields, many of which you can now pursue through online programs. For instance, those interested in the core principles of mechanics and design might explore online mechanical engineering degrees. These programs often complement computer science by emphasizing problem-solving and technical skills applicable in multiple industries.

Physics is another closely aligned discipline, with evolving online education options. If you’re wondering, can you get a physics degree online? The answer is yes—many universities offer flexible courses designed to fit around your schedule, enriching your understanding of computational modeling and algorithms.

With the rise of big data, a data scientist degree is becoming increasingly relevant. This path blends computer science expertise with statistics and analytics, preparing graduates for dynamic roles in diverse sectors such as finance, healthcare, and technology.

Additionally, the demand for technical innovation fuels the popularity of online electrical engineering courses USA. These courses provide a foundation in electronics and systems design, which synergizes well with software development skills acquired in computer science.

Best Scientists Contributing to This Journal