World's Best Scientists 2026 revealed!
AI Magazine
H-index 20

AI Magazine

0738-4602

Published by: AAAI Press

http://www.aaai.org/Magazine/magazine.php

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 284 136 124 20

Additional Metrics

Number of Best Scientists*: 173
Documents by Best Scientists*: 136
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 89
SCIMAGO SJR: 0.634
Impact Factor: 3.2

Overview

Top Research Topics at Ai Magazine?

The objective of the journal is to combine knowledge in the areas of Artificial intelligence, Operations research, Microbiology, Food science and Human–computer interaction. The Artificial intelligence works featured in the journal incorporate elements from Machine learning and Cognitive science. Fermentation is a primary topic of Food science research in Ai Magazine.

  • Artificial intelligence (22.99%)
  • Operations research (6.28%)
  • Microbiology (5.67%)

What are the most cited papers published in the journal?

  • From Data Mining to Knowledge Discovery in Databases (3439 citations)
  • Collective Classification in Network Data (1460 citations)
  • Design prototypes: a knowledge representation schema for design (1399 citations)

Research areas of the most cited articles at Ai Magazine:

The published articles focus largely on the fields of Artificial intelligence, Management science, Human–computer interaction, Operations research and Knowledge management. Machine learning and Natural language processing are some topics wherein Artificial intelligence research discussed in the published papers has an impact. The most cited articles explore issues in Human–computer interaction which can be linked to other research areas like User interface, Multimedia, Task (project management), Intelligent decision support system and Software.

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

  • Artificial intelligence
  • Bacteria
  • World War II

The previous edition focused in particular on these issues:

The journal was organized to reinforce research efforts on Microbiology, Antibiotics, Veterinary medicine, Antibiotic resistance and Agar diffusion test. It facilitates discussions on Microbiology that incorporate concepts from other fields like Probiotic, Biofilm, Pathogenic bacteria and Staphylococcus aureus. While Antibiotics is the focus of it, it also provided insights into the studies of Typhoid fever, Antimicrobial, Salmonella typhi, Salmonella and Streptococcus.

The research on Antibiotic resistance featured in it combines topics in other fields like Pseudomonas aeruginosa and Carbapenem. Potency research featured in Ai Magazine incorporates concerns from various other topics such as Food science and Escherichia coli. Fermentation is a major topic of Food science research presented in it.

The most cited articles from the last journal are:

  • Phage Display Technology, Phage Display System, Antibody Library, Prospects and Challenges (1 citations)
  • Aflatoxin Contamination of Garri Sold in Some Selected Markets in Benue State, North Central, Nigeria (0 citations)
  • Isolation of Multi-Drug Resistant (MDR) and Extensively Drug Resistant (XDR) Salmonella typhi from Blood Samples of Patients Attending Tertiary Medical Centre in Dhaka City, Bangladesh (0 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 Ai Magazine (based on the number of publications) are:

  • 知行 緒方 (119 papers) absent at the last edition,
  • 陽介 島田 (36 papers) absent at the last edition,
  • かずこ おおや (34 papers) absent at the last edition,
  • 聡子 桑原 (27 papers) absent at the last edition,
  • 美和子 太田 (24 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 Ai Magazine (based on the number of publications) are:

  • Carnegie Mellon University (51 papers) absent at the last edition,
  • Massachusetts Institute of Technology (42 papers) absent at the last edition,
  • University of Southern California (39 papers) absent at the last edition,
  • IBM (34 papers) absent at the last edition,
  • Georgia Institute of Technology (27 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, 97.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% 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 100.00% 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.

Career Prospects in the Field of Artificial Intelligence and Research

The field of artificial intelligence and research holds numerous exciting and lucrative career opportunities. With the significant technological advancements, individuals with expertise in AI, machine learning, or cognitive science are highly sought after. Whether you are interested in becoming a high school history teacher in Hawaii or want to pursue a career as a microbiologist, AI skills can diversify your career opportunities. For instance, a high school history teacher in Hawaii, equipped with practical skills in AI, can incorporate modern teaching techniques. By using AI-powered platforms and teaching aids, the individual can create a stimulating learning environment conducive to the needs of 21st-century learners. Likewise, a career as a microbiologist can also greatly benefit from AI skills. With AI's help, researchers can analyze complex datasets, detect patterns more efficiently, and even aid in the development of new drugs and treatments. The intersectionality of AI with other fields creates vast new possibilities. The Ai Magazine serves as an excellent platform for such innovative scholars and professionals to showcase their groundbreaking research and add to the collective research repository.

Top Publications

  • The Third AI Summer: AAAI Robert S. Engelmore Memorial Lecture

    (2022)
    81 Citations
  • Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence

    (2022)
    75 Citations
  • Explainability in Music Recommender Systems

    (2022)
    67 Citations
  • Escaping the McNamara Fallacy: Towards more Impactful Recommender Systems Research

    Dietmar Jannach;Christine Bauer

    (2020)
    66 Citations
  • Offline Recommender System Evaluation: Challenges and New Directions

    (2022)
    54 Citations
  • Progress in Recommender Systems Research: Crisis? What Crisis?

    (2022)
    47 Citations
  • Designing for human-AI complementarity in K-12 education

    (2021)
    46 Citations
  • Know, Know Where, KnowWhereGraph: A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence

    (2022)
    43 Citations
  • Recommender Systems: Past, Present, Future

    (2022)
    41 Citations
  • Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems

    (2022)
    40 Citations

Related Online Degrees & Career Pathways

For students interested in studying Computer Science in the USA, exploring related online degree options can offer flexibility and faster entry into the workforce. Many learners consider the easiest degree to get as a way to balance education with other commitments, although it’s important to choose programs that provide solid foundational skills.

Online associate degrees are a practical starting point. Some programs can be completed in as little as six months, allowing students to gain essential knowledge and quickly qualify for entry-level tech jobs. For those interested, checking out the online associate degree options is a great way to find accelerated, reputable courses.

If your goal is to earn a full bachelor’s degree but with a quicker timeline, many accredited programs offer accelerated bachelor's degree online accredited pathways. These programs appeal to motivated students looking to fast-track their careers in competitive fields like software development, cybersecurity, and data science.

Ultimately, degrees linked to tech and computer science tend to rank among the highest earning degrees. Pursuing related online study routes can therefore lead to rewarding career opportunities with strong salaries and growth potential.

Best Scientists Contributing to This Journal

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