| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 76 | 567 | 594 | 48 |
The foci of Communications of The ACM are Programming language, Algorithm, Artificial intelligence, World Wide Web and Computer security. Discussions in it are anchored in the subject of Artificial intelligence and the similar topic of Natural language processing.
The most cited papers aim to foster the development of research in Artificial intelligence, World Wide Web, Programming language, Algorithm and Computer security. The published papers connects the study in Artificial intelligence with the closely related areas of Natural language processing.
The journal investigates studies in Perspective (graphical), Computer security, Artificial intelligence, Software engineering and Internet privacy. The studies tackled, which mainly focus on Artificial intelligence, apply to Machine learning as well. It focuses on Internet privacy research which is adjacent to topics in The Internet.
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 Communications of The ACM (based on the number of publications) are:
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 Communications of The ACM (based on the number of publications) are:
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.
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, 27.35% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.47% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.47% of all publications and 44.71% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
If you find yourself interested in the topics covered in "Communications of The ACM" and are considering putting your knowledge into practice, starting a career in artificial intelligence (AI) and natural language processing (NLP) can be an excellent move. Before you dive in, it's crucial to understand what these fields are all about. AI, as the name suggests, involves developing systems or machines that demonstrate human intelligence. On the other hand, Natural Language Processing, a branch of AI, focuses on the interaction between computers and human language. The first step to breaking into these fields is gaining a strong foundational knowledge in computer science. Typically, a bachelor's degree in computer science, mathematics, or a related field is required. Understanding programming languages such as Python, Java or C++ is also essential since developing AI and NLP solutions involve a lot of coding. Besides, interested individuals could gain significant insights from digital resources, such as online courses, webinars, and workshops. Universities and tech companies often conduct these programs. Moreover, if you want to advance in these fields, consider acquiring an advanced degree such as a Master's or Ph.D. This will provide a much deeper understanding of the theoretical aspects of AI and NLP and prepare you for more complex roles. AI and NLP practitioners can take up roles such as AI Specialist, AI Engineer, and NLP Scientist. However, if you wish to work with young learners, another interesting role to consider could be a preschool teacher assistant in Oregon. This might require additional certification. To learn more about this, you can check our resource on teacher assistant certificate requirements in Oregon. Remember, the journey to a successful career in AI and NLP is a marathon, not a sprint. So, keep learning, stay curious, and dedicate yourself to continuous growth and development. Good luck with your career endeavors!
Ian Goodfellow;Jean Pouget-Abadie;Mehdi Mirza;Bing Xu
(2020)Chiyuan Zhang;Samy Bengio;Moritz Hardt;Benjamin Recht
(2021)Unknown
(2021)Timnit Gebru;Jamie Morgenstern;Briana Vecchione;Jennifer Wortman Vaughan
(2021)Roy Schwartz;Jesse Dodge;Noah A. Smith;Oren Etzioni
(2020)Keisuke Sakaguchi;Ronan Le Bras;Chandra Bhagavatula;Yejin Choi
(2021)Yoshua Bengio;Yann Lecun;Geoffrey Hinton
(2021)Alexandra Chouldechova;Aaron Roth
(2020)Sorelle A. Friedler;Carlos Scheidegger;Suresh Venkatasubramanian
(2021)Paul Kocher;Jann Horn;Anders Fogh;Daniel Genkin
(2020)Exploring online degree options can open up numerous career opportunities in the field of Computer Science. For those interested in foundational education, pursuing the cheapest engineering degree programs offers an affordable way to gain essential technical skills and knowledge. These programs often provide flexibility and practical experience that's valuable in many tech careers.
If you're passionate about creativity and technology, online video game programs combine software development with design principles, preparing students for roles in game development, interactive media, and entertainment technology.
Security remains a critical concern across industries, making online cybersecurity degree programs highly sought-after. These degrees equip learners with skills to protect information systems and respond to cyber threats effectively.
For advanced data handling and analytical roles, pursuing one of the best data science master's programs online can be a strategic move. These programs emphasize data-driven decision-making and advanced computational techniques crucial for many tech-driven industries today.
By leveraging these various online degrees, students can tailor their educational path to fit their career goals in the ever-evolving tech landscape.
