Location: vENICE , Italy
Conference dates: 4/23/2023 - 4/28/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 818 | 8 | 7 | 4 |
The scientific conference ranking presented on this page meticulously lists leading conferences in the field of Business and Management. Developed by Research.com, a preeminent authority in providing trusted data on scientific research contributions since 2014, this ranking reflects a rigorous and transparent evaluation process. Research.com specializes in comprehensive analyses across all major fields of science, including Business and Management, ensuring credibility and relevance through established methodologies.
The position of each conference within the ranking is determined by an exclusive bibliometric score engineered by Research.com. This score synthesizes the estimated h-index with the number of distinguished scientists who have participated in the conference over the preceding three years. Data was collected as of 2024-11-27 to calculate current Impact Score values, providing an up-to-date and authoritative reflection of each conference’s scientific influence and reach.
The ranking process encompassed a thorough review of over 216 conferences, which were selected following a detailed inspection and a rigorous examination of more than 727 scientific documents published in the last three years. The evaluation considered the contributions of 2,177 leading and highly respected scientists in the domain of Business and Management, underscoring the depth and complexity of the analysis conducted by domain experts.
For a comprehensive overview of the methodology and the precise calculation of ranking scores, please refer to our Methodology Page.
A key indicator for each conference 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 at International Conference on the Digital Society (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at International Conference on the Digital Society (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
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 2017 edition, 20.00% 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 at the conference. Another 50.00% 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 50.00% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.
Considering the vast range of research topics discussed at the International Conference on the Digital Society, many people might decide to further their knowledge in this area. If that's the case, Michigan might be the right place to consider acquiring more specialized skills through a transcendent educational program. Having several great business schools in Michigan shapes this area into a hub for aspiring professionals seeking knowledge about the Digital Society, complementing the academic initiatives with a rich and diverse business background. Therefore, expedition in this knowledge area will surely be a rewarding option for those aiming to be part of the dynamic and evolving digital age.
For students interested in Computer Science, exploring specialized online degrees can open doors to various cutting-edge career paths. Programs such as an online masters data science are increasingly popular for those looking to dive into big data analytics, machine learning, and predictive modeling. These skills are critical in sectors ranging from healthcare to finance.
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Additionally, an applied artificial intelligence degree prepares students for innovative roles in automation, robotics, and smart technologies. This pathway is perfect for those passionate about shaping the future with intelligent systems and algorithms.
Indian Statistical Institute
University of Granada
University of Granada
University of Modena and Reggio Emilia
Peking University
University of Colorado Colorado Springs
Pakistan Institute of Engineering and Applied Sciences
Yonsei University
University of Edinburgh
Indian Statistical Institute
Auburn University
University of Memphis
