Location: Baltimore , United States
Conference dates: 4/25/2023 - 4/28/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 511 | 20 | 22 | 4 |
| Computer Science | 498 | 41 | 60 | 7 |
| Neuroscience | 7 | 66 | 80 | 7 |
This page presents a comprehensive ranking of scientific conferences in the field of Engineering and Technology, meticulously prepared by Research.com—one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has provided trusted, data-driven insights on scientific contributions, establishing itself as a reliable resource for the academic community.
The ranking is based on a unique bibliometric score, specifically developed by Research.com, which leverages both the estimated h-index and the number of leading scientists who have participated in each conference over the past three years. The Impact Score values displayed here were collected as of 2024-11-27, ensuring the information remains current and relevant for researchers and institutions alike.
The creation of this ranking involved an in-depth and rigorous analytic process. Experts at Research.com examined more than 2,262 conferences chosen following a detailed inspection and critical analysis of over 26,934 scientific documents published in the last three years. Contributions from 9,385 eminent and respected scientists within Engineering and Technology were thoroughly evaluated to ensure comprehensive and impartial conference assessment.
This systematic and sophisticated approach underscores the credibility and reliability of the ranking, reflecting Research.com’s ongoing commitment to excellence and transparency. For an in-depth explanation of the methodologies and criteria employed to compute these rankings, please consult 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 IEEE/EMBS Conference on Neural Engineering (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 IEEE/EMBS Conference on Neural Engineering (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 2015 edition, 4.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.91% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.68% of all publications and 43.22% 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.
While the scope of Neural Engineering is vast and continues to evolve, one of the promising careers in this field is Speech-Language Pathology. A Speech-Language Pathologist not only works on diagnosing and treating speech-related disorders but also plays a vital role in treating neurological conditions like strokes, brain injuries, and autism. They work closely with neural engineers, neurologists, and other healthcare professionals to improve the quality of life for their patients. Encompassing aspects of Neuroscience and utilising technology such as EEG-based emotion recognition, Speech-Language Pathologists contribute significantly to the research discussed at the International IEEE/EMBS Conference on Neural Engineering. This career path offers a direct application of Neural Engineering principles to practical healthcare solutions, and therefore, provides endless research and development opportunities for aspiring professionals. If Neural Engineering, in particular Speech-Language Pathology, sound like promising career paths to you, then the state of New Mexico offers ample opportunities to study and practice in these fields. If you're wondering about how to start your journey towards this exciting career, check out our detailed guide on how to become a speech therapist in New Mexico. This guide provides in-depth information to help you make an informed career choice and get a headstart in this dynamic healthcare speciality.
National University of Singapore
Sant'Anna School of Advanced Studies
Shanghai Jiao Tong University
Italian Institute of Technology
University of California, Berkeley
University of Tübingen
King Abdullah University of Science and Technology
University of California, San Francisco
Trinity College Dublin
Northeastern University
Xidian University
KU Leuven
