World's Best Scientists 2026 revealed!
IEEE

International Conference on Multisensor Fusion and Integration (MFI)

Location: Cranfield , United Kingdom

Submission deadline: 7/7/2022

Conference dates: 9/20/2022 - 9/22/2022

Research H-index
8

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 517 26 49 7

Call for Papers

Topics
Theory:
Probability theory, Bayesian inference, nonlinear estimation, Dempster-Shafer, fuzzy sets, logic, machine learning, neural networks, distributed architectures and performance assessment



Sensors:
RGB cameras, depth cameras, neuromorphic imaging, radar and sonar devices, lidar, infrared sensors, IMU, gyroscopes



Algorithms:
Multi-target, multi-source tracking and localization, SLAM, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, recognition, visual servoing, learning by demonstration



Applications:
Autonomous Driving, Sensor networks, multi-robot systems, distributed and cloud robotics, bio-inspired systems, service robots, automation, biomedical applications, autonomous vehicles (land, sea, air), manipulation planning and control, multifinger hands, micro/nano systems, surveillance, multimodal interface and human robot interaction, navigation, Internet-of-Things, smart cities, cyber-physical systems, Industry 4.0, search/rescue/audition, field robotics, swarm robotics, force and tactile sensing, surgical robotics, humanoids, soft-bodied robots



Performance Assessment:
Assessing the performance of multi-sensor systems in the presence of noise and uncertain ground truth, uncertainty modelling for machine learning models,

Industry Session
Many advances in the field of Multi-sensor data fusion are achieved outside of the traditional academic sphere. However, for many researchers in industry it is difficult to dedicate the time necessary to write full papers. Therefore, we will hold an dedicated industry session and invite researchers from industry to submit an abstract for presentation within a dedicated, without publication of the paper.

Overview

This comprehensive ranking presents a curated list of scientific conferences in the field of Computer Science, meticulously evaluated to provide the academic community with reliable and up-to-date insights. Developed by Research.com—one of the foremost authorities in science research data since 2014—this ranking reflects the organization’s longstanding commitment to delivering trusted analyses and transparent metrics across all major research disciplines, including Computer Science.

The ranking’s methodology is grounded in a proprietary bibliometric score, uniquely constructed by Research.com. This score draws upon two essential indicators: the estimated h-index and the count of leading scientists who have participated in each conference during the preceding three years. Through this approach, the ranking aims to capture both the scholarly impact and the sustained engagement of premier researchers at each event.

Impact Score values, utilized in this evaluation, were assembled as of 2024-11-27, ensuring the data’s timeliness and relevance. The process entailed the examination of over 2,742 conferences, each selected through a thorough and rigorous assessment of suitability and academic contribution. This exhaustive review included a close analysis of more than 148,739 scientific documents published within the last three years by a distinguished group of 13,184 leading and well-respected scientists in Computer Science.

This ranking reflects the depth and complexity of expert-driven analysis, aiming to serve as a trusted resource for researchers, academic institutions, and professionals seeking authoritative guidance on conference quality and impact within the discipline. For a comprehensive explanation of our approach and the specific criteria underlying the computation of ranking scores, please refer to our Methodology Page.

Papers citation over time

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 Multisensor Fusion and Integration for Intelligent Systems (based on the number of publications) are:

  • Marcus Baum (6 papers) published 6 papers at the last edition,
  • Uwe D. Hanebeck (6 papers) published 6 papers at the last edition,
  • Nageswara S. V. Rao (5 papers) published 5 papers at the last edition,
  • Songhwai Oh (5 papers) published 5 papers at the last edition,
  • Xiuyi Fan (4 papers) published 4 papers at the last edition.

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 Multisensor Fusion and Integration for Intelligent Systems (based on the number of publications) are:

  • University of Göttingen (6 papers) published 6 papers at the last edition,
  • Karlsruhe Institute of Technology (6 papers) published 6 papers at the last edition,
  • Seoul National University (6 papers) published 6 papers at the last edition,
  • Oak Ridge National Laboratory (5 papers) published 5 papers at the last edition,
  • Fraunhofer Society (5 papers) published 5 papers at the last edition.

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.

Publication chance based on affiliation

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, 4.10% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.46% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.21% of all publications and 17.95% were from other institutions.

Returning Authors Index

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.

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 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:

  • 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.

Related Online Degrees & Career Pathways

For students interested in Computer Science, exploring related online degrees can open doors to diverse career opportunities. For example, those intrigued by human behavior and technology might consider an online accelerated psychology degree, which offers a faster route to gain essential knowledge that complements tech skills.

Cost is often a significant factor when choosing an online program. Many platforms provide options like an online psychology degree cost breakdown to help prospective students make informed financial decisions without compromising quality.

For those passionate about creative computing, pursuing a game development degree online can be an ideal path. This specialized program blends computer science with design, programming, and storytelling skills, preparing students for the dynamic gaming industry.

Cybersecurity is another booming field linked to Computer Science. An online cyber security degrees program offers essential expertise on protecting digital infrastructure, making graduates highly sought after in today's security-conscious market.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles