World's Best Scientists 2026 revealed!
OSA Publishing

Photonics in Switching and Computing (PS)

Location: Mantova , Italy

Conference dates: 9/26/2023 - 9/29/2023

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 288 103 167 6
Engineering and Technology 242 14 19 3

Call for Papers

Technical Scope
P1. Photonic Switching Devices, Systems, and Networks
1) Photonic Switching Devices and Building Blocks
Integrated photonic technologies for switching subsystems and modules
Silicon photonic switching devices using monolithic and heterogeneous integration technologies Nanophotonic metamaterial and plasmonic switching devices
Novel materials and phenomena for switching
Tunable devices for wavelength switching and routing
All-optical, electronic, and hybrid-optoelectronic technologies for switching
2D and 3D MEMS/LCOS switches and wavelength-selective switches
Optical cross-connects and ROADMs
Optical switches for space/mode division multiplexing
2) Photonic Switching Systems and Functionalities
Optical signal processing, regeneration, impairment compensation, and performance monitoring Advanced modulation and coding/decoding techniques
Modelling, design, implementation, impairment mitigation, algorithms for advanced switching functionalities
Microwave photonic devices and systems
Converged mobile and optical access networks
SDM technologies for photonic switching and networking
3) Photonic Switching Networks and Controls
Energy-efficient switches, network architectures, and algorithms
Switching systems, architectures, and network integrations
Optical circuit-, burst-, slot-, and packet-switching systems and networking
Optical grooming and aggregation techniques
Software defined networking (SDN) and control plane integration for photonic networks
Next-generation GMPLS and OpenFlow
Optical network control, management, and security
Machine learning in optical communication network
Photonic network testbeds and field trials
P2. Photonics for Computing and Deep Learning Applications
1) Photonics for Innovative Computing
Photonics in neuromorphic computing and machine learning devices
Optical neural networks and reservoir computing
Silicon photonic and nanophotonic devices for computing applications
Highly parallelized scalable photonic computing architectures and devices
Ising machines and building blocks
Photonic enabling technologies and devices for quantum computing and communication
Optics to memory and optical RAM
Photonic ASIC/FPGA for computing
2) Photonic Technologies for Datacenter and High-Performance Computing
On-chip optical interconnection and networking
On-board optics and co-packaged optics for high-capacity interconnects
Parallel data links and space division multiplexing for high-density interconnection
Large-scale switching technologies for data center (DC) and high-performance computing (HPC) systems
Inter- and hyper-scale intra-DC networks
3) Photonic Networks for Computing and Big Data Applications
Fog/edge computing infrastructure and applications
Network function virtualization (NFV) at edges/datacenters
Internet of Things (IoT) aware systems and applications
Photonic networking/switching system designs and architectures for computing and big data
Availability/reliability/disaster recovery in big data-oriented computing systems
Resource provisioning/metering/monitoring of computing and big-data-oriented systems
Software defined networking (SDN) for computing and big data control
Green systems for computing and big data environment
Optical network requirements for machine learning and distributed deep learning

Overview

This comprehensive ranking showcases the leading scientific conferences within the field of Engineering and Technology. Developed by Research.com—one of the foremost platforms for science research across all major disciplines—this ranking underscores a commitment to accuracy and trustworthiness, leveraging reliable data on scientific contributions since 2014.

The placement of each conference in this ranking is determined by a unique bibliometric score, meticulously created by Research.com. This score is calculated based on the estimated h-index of the conference and the number of eminent scientists who have participated in the event during the most recent three years. The included Impact Score values were collected as of 2024-11-27, ensuring that the data reflects the most current impact and influence within the academic community.

The analytical process behind the ranking is distinguished by its thoroughness and rigor. Experts conducted an extensive review of more than 2,262 conferences in Engineering and Technology, carefully selected through a detailed vetting process. This assessment involved the examination of over 26,934 scientific documents published in the last three years, authored by 9,385 prominent and respected scientists in the domain. Such a robust methodology guarantees that only the most impactful and credible conferences are represented.

For those interested in a deeper understanding of the methodology and metrics utilized in this ranking, a comprehensive explanation is available on 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 Photonics in Switching (based on the number of publications) are:

  • Naoya Wada (50 papers) published 9 papers at the last edition,
  • Ken-ichi Sato (27 papers) published 3 papers at the last edition,
  • Shu Namiki (27 papers) published 2 papers at the last edition,
  • Takehiro Tsuritani (26 papers) published 8 papers at the last edition,
  • Ken-ichi Kitayama (24 papers) absent 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 Photonics in Switching (based on the number of publications) are:

  • Nippon Telegraph and Telephone (115 papers) published 32 papers at the last edition, 31 more than at the previous edition,
  • Osaka University (75 papers) published 15 papers at the last edition,
  • Sant'Anna School of Advanced Studies (59 papers) published 8 papers at the last edition,
  • National Institute of Information and Communications Technology (52 papers) published 22 papers at the last edition,
  • Beijing University of Posts and Telecommunications (50 papers) published 22 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 2019 edition, 5.72% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.22% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.84% of all publications and 30.58% 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.

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