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IEEE

IEEE SOLI 2025 — IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

Location: Singapore Institute of Technology, Singapore , Singapore

Conference dates: 9/28/2025 - 9/30/2025

Research H-index
3

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 976 9 9 3

Call for Papers

SOLI is an IEEE ITS Society-sponsored conference on service operations, logistics and informatics, bridging operations research, AI and information systems. It invites original contributions on logistics and supply chain, service operations, generative AI in logistics, intelligent transportation systems, blockchain, cloud computing, smart manufacturing. Submissions may take the form of full research papers, extended abstracts and poster presentations reporting theoretical, computational and experimental work, as well as industrial case studies and applications. The meeting brings together researchers, engineers, industry practitioners and students to exchange recent results and discuss emerging directions in the field. Accepted papers are published in the conference proceedings and submitted to IEEE Xplore.

Overview

This authoritative ranking presents the leading scientific conferences within the field of Computer Science, meticulously curated by Research.com, a prominent and trusted platform for science research and data spanning all major scientific domains. Since 2014, Research.com has been providing reliable and comprehensive data on scientific contributions, and its conference ranking stands as a testament to its commitment to data integrity and academic insight.

The position of each conference in this ranking is determined by a unique bibliometric score developed by Research.com. This score is calculated through a rigorous process, leveraging the estimated h-index as well as the number of prominent scientists who have presented at the conference during the last three years. This multidimensional approach ensures that both the impact and the influence of the conferences are accurately reflected.

The ranking features Impact Score values collected as of 2024-11-27, guaranteeing the most up-to-date and relevant data available. The comprehensive evaluation process involved the initial consideration of more than 2,742 conferences, which were subjected to a detailed and rigorous review. This examination drew on over 148,739 scientific documents published in the past three years by a cohort of 13,184 leading and well-respected scientists specializing in Computer Science.

This robust methodology highlights the depth and complexity of analysis undertaken by experts in the creation of this ranking, reinforcing its value as a trusted resource for academics, researchers, and institutions aiming to identify the most influential conference venues in Computer Science. For a thorough explanation of the process and criteria used to compute the 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 Service Operations and Logistics, and Informatics (based on the number of publications) are:

  • Gang Xiong (39 papers) absent at the last edition,
  • Timo R. Nyberg (24 papers) absent at the last edition,
  • Jin Dong (21 papers) absent at the last edition,
  • Changrui Ren (19 papers) absent at the last edition,
  • Qinhua Wang (12 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 Service Operations and Logistics, and Informatics (based on the number of publications) are:

  • IBM (121 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Chinese Academy of Sciences (69 papers) absent at the last edition,
  • Beijing Jiaotong University (39 papers) absent at the last edition,
  • Shanghai Jiao Tong University (32 papers) absent at the last edition,
  • Aalto University (24 papers) absent 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, 18.18% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 61.11% 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 considering a future in Computer Science, expanding their expertise through related online degrees can open diverse career opportunities. One popular option is pursuing a data analytics masters programs, which equip graduates with skills to interpret complex data and drive business decisions.

For those interested in advanced research roles, enrolling in an online data science doctorate program offers a flexible pathway to develop expertise in machine learning, AI, and big data technologies, critical for cutting-edge innovations.

Interdisciplinary studies are also gaining traction. A degree in bioinformatics combines computer science with biology, opening doors to specialized roles in healthcare and biotechnology. More information on jobs for bioinformatics degree holders highlights this promising field.

Additionally, combining tech skills with healthcare knowledge is possible through various medical degrees online. These programs allow students to bridge the gap between technology and medicine, offering new career pathways in health informatics and medical technology.

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