World's Best Scientists 2026 revealed!
IEEE

Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

Location: Naples , Italy

Conference dates: 3/1/2023 - 3/3/2023

Research H-index
6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 681 6 6 3
Computer Science 567 36 51 6

Call for Papers

Topics of interest include, but are not restricted to:
Parallel Computing: massively parallel machines; embedded parallel and distributed systems; multi- and many-core systems; GPU and FPGA based parallel systems; parallel I/O; memory organisation.

Distributed and Network-based Computing: Cluster, Grid, Web and Cloud computing; mobile computing; interconnection networks.

Big Data: large scale data processing; distributed databases and archives; large scale data management; metadata; data intensive applications.

Programming models and Tools: programming languages and environments; runtime support systems; performance prediction and analysis; simulation of parallel and distributed systems.

Systems and Architectures: novel system architectures; high data throughput architectures; service-oriented architectures; heterogeneous systems; shared-memory and message-passing systems; middleware and distributed operating systems; dependability and survivability; resource management.

Advanced Algorithms and Applications: distributed algorithms; multi-disciplinary applications; computations over irregular domains; numerical applications with multi-level parallelism; real-time distributed applications.

Overview

This ranking presents a comprehensive evaluation of scientific conferences within the broad field of Computer Science. Prepared by Research.com, a leading authority in science research and a trusted provider of scientific data since 2014, the ranking is designed to guide researchers, professionals, and institutions by offering rigorous and objective insight into the impact of major conferences.

The ranking positions each conference according to a proprietary bibliometric score formulated by Research.com. This score is based on a combination of the estimated h-index and the number of leading scientists who have contributed to these conferences over the preceding three years. The result is a singular metric that captures both the scope and significance of scientific contributions made during this period.

All Impact Score values included in this ranking were collected as of 2024-11-27, ensuring that the data reflects the most recent trends and achievements in the discipline. The creation of this ranking involved a meticulous assessment process, with over 2,742 conferences initially considered. These were selected following an exhaustive review of 148,739 scientific publications produced in the last three years by a total of 13,184 distinguished scientists recognized for their work in Computer Science.

The methodology underlying this ranking is rooted in thorough and complex analysis, harnessing both advanced bibliometric indicators and expert judgment. It is intended to offer a reliable reference point for the academic community. For a detailed explanation of the scoring process and criteria used, 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 Parallel, Distributed and Network-Based Processing (based on the number of publications) are:

  • Igor Kotenko (16 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Juha Plosila (16 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Hannu Tenhunen (15 papers) published 1 paper at the last edition,
  • Masoud Daneshtalab (14 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Philippe O. A. Navaux (14 papers) published 3 papers at the last edition, 1 less than at the previous 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 Parallel, Distributed and Network-Based Processing (based on the number of publications) are:

  • University of Pisa (23 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Information Technology University (20 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Åbo Akademi University (17 papers) published 3 papers at the last edition,
  • Karlsruhe Institute of Technology (12 papers) absent at the last edition,
  • University of Marburg (12 papers) published 2 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, 6.59% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.35% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.65% of all publications and 51.76% 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

As the field of Computer Science continues to evolve, many students explore complementary degrees to expand their expertise and career opportunities. For instance, pursuing a master in data analytics can provide critical skills in interpreting complex datasets, a valuable asset in tech-driven industries.

For those interested in advanced research, an online data science PhD offers deep specialization in algorithms and predictive modeling, bridging the gap between theory and practical implementation.

Emerging interdisciplinary fields like bioinformatics combine biology, computer science, and data analysis. Exploring the bioinformatics career paths reveals roles in healthcare, pharmaceuticals, and research, highlighting the diverse opportunities available to those with computational skills.

Additionally, integrating technology with medicine is increasingly common. Many students interested in health IT or biotechnology pursue medical programs online to gain medical knowledge alongside their technical training, opening doors to innovative career pathways.

Best Scientists who published in this Conference

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