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IEEE

IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)

Location: Las Vegas , United States

Conference dates: 1/22/2023 - 1/25/2023

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 271 17 49 7

Call for Papers

Papers featuring innovative work are solicited in (but not limited to) the following areas:
• Wireless Sensors for Communication, Radar, Positioning and Imaging Applications
• Wireless Sensors for Localization and Tracking
• Wireless Integrated Sensors, Front-Ends and Building Blocks
• Wireless Sensors for Harsh Environments, Environmental, Health, Home and
Commercial Applications
• Wireless Sensors Networks, Smart Sensor Systems, and Autonomous Networking
• RFID Sensors and Sensor Tags
• Sensor Networks for Sensor Network Topologies and Sensor Network
Communication Architecture
• Coexistence, Synchronization and Scheduling in Hybrid and Social Networks
• Cryptography, Security, Privacy Issues in Ad-Hoc, Sensor and Mesh Networks
• Six-Port and Multi-Port Technology
• Internet of Things Hardware, Protocols and Applications
• Wireless Sensors Applications in Wearable Computing and Body Area Nets
• QoS Aware Design: Energy Optimization and Deployment Techniques Large, Dense and
Dynamic Network Topologies

Overview

The scientific conference ranking featured on this page presents a comprehensive evaluation of conferences in the field of Electronics and Electrical Engineering. This ranking has been meticulously prepared by Research.com, a premier platform recognized for providing trusted data and insights on scientific research across a broad spectrum of disciplines, including Electronics and Electrical Engineering. Since 2014, Research.com has been dedicated to supporting the global research community with authoritative and reliable metrics.

Conference positions in this ranking are determined by a proprietary bibliometric score designed by Research.com. This unique metric incorporates an estimated h-index and takes into account the number of leading scientists who have participated in each conference over the three most recent years. The included Impact Score values were compiled as of 2024-11-27, ensuring the relevance and timeliness of the data provided.

The ranking process entailed a rigorous and systematic evaluation, initially considering more than 2,204 scientific conferences. After detailed inspection and in-depth analysis of over 95,378 scientific documents published during the last three years, and contributions from 6,160 prominent and respected scientists in the field, the final selection of conferences has been established. This extensive and methodical approach underscores both the depth of research and the expert analysis that underpin the credibility of the ranking.

For those interested in understanding the detailed methodology employed in calculating the conference ranking scores, comprehensive information 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 Topical Conference on Wireless Sensors and Sensor Networks (based on the number of publications) are:

  • Robert Weigel (37 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Alexander Koelpin (30 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Fabian Lurz (18 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Changzhi Li (16 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Sarah Linz (11 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 Topical Conference on Wireless Sensors and Sensor Networks (based on the number of publications) are:

  • University of Erlangen-Nuremberg (48 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Texas Tech University (16 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Fraunhofer Society (9 papers) absent at the last edition,
  • Brandenburg University of Technology (8 papers) absent at the last edition,
  • University of Kitakyushu (8 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 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.11% were posted by at least one author from the top 10 institutions publishing at the conference. Another 26.32% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.79% of all publications and 15.79% 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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