PROMET - Traffic&Transportation

948 papers and 5.2k indexed citations
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About

The 948 papers published in PROMET - Traffic&Transportation in the last decades have received a total of 5.2k indexed citations. Papers published in PROMET - Traffic&Transportation usually cover Transportation (324 papers), Building and Construction (268 papers) and Industrial and Manufacturing Engineering (195 papers) specifically the topics of Transportation Planning and Optimization (254 papers), Traffic Prediction and Management Techniques (160 papers) and Traffic control and management (149 papers). The most active scholars publishing in PROMET - Traffic&Transportation are Muhammed Yasin Çodur, Danijela Barić, Borna Abramović, Hui Han, Eva Ponce-Cueto, Zoltán Bokor, Sebastian Kot, Ahmet Tortum, Snežana Tadić and Csaba Csiszár.

In The Last Decade

PROMET - Traffic&Transportation

826 papers receiving 4.8k citations

Fields of papers published in PROMET - Traffic&Transportation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in PROMET - Traffic&Transportation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in PROMET - Traffic&Transportation.

Countries where authors publish in PROMET - Traffic&Transportation

Since Specialization
Citations

This map shows the geographic impact of research published in PROMET - Traffic&Transportation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in PROMET - Traffic&Transportation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PROMET - Traffic&Transportation more than expected).

A Data Mining Approach to Identify Key Factors of Traffic Injury Severity 2012 2026 2016 2021 48
  1. A Data Mining Approach to Identify Key Factors of Traffic Injury Severity (2012)

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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