Journal of Hydroinformatics

1.5k papers and 23.8k indexed citations i.

About

The 1.5k papers published in Journal of Hydroinformatics in the last decades have received a total of 23.8k indexed citations. Papers published in Journal of Hydroinformatics usually cover Water Science and Technology (591 papers), Civil and Structural Engineering (556 papers) and Environmental Engineering (545 papers) specifically the topics of Hydrology and Watershed Management Studies (455 papers), Water Systems and Optimization (379 papers) and Hydrological Forecasting Using AI (308 papers). The most active scholars publishing in Journal of Hydroinformatics are Dragan Savić, Orazio Giustolisi, Kwok‐wing Chau, Avi Ostfeld, Dimitri Solomatine, Vladan Babovic, Dawei Han, Zoran Kapelan, Omid Bozorg‐Haddad and C.L. Wu.

In The Last Decade

Fields of papers published in Journal of Hydroinformatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Hydroinformatics. 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 Journal of Hydroinformatics.

Countries where authors publish in Journal of Hydroinformatics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Hydroinformatics. 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 Journal of Hydroinformatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Hydroinformatics more than expected).

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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