| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Earth Science | 433 | 17 | 19 | 7 |
| Environmental Sciences | 494 | 25 | 29 | 10 |
| Engineering and Technology | 519 | 39 | 72 | 16 |
The scientific interests tackled in Journal of Hydroinformatics are Mathematical optimization, Hydrology, Artificial neural network, Data mining and Artificial intelligence. The study on Mathematical optimization presented in it intersects with subjects under the field of Algorithm. Presentations on Hydrology include those discussing Surface runoff and Water quality.
The study on Water quality presented is investigated in conjunction with research in Environmental engineering. Artificial intelligence study tackled is connected to the field of Machine learning.
The most cited articles focus largely on the fields of Mathematical optimization, Artificial neural network, Artificial intelligence, Hydrology and Data mining. The most cited articles facilitate discussions on Mathematical optimization that incorporate concepts from other fields like Calibration (statistics), Algorithm and Set (abstract data type). The works on Artificial intelligence tackled in the most cited articles bring together disciplines like Machine learning, Nonlinear system and Pattern recognition.
The concepts of Hydrology, Groundwater, Remote sensing, Mechanics and Mathematical optimization are tackled in Journal of Hydroinformatics. It is focused mainly on Hydrology, particularly Drainage basin. The journal explores research in Remote sensing and the adjacent study of Calibration (statistics).
The study on Mechanics presented in it intersects with the topics under Transient (oscillation).
A key indicator for each journal 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 in Journal of Hydroinformatics (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Journal of Hydroinformatics (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
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, 5.13% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.81% of all publications and 56.76% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal 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 journal in relation to all participants in a given year.
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.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, 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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Mohammad Najafzadeh;Giuseppe Oliveto
(2020)Maarten van Ormondt;Kees Nederhoff;Ap van Dongeren
(2020)Ilhan Özgen-Xian;Georges Kesserwani;Daniel Caviedes-Voullième;Sergi Molins
(2020)Yujie Li;Yujie Li;Zhongmin Liang;Yiming Hu;Binquan Li
(2020)Ahmad Sharafati;Ali Tafarojnoruz;Zaher Mundher Yaseen
(2020)Herath Mudiyanselage Viraj Vidura Herath;Jayashree Chadalawada;Vladan Babovic
(2021)E. Nikoloudi;M. Romano;F.A. Memon;Z. Kapelan;Z. Kapelan
(2021)Ahmad Sharafati;Ali Tafarojnoruz;Davide Motta;Zaher Mundher Yaseen
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