Environmental Modelling and Software

Top Research Topics at Environmental Modelling and Software?

The journal generally zeroes in on subjects such as Hydrology, Environmental resource management, Software, Data mining and Process (engineering). Drainage basin, Surface runoff, Watershed, Water quality and Groundwater studies are all carried out as a component of the study in Hydrology presented. The in-depth study on Environmental resource management also explores topics in the intersecting field of Decision support system.

The journal links adjacent topics like Data mining with Artificial intelligence.

• Hydrology (12.36%)
• Environmental resource management (9.46%)
• Software (8.70%)

What are the most cited papers published in the journal?

• Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications (1818 citations)
• Using spatial interpolation to construct a comprehensive archive of Australian climate data (1383 citations)
• Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan (1139 citations)

Research areas of the most cited articles at Environmental Modelling and Software:

The journal articles generally zeroe in on subjects such as Hydrology, Process (engineering), Environmental resource management, Decision support system and Data mining. The most cited articles investigate Process (engineering) research which frequently intersects with Management science. The published articles hold forums on Data mining that merge themes from other disciplines such as Artificial neural network, Machine learning, Artificial intelligence and Software.

What topics the last edition of the journal is best known for?

• Ecology
• Statistics
• Artificial intelligence

The previous edition focused in particular on these issues:

The journal is mainly concerned with subjects like Process (engineering), Software, Artificial intelligence, Hydrology and Data mining. The study on Process (engineering) presented is investigated in conjunction with research in Data science. The study on Artificial intelligence presented in Environmental Modelling and Software intersects with subjects under the field of Machine learning.

Watershed and Hydrology (agriculture) are among the areas of Hydrology tackled.

The most cited articles from the last journal are:

• The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (35 citations)
• The proper care and feeding of CAMELS: How limited training data affects streamflow prediction (15 citations)
• Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach (12 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Environmental Modelling and Software (based on the number of publications) are:

• Anthony Jakeman (64 papers) published 4 papers at the last edition, 1 less than at the previous edition,
• Holger R. Maier (56 papers) published 4 papers at the last edition, 2 more than at the previous edition,
• Alexey Voinov (48 papers) published 2 papers at the last edition the same number as at the previous edition,
• Andrea Emilio Rizzoli (29 papers) absent at the last edition,
• Graeme C. Dandy (28 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Environmental Modelling and Software (based on the number of publications) are:

• Commonwealth Scientific and Industrial Research Organisation (190 papers) published 8 papers at the last edition, 1 more than at the previous edition,
• Australian National University (114 papers) published 8 papers at the last edition, 1 more than at the previous edition,
• University of Adelaide (80 papers) published 6 papers at the last edition, 3 more than at the previous edition,
• Wageningen University and Research Centre (73 papers) published 7 papers at the last edition, 4 more than at the previous edition,
• Chinese Academy of Sciences (70 papers) published 8 papers at the last edition the same number as at the previous edition.

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.

Publication chance based on affiliation

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, 4.07% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.34% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.61% of all publications and 49.58% were from other institutions.

Returning Authors Index

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.

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 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:

• 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.