Ecological Informatics

Top Research Topics at Ecological Informatics?

Ecological Informatics mainly deals with areas of study such as Ecology, Artificial intelligence, Habitat, Statistics and Machine learning. Most of the Ecology studies addressed also intersect with Physical geography. The journal dives deep in exploring the relationship between the study of Artificial intelligence and Pattern recognition.

The work on Habitat addressed in the journal expands to the thematically related Environmental resource management. Discussions in Ecological Informatics are anchored in the subject of Species distribution and the similar topic of Climate change.

• Ecology (31.99%)
• Artificial intelligence (17.67%)
• Habitat (11.26%)

What are the most cited papers published in the journal?

• A novel numerical optimization algorithm inspired from weed colonization (921 citations)
• A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors (478 citations)
• Spatial bias in the GBIF database and its effect on modeling species' geographic distributions (262 citations)

Research areas of the most cited articles at Ecological Informatics:

The most cited papers are organized to reinforce research efforts on Ecology, Artificial intelligence, Habitat, Machine learning and Data mining. In addition to Ecology research, the journal articles aim to explore topics under Physical geography and Environmental resource management. The journal papers hold forums on Habitat that merge themes from other disciplines such as Cartography and Range (biology).

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

• Ecology
• Artificial intelligence
• Statistics

The previous edition focused in particular on these issues:

The scientific interests tackled in the journal are Artificial intelligence, Pattern recognition, Deep learning, Ecology and Habitat. The studies in Artificial intelligence featured incorporate elements of Machine learning and Identification (information). The research on Pattern recognition tackled can also make contributions to studies in the areas of Artificial neural network and Feature (computer vision).

Specifically, studies on Ecology (disciplines) are prevalent in the Ecology works discussed. The work on Habitat tackled in the journal brings together disciplines like Abundance (ecology), Range (biology), Climate change, Hydrology and Vegetation. Aside from discussions in Climate change, Ecological Informatics also deals with the subject of Species distribution which intersects with Biodiversity disciplines.

The most cited articles from the last journal are:

• Plant leaf disease classification using EfficientNet deep learning model (24 citations)
• A novel CNN-LSTM-based approach to predict urban expansion (10 citations)
• A reporting format for leaf-level gas exchange data and metadata (9 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 Ecological Informatics (based on the number of publications) are:

• George B. Arhonditsis (22 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Peter Goethals (17 papers) published 1 paper at the last edition the same number as at the previous edition,
• Dong-Kyun Kim (14 papers) absent at the last edition,
• Bert Bredeweg (13 papers) absent at the last edition,
• Tae-Soo Chon (13 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 Ecological Informatics (based on the number of publications) are:

• Chinese Academy of Sciences (76 papers) published 18 papers at the last edition, 13 more than at the previous edition,
• University of Toronto (26 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Pusan National University (24 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Ghent University (20 papers) published 1 paper at the last edition the same number as at the previous edition,
• Centre national de la recherche scientifique (18 papers) published 1 paper at the last edition, 3 less than 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, 9.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.21% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.63% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.74% of all publications and 70.42% 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.