Éva Ivits

1.5k citations
32 papers · 1.2k · h-index 20

Impact in

    • Species Distribution and Climate Change
    • Land Use and Ecosystem Services
    • Plant Water Relations and Carbon Dynamics
    • Hydrology and Drought Analysis
    • Climate variability and models

Papers in

Éva Ivits

32 papers receiving 1.2k citations

Peers

Éva Ivits
Comparison fields: 5 of 62
  • Ecological Modeling 193
  • Global and Planetary Change 675
  • Ecology 619
  • Soil Science 167
  • Environmental Engineering 231
Replace Roland A. Geerken with:
Roland A. Geerken United States
Huiyu Liu China
Poonam Tripathi India
Wanda De Keersmaecker Belgium
Valerio Amici Italy
Mallory L. Barnes United States
Catherine Bodart Italy
Ulf Helldén Sweden
S. P. S. Kushwaha India
Pavel A. Propastin Germany
Éva Ivits relative to Roland A. Geerken United States Roland A. Geerken's profile →
Citations per field
00.5×1.5×2.0×
Roland A. Geerken · 1×
Citations per year

Countries citing papers authored by Éva Ivits

Since Specialization
Citations

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

Fields of papers citing papers by Éva Ivits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éva Ivits. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Éva Ivits. The network helps show where Éva Ivits may publish in the future.

Co-authors

The 25 scholars most cited alongside Éva Ivits, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éva Ivits Line = papers co-authored together Éva Ivits links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 2021106
3 201690
4 200790
5 200879
6 201263
7 201157
8 201357
9 201251
10 201947
11 201046
12 201240
13 200535
14 200833
15 201532
16 200427
17 201325
18 201324
19 202121
20 200621

About Éva Ivits

Éva Ivits is a scholar working on Ecology, Ecological Modeling, Global and Planetary Change, Soil Science and Environmental Engineering, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (19 papers), Land Use and Ecosystem Services (11 papers), Species Distribution and Climate Change (9 papers), Plant Water Relations and Carbon Dynamics (8 papers), Remote Sensing and LiDAR Applications (5 papers), Ecology and Vegetation Dynamics Studies (4 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Botany and Plant Ecology Studies (3 papers). The work is most often cited by research in Ecological Modeling (193 citations), Global and Planetary Change (675 citations), Ecology (619 citations), Soil Science (167 citations) and Environmental Engineering (231 citations). Éva Ivits has collaborated with scholars based in Italy, Denmark and Germany. Frequent co-authors include Michael Cherlet, Rasmus Fensholt, Stéphanie Horion, Stefan Sommer, Wolfgang Mehl, Gergely Tóth, Barbara Koch, Markus Erhard, Torbern Tagesson and Katarzyna Ewa Lewińska. Their work appears in journals such as Ecological Indicators, Remote Sensing, Environmental Modeling & Assessment, Global Ecology and Biogeography and Land Degradation and Development.

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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