Jaber Rahimi

1.3k citations
35 papers · 870 indexed · 1 hit paper · h-index 16

Jaber Rahimi

34 papers receiving 849 citations

Hit Papers

Winter wheat yield prediction using convolutional neural ...1032022202620232024255075100

Peers

Jaber Rahimi
Comparison fields: 5 of 88
  • Global and Planetary Change 432
  • Atmospheric Science 179
  • Water Science and Technology 138
  • Soil Science 87
  • Ecology, Evolution, Behavior and Systematics 165
Replace Massimiliano Pasqui with:
Massimiliano Pasqui Italy
Lindsey Sloat United States
Fabiani Denise Bender Brazil
Cornélio Alberto Zolin Brazil
Sushma Panigrahy India
Asad Amin Australia
Nándor Fodor Hungary
Guillermo N. Murray‐Tortarolo Mexico
Oagile Dikinya Botswana
G. C. S. Negi India
Jaber Rahimi relative to Massimiliano Pasqui Italy Massimiliano Pasqui's profile →
Citations per field
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Massimiliano Pasqui · 1×
Citations per year

Countries citing papers authored by Jaber Rahimi

Since Specialization
Citations

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

Fields of papers citing papers by Jaber Rahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaber Rahimi. 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 Jaber Rahimi. The network helps show where Jaber Rahimi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jaber Rahimi, 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 Jaber Rahimi Line = papers co-authored together Jaber Rahimi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20257
3 20243
4 202313
5 202329
6 20235
7 20234
8 202225
9
Winter wheat yield prediction using convolutional neural networks from environmental and phenological databreakdown →
2022103
10 202241
11 20218
12 202156
13 202111
14 20210
15 202038
16 201857
17 20177
18 20145
19 201493
20
STUDY OF PERSISTENCE OF POLLUTED DAYS WITH CARBON MONOXIDE (CO) IN TEHRAN CITY USING MARKOV CHAIN MODEL
20132

About Jaber Rahimi

Jaber Rahimi is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Soil Science, having authored 35 papers that have together received 870 indexed citations. Recurring topics across this work include Climate variability and models (15 papers), Climate change impacts on agriculture (15 papers), Hydrology and Drought Analysis (10 papers), Agriculture Sustainability and Environmental Impact (7 papers), Plant Water Relations and Carbon Dynamics (4 papers), Hydrology and Watershed Management Studies (3 papers), Meteorological Phenomena and Simulations (3 papers) and Rangeland Management and Livestock Ecology (3 papers). The work is most often cited by research in Global and Planetary Change (432 citations), Atmospheric Science (179 citations) and Water Science and Technology (138 citations). Jaber Rahimi has collaborated with scholars based in Germany, Iran and Denmark. Frequent co-authors include Ali Khalili, Javad Bazrafshan, Klaus Butterbach‐Bahl, Somayeh Hejabi, Amit Kumar Srivastava, Patrick Laux, Arash Malekian, An Notenbaert, Thomas Gaiser and Wenzhi Zeng. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

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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2026