Sanaa Hobeichi

891 citations
29 papers · 372 indexed · h-index 13
Topics
Climate variability and models (13 papers)Hydrology and Watershed Management Studies (8 papers)Plant Water Relations and Carbon Dynamics (8 papers)

In The Last Decade

Sanaa Hobeichi

29 papers receiving 366 citations

Peers

Sanaa Hobeichi
Comparison fields: 5 of 44
  • Global and Planetary Change 275
  • Atmospheric Science 133
  • Water Science and Technology 125
  • Environmental Engineering 64
  • Oceanography 49
Replace Madeleine Pascolini‐Campbell with:
Madeleine Pascolini‐Campbell United States
Kurt Solander United States
Rulin Ouyang China
Lishu Lian China
Ningpeng Dong China
Mohsen Soltani Iran
Fuxin Zhu China
Ana Carolina Nóbile Tomaziello Brazil
Hakan Aksu Türkiye
Camille Szczypta France
Sanaa Hobeichi relative to Madeleine Pascolini‐Campbell United States Madeleine Pascolini‐Campbell's profile →
Citations per field
00.5×1.5×2.4×
Madeleine Pascolini‐Campbell · 1×
Citations per year

Countries citing papers authored by Sanaa Hobeichi

Since Specialization
Citations

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

Fields of papers citing papers by Sanaa Hobeichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanaa Hobeichi

This figure shows the co-authorship network connecting the top 25 collaborators of Sanaa Hobeichi. A scholar is included among the top collaborators of Sanaa Hobeichi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanaa Hobeichi. Sanaa Hobeichi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 1
3 7
4 1
5 1
6 3
7 25
8 12
9 22
10 17
11 1
12 20
13 16
14 37
15 13
16 39
17 54
18 1
19 4
20 19

About Sanaa Hobeichi

Sanaa Hobeichi is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 29 papers that have together received 372 indexed citations. Recurring topics across this work include Climate variability and models (13 papers), Hydrology and Watershed Management Studies (8 papers) and Plant Water Relations and Carbon Dynamics (8 papers). The work is most often cited by research in Global and Planetary Change (275 citations), Water Science and Technology (125 citations) and Atmospheric Science (133 citations). Sanaa Hobeichi has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gab Abramowitz, Jason P. Evans, Anna Ukkola, A. J. Pitman, Hylke E. Beck, Martin G. De Kauwe, Steven C. Sherwood, Mengyuan Mu, Weidong Guo and Peter Briggs. Their work appears in journals such as Journal of Climate, Water Resources Research and Marine Pollution Bulletin.

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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