Davar Khalili

56 papers receiving 1.5k citations

Peers

Davar Khalili
Comparison fields: 5 of 105
  • Global and Planetary Change 1.0k
  • Water Science and Technology 554
  • Environmental Engineering 295
  • Atmospheric Science 228
  • Ocean Engineering 222
Replace Jun‐Haeng Heo with:
Jun‐Haeng Heo South Korea
L. Zhang United States
N. K. Goel India
Chulsang Yoo South Korea
Vito Iacobellis Italy
Bihrat Önöz Türkiye
Geoffrey Pegram South Africa
Yousef Hassanzadeh Iran
Ahmad Fakheri Fard Iran
Antonino Cancelliere Italy
Davar Khalili relative to Jun‐Haeng Heo South Korea Jun‐Haeng Heo's profile →
Citations per field
00.5×1.5×
Jun‐Haeng Heo · 1×
Citations per year

Countries citing papers authored by Davar Khalili

Since Specialization
Citations

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

Fields of papers citing papers by Davar Khalili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davar Khalili

This figure shows the co-authorship network connecting the top 25 collaborators of Davar Khalili. A scholar is included among the top collaborators of Davar Khalili 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 Davar Khalili. Davar Khalili 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 0
2 1
3 5
4 8
5 1
6 26
7 2
8 3
9 31
10
Drought Class Transition Analysis by Markov Chains and Log-Linear Models: Approach for Early Drought Warning
3
11 9
12
Agricultural Climate Information Use: An Application of the Planned Behaviour Theory
33
13 1
14 10
15 1
16 33
17
A RE-VISIT TO PARTIAL DURATION SERIES OF SHORT DURATION RAINFALLS
7
18
An Evaluation of Meteorological Drought in Fars Province
1
19
soil water regime and water conservation efficiency in a non-irrigated semi-arid environment
2
20
A decision methodology for the resource utilization of rangeland watersheds
4

About Davar Khalili

Davar Khalili is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (26 papers), Climate variability and models (21 papers) and Hydrology and Watershed Management Studies (15 papers). The work is most often cited by research in Global and Planetary Change (1.0k citations), Water Science and Technology (554 citations) and Environmental Engineering (295 citations). Davar Khalili has collaborated with scholars based in Iran, Canada and United States. Frequent co-authors include Ahmad Ghasemi, Ali Akbar Kamgar‐Haghighi, Shahrokh Zand‐Parsa, Arman Ganji, Ali Meshgi, ‪Mohammad Karamouz, Mehdi Rezaeian Zadeh, Vijay P. Singh, K. Ponnambalam and Seyed Hossein Sanaei Nejad. Their work appears in journals such as International Journal of Remote Sensing, Environmental Science and Pollution Research and Advances in Water Resources.

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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