Iman Ahmadianfar

5.9k citations
95 papers · 4.5k indexed · 3 hit papers · h-index 36
Topics
Water resources management and optimization (24 papers)Hydrological Forecasting Using AI (19 papers)Water Systems and Optimization (18 papers)
Partner nations
IranIraqChina

In The Last Decade

Iman Ahmadianfar

89 papers receiving 4.4k citations

Hit Papers

RUN beyond the metaphor: An efficient optimization algori...2020202620222024202120202022250500750

Peers

Iman Ahmadianfar
Comparison fields: 5 of 154
  • Artificial Intelligence 1.6k
  • Electrical and Electronic Engineering 728
  • Water Science and Technology 636
  • Civil and Structural Engineering 624
  • Ocean Engineering 605
Replace Xuefeng Chu with:
Xuefeng Chu United States
Mumtaz Ali Australia
Hui Qin China
Xuehua Zhao China
Sue Ellen Haupt United States
Joong Hoon Kim South Korea
Jianzhong Zhou China
Zhong-kai Feng China
Xiang Yu China
G. V. Loganathan United States
Iman Ahmadianfar relative to Xuefeng Chu United States Xuefeng Chu's profile →
Citations per field
00.5×1.5×
Xuefeng Chu · 1×
Citations per year

Countries citing papers authored by Iman Ahmadianfar

Since Specialization
Citations

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

Fields of papers citing papers by Iman Ahmadianfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iman Ahmadianfar

This figure shows the co-authorship network connecting the top 25 collaborators of Iman Ahmadianfar. A scholar is included among the top collaborators of Iman Ahmadianfar 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 Iman Ahmadianfar. Iman Ahmadianfar 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 1
2 0
3 11
4 7
5 6
6 8
7 20
8 10
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10 7
11 1
12 38
13 9
14 10
15 16
16 48
17 38
18 80
19 37
20
A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING DECOMPOSITION (MOEA/D) AND ITS APPLICATION IN MULTIPURPOSE MULTI-RESERVOIR OPERATIONS
3

About Iman Ahmadianfar

Iman Ahmadianfar is a scholar working on Water Science and Technology, Environmental Engineering and Ocean Engineering, having authored 95 papers that have together received 4.5k indexed citations. Recurring topics across this work include Water resources management and optimization (24 papers), Hydrological Forecasting Using AI (19 papers) and Water Systems and Optimization (18 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Water Science and Technology (636 citations) and Environmental Engineering (573 citations). Iman Ahmadianfar has collaborated with scholars based in Iran, Iraq and China. Frequent co-authors include Xuefeng Chu, Huiling Chen, Ali Asghar Heidari, Mehdi Jamei, Amir H. Gandomi, Omid Bozorg‐Haddad, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Masoud Karbasi, Arvin Samadi-Koucheksaraee and Amin Asadi. Their work appears in journals such as Scientific Reports, Applied Energy and Journal of Hydrology.

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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