Ehsan Mesbahi

35 papers receiving 713 citations

Peers

Ehsan Mesbahi
Comparison fields: 5 of 100
  • Clinical Biochemistry 56
  • Global and Planetary Change 200
  • Environmental Engineering 43
  • Health, Toxicology and Mutagenesis 42
  • Renewable Energy, Sustainability and the Environment 45
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Citations per year

Countries citing papers authored by Ehsan Mesbahi

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Mesbahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014126
2
Artificial neural networks: fundamentals
200393
3 201280
4 200670
5 201362
6 201251
7 200749
8 200747
9 201525
10 201625
11 201322
12 199917
13 201717
14 200814
15 200313
16 200110
17
MARINE SYSTEM MODELLING USING ARTIFICIAL NEURAL NETWORKS: AN INTRODUCTION TO THE THEORY AND PRACTICE
19968
18 20156
19 20115
20 20155

About Ehsan Mesbahi

Ehsan Mesbahi is a scholar working on Global and Planetary Change, Clinical Biochemistry, Artificial Intelligence, Automotive Engineering and Control and Systems Engineering, having authored 36 papers that have together received 775 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Marine Ecology and Invasive Species (6 papers), Bacterial Identification and Susceptibility Testing (3 papers), Structural Integrity and Reliability Analysis (3 papers), Advanced Thermoelectric Materials and Devices (3 papers), Environmental Impact and Sustainability (2 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (2 papers) and Ship Hydrodynamics and Maneuverability (2 papers). The work is most often cited by research in Clinical Biochemistry (56 citations), Global and Planetary Change (200 citations), Environmental Engineering (43 citations), Health, Toxicology and Mutagenesis (42 citations) and Renewable Energy, Sustainability and the Environment (45 citations). Ehsan Mesbahi has collaborated with scholars based in United Kingdom, India and Malaysia. Frequent co-authors include Yongchang Pu, Oihane C. Basurko, Arga Chandrashekar Anil, Kaveh Emami, Jane E. Delany, Margaret E. Gill, Gemma Quílez-Badia, Kjell Domaas Josefsen, C.L.J. Frid and Tracy McCollin. Their work appears in journals such as Marine Pollution Bulletin, Marine Technology and SNAME News, Frontiers in Microbiology, Engineering Structures and Maritime Policy & Management.

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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