Mohammad Imran

591 citations
33 papers · 485 · h-index 15

Impact in

Papers in

Mohammad Imran

30 papers receiving 466 citations

Peers

Mohammad Imran
Comparison fields: 5 of 44
  • Automotive Engineering 99
  • Electrochemistry 41
  • Bioengineering 37
  • Mechanical Engineering 240
  • Polymers and Plastics 45
Replace Chennan Li with:
Chennan Li China
R. David Prengaman Australia
Jintao Liu China
Mehdi Amiri United States
C. Merten Germany
Daniela Fernanda Ruiz Diaz United States
Hai‐Soo Chun South Korea
Yunhao Zhong China
Ujwal Shreenag Meda United States
Shahbaz Ahmad United Arab Emirates
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Imran

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201180
2 202044
3 202138
4 202137
5 202034
6 201126
7 202225
8 201922
9 201821
10 202421
11 201021
12 201521
13 202220
14 202015
15 202414
16 20219
17 20235
18 20215
19 20224
20 20224

About Mohammad Imran

Mohammad Imran is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Aerospace Engineering, Bioengineering and Materials Chemistry, having authored 33 papers that have together received 485 indexed citations. Recurring topics across this work include High Entropy Alloys Studies (9 papers), Additive Manufacturing Materials and Processes (8 papers), Electrochemical sensors and biosensors (7 papers), High-Temperature Coating Behaviors (7 papers), Analytical Chemistry and Sensors (7 papers), Gas Sensing Nanomaterials and Sensors (5 papers), Electrochemical Analysis and Applications (4 papers) and Aluminum Alloys Composites Properties (4 papers). The work is most often cited by research in Automotive Engineering (99 citations), Electrochemistry (41 citations), Bioengineering (37 citations), Mechanical Engineering (240 citations) and Polymers and Plastics (45 citations). Mohammad Imran has collaborated with scholars based in Australia, South Korea and India. Frequent co-authors include Syed H. Masood, Milan Brandt, Sadia Ameen, M. Shaheer Akhtar, Eun‐Bi Kim, Jyotirmoy Mazumder, Sudip Bhattacharya, Daniel Fabijanic, Jithin Joseph and Ahmad Umar. Their work appears in journals such as Chemosphere, Ceramics International, International Journal of Pharmaceutics, The International Journal of Advanced Manufacturing Technology and Advanced Composites and Hybrid Materials.

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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