S. Hajian

827 citations
23 papers · 682 indexed · 1 hit paper · h-index 12

S. Hajian

23 papers receiving 662 citations

Hit Papers

Highly Sensitive Porous PDMS-Based Capacitive Pressure Se...189202120262022202450100150

Peers

S. Hajian
Comparison fields: 5 of 52
  • Bioengineering 107
  • Biomedical Engineering 470
  • Polymers and Plastics 133
  • Electrical and Electronic Engineering 407
  • Cognitive Neuroscience 110
Replace Vikram S. Turkani with:
Vikram S. Turkani United States
Seokgyu Ko South Korea
Yunsung Kang South Korea
Xinzhou Wu China
Quanning Li China
Mohamed Saadaoui France
Ye Xue China
Yu Long China
Hakyung Jeong South Korea
S. Hajian relative to Vikram S. Turkani United States Vikram S. Turkani's profile →
Citations per field
00.5×3.0×
Vikram S. Turkani · 1×
Citations per year

Countries citing papers authored by S. Hajian

Since Specialization
Citations

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

Fields of papers citing papers by S. Hajian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside S. Hajian, 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 S. Hajian Line = papers co-authored together S. Hajian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2 202237
3 20221
4 20211
5 20216
6 20212
7
Highly Sensitive Porous PDMS-Based Capacitive Pressure Sensors Fabricated on Fabric Platform for Wearable Applicationsbreakdown →
2021189
8 20212
9 2020118
10 202054
11 202016
12 20202
13 20204
14 2019101
15
Titanium Carbide MXene as NH₃ Sensor: Realistic First-Principles Study
20191
16 201918
17 201913
18 201930
19 201823
20 201817

About S. Hajian

S. Hajian is a scholar working on Bioengineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 23 papers that have together received 682 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (14 papers), Gas Sensing Nanomaterials and Sensors (11 papers), Analytical Chemistry and Sensors (8 papers), 2D Materials and Applications (5 papers), MXene and MAX Phase Materials (5 papers), Advanced Chemical Sensor Technologies (4 papers), Tactile and Sensory Interactions (4 papers) and Advanced MEMS and NEMS Technologies (2 papers). The work is most often cited by research in Bioengineering (107 citations), Biomedical Engineering (470 citations) and Polymers and Plastics (133 citations). S. Hajian has collaborated with scholars based in United States, Iran and Italy. Frequent co-authors include Binu B. Narakathu, Massood Z. Atashbar, Dinesh Maddipatla, Bradley J. Bazuin, A. K. Bose, X. Zhang, S. Masihi, Masoud Shariat Panahi, Anthony J. Hanson and V. Palaniappan. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry and The Journal of Physical Chemistry C.

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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