S.A. Hashmi

8.0k citations
133 papers · 7.0k indexed · h-index 53

Impact in

Papers in

S.A. Hashmi

132 papers receiving 6.8k citations

Peers

S.A. Hashmi
Comparison fields: 5 of 78
  • Polymers and Plastics 3.0k
  • Electronic, Optical and Magnetic Materials 3.9k
  • Electrical and Electronic Engineering 5.5k
  • Catalysis 519
  • Automotive Engineering 612
Replace Adam S. Best with:
Adam S. Best Australia
A.G. Pandolfo Australia
Volodymyr Khomenko Ukraine
A. Manuel Stephan India
Cristelle Portet United States
John Chmiola United States
Graeme A. Snook Australia
Junwei Lang China
Katsuhiko Naoi Japan
Montree Sawangphruk Thailand
S.A. Hashmi relative to Adam S. Best Australia Adam S. Best's profile →
Citations per field
00.5×3.4×
Adam S. Best · 1×
Citations per year

Countries citing papers authored by S.A. Hashmi

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Hashmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20253
3 20250
4 20255
5 20243
6 20244
7 20238
8 202324
9 202249
10 202216
11 202017
12 201836
13 201694
14 201626
15 201327
16 200882
17 200027
18
Polyethylene oxide based sodium ion conducting composite polymer electrolytes dispersed with Na2SiO3
199912
19 19989
20
パラダングステン酸アンモニウム(NH 4 ) 10 W 12 O 41 ・5H 2 Oにおけるプロトン輸送
19861

About S.A. Hashmi

S.A. Hashmi is a scholar working on Polymers and Plastics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Catalysis and Automotive Engineering, having authored 133 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (76 papers), Supercapacitor Materials and Fabrication (74 papers), Conducting polymers and applications (60 papers), Advancements in Battery Materials (41 papers), Advanced battery technologies research (33 papers), Advanced Sensor and Energy Harvesting Materials (11 papers), Advanced Battery Technologies Research (10 papers) and Ionic liquids properties and applications (9 papers). The work is most often cited by research in Polymers and Plastics (3.0k citations), Electronic, Optical and Magnetic Materials (3.9k citations), Electrical and Electronic Engineering (5.5k citations), Catalysis (519 citations) and Automotive Engineering (612 citations). S.A. Hashmi has collaborated with scholars based in India, Malaysia and United Kingdom. Frequent co-authors include Gaind P. Pandey, Suresh Chandra, Deepak Kumar, Yogesh Kumar, Neetu Yadav, Nitish Yadav, Manoj K. Singh, Mohd Suleman, Rishabh Agrawal and Md. Yasir Bhat. Their work appears in journals such as Solid State Ionics, Journal of Energy Storage, Journal of Solid State Electrochemistry, Electrochimica Acta and ACS Applied Energy 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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