Ankush Ghosh

2.8k citations
47 papers · 258 · h-index 9

Impact in

Papers in

Ankush Ghosh

43 papers receiving 235 citations

Peers

Ankush Ghosh
Comparison fields: 5 of 80
  • Health Informatics 5
  • Information Systems 47
  • Computer Vision and Pattern Recognition 41
  • Organizational Behavior and Human Resource Management 20
  • Artificial Intelligence 53
Replace S. Navaneethan with:
S. Navaneethan India
Srinivas Prasad India
M Sakthimohan India
Amanpreet Singh India
Adrian Brezulianu Romania
Saurabh Pratap Singh Rathore India
Asghar Ali Shah Pakistan
Ankit Verma India
A. Harshavardhan India
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Citations per field
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Citations per year

Countries citing papers authored by Ankush Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202029
2 202125
3 202022
4 202021
5 202120
6 202114
7 202112
8 20219
9 20139
10 20217
11 20217
12 20196
13 20216
14 20215
15 20215
16 20245
17 20215
18 20214
19 20084
20 20193

About Ankush Ghosh

Ankush Ghosh is a scholar working on Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 258 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Quantum-Dot Cellular Automata (4 papers), Blockchain Technology Applications and Security (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), IoT and Edge/Fog Computing (3 papers), Quantum and electron transport phenomena (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Health Informatics (5 citations), Information Systems (47 citations), Computer Vision and Pattern Recognition (41 citations), Organizational Behavior and Human Resource Management (20 citations) and Artificial Intelligence (53 citations). Ankush Ghosh has collaborated with scholars based in India, Australia and Malaysia. Frequent co-authors include Rabindra Nath Shaw, Krishna Mridha, Valentina Emilia Bălaş, Subir Kumar Sarkar, Milan Simić, Jyoti Gautam, Abhay Srivastava, S. B. Goyal, Shanthi Prince and Atul Kumar Patidar. Their work appears in journals such as Journal of Nanoelectronics and Optoelectronics, Nondestructive Testing And Evaluation, Infrared Physics & Technology, Advanced Science Letters and Communications in computer and information science.

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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