Parag Chatterjee

443 citations
36 papers · 305 · h-index 10

Impact in

Papers in

Parag Chatterjee

29 papers receiving 281 citations

Peers

Parag Chatterjee
Comparison fields: 5 of 83
  • Health Informatics 18
  • Health Information Management 53
  • Computer Science Applications 40
  • Computer Networks and Communications 92
  • Information Systems 69
Replace Eman AbuKhousa with:
Eman AbuKhousa United Arab Emirates
Saleh Naif Almuayqil Saudi Arabia
Ahmed E. Youssef Saudi Arabia
Pratiyush Guleria India
Milton Román Cañizares Ecuador
Ugochukwu Okwudili Matthew Nigeria
Eman Alajrami United Kingdom
Ammar Almasri Jordan
Serkan Savaş Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Parag Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Parag Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Parag Chatterjee, 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 Parag Chatterjee Line = papers co-authored together Parag Chatterjee 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 201653
2 201744
3 202028
4 201526
5 201425
6 201922
7 201414
8
The Internet of Things : Foundation for Smart Cities, eHealth, and Ubiquitous Computing
201713
9 201711
10 20219
11 20249
12 20187
13 20157
14 20156
15 20154
16 20194
17 20243
18 20243
19 20202
20 20212

About Parag Chatterjee

Parag Chatterjee is a scholar working on Computer Networks and Communications, Health Information Management, Artificial Intelligence, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 305 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), IoT and Edge/Fog Computing (5 papers), COVID-19 diagnosis using AI (4 papers), Biomedical and Engineering Education (3 papers), ECG Monitoring and Analysis (3 papers), Online and Blended Learning (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (53 citations), Computer Science Applications (40 citations), Computer Networks and Communications (92 citations) and Information Systems (69 citations). Parag Chatterjee has collaborated with scholars based in Argentina, Uruguay and India. Frequent co-authors include Ricardo L. Armentano, Leandro J. Cymberknop, Asoke Nath, Robin Singh Bhadoria, Ganesh Chandra Deka, Ofelia Noceti, Yadunath Pathak, Solange Gerona, Mainak Biswas and Diego Dujovne. Their work appears in journals such as F1000Research, Frontiers in Public Health, Higher Education Skills and Work-based Learning, The European Physical Journal Plus 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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