Deepti Saraswat

942 citations
16 papers · 524 indexed · 1 hit paper · h-index 10
Topics
Blockchain Technology Applications and Security (7 papers)IoT and Edge/Fog Computing (3 papers)Privacy-Preserving Technologies in Data (3 papers)

In The Last Decade

Deepti Saraswat

16 papers receiving 497 citations

Hit Papers

Explainable AI for Healthcare 5.0: Opportunities and Chal...2022202620232024202250100150200

Peers

Deepti Saraswat
Comparison fields: 5 of 98
  • Artificial Intelligence 178
  • Information Systems 123
  • Computer Networks and Communications 107
  • Health Informatics 81
  • Electrical and Electronic Engineering 54
Replace Haya Elayan with:
Haya Elayan United Arab Emirates
Daniel Smilkov North Macedonia
Nima Jafari Navimipour Taiwan
Amal Al‐Rasheed Saudi Arabia
Vivek Kumar Prasad India
Adrian Iftene Romania
Muhammad Zawish Ireland
Muhammad Azeem Akbar Finland
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Citations per year

Countries citing papers authored by Deepti Saraswat

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Saraswat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Saraswat

This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Saraswat. A scholar is included among the top collaborators of Deepti Saraswat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepti Saraswat. Deepti Saraswat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 60
3 6
4 64
5 15
6
Explainable AI for Healthcare 5.0: Opportunities and Challengesbreakdown →
216
7 8
8 14
9 2
10 4
11 19
12 21
13 58
14 2
15 14
16 20

About Deepti Saraswat

Deepti Saraswat is a scholar working on Health Informatics, Information Systems and Signal Processing, having authored 16 papers that have together received 524 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Health Informatics (81 citations), Health Information Management (32 citations) and Human-Computer Interaction (34 citations). Deepti Saraswat has collaborated with scholars based in India, South Africa and Saudi Arabia. Frequent co-authors include Pronaya Bhattacharya, Sudeep Tanwar, Ashwin Verma, Ravi Sharma, Gulshan Sharma, Pitshou N. Bokoro, Vivek Kumar Prasad, Innocent E. Davidson, Mohd Zuhair and Maria Simona Raboacă. Their work appears in journals such as IEEE Access, IEEE Sensors Journal and Mathematics.

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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