Deepti Saraswat

942 total citations · 1 hit paper
16 papers, 524 citations indexed

About

Deepti Saraswat is a scholar working on Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Deepti Saraswat has authored 16 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Deepti Saraswat's work include Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Deepti Saraswat is often cited by papers focused on Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Deepti Saraswat collaborates with scholars based in India, South Africa and Taiwan. Deepti Saraswat's 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 Daniela Lucia Manea and has published in prestigious journals such as IEEE Access, IEEE Sensors Journal and Mathematics.

In The Last Decade

Deepti Saraswat

16 papers receiving 497 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explainable AI for Healthcare 5.0: Opportunities and Challenges

2022 216 citations Deepti Saraswat, Pronaya Bhattacharya et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Deepti Saraswat India	10	178	123	107	81	54	16	524
Haya Elayan United Arab Emirates	7	162 0.9×	96 0.8×	151 1.4×	41 0.5×	54 1.0×	8	484
Haotian Wang China	8	273 1.5×	57 0.5×	28 0.3×	57 0.7×	25 0.5×	26	555
Amal Al‐Rasheed Saudi Arabia	14	194 1.1×	94 0.8×	141 1.3×	19 0.2×	77 1.4×	60	572
Nima Jafari Navimipour Taiwan	11	229 1.3×	125 1.0×	198 1.9×	29 0.4×	61 1.1×	26	524
Gianfranco Lombardo Italy	11	135 0.8×	42 0.3×	112 1.0×	25 0.3×	62 1.1×	31	543
Omar Ibrahim Obaid Iraq	11	167 0.9×	50 0.4×	86 0.8×	20 0.2×	28 0.5×	19	372
Vivek Kumar Prasad India	10	181 1.0×	92 0.7×	94 0.9×	95 1.2×	21 0.4×	36	446
Daniel Smilkov North Macedonia	6	253 1.4×	44 0.4×	44 0.4×	69 0.9×	18 0.3×	10	533
Shiva Toumaj Iran	7	193 1.1×	83 0.7×	84 0.8×	57 0.7×	25 0.5×	11	511
Muhammad Zawish Ireland	11	79 0.4×	265 2.2×	154 1.4×	14 0.2×	45 0.8×	15	545

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

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Saraswat, Deepti, et al.. (2023). Utilizing Federated Learning for Accurate Prediction of Covid-19 from CT Scan Images. 1 indexed citations

Bhattacharya, Pronaya, Deepti Saraswat, Ashwin Verma, et al.. (2023). Towards Future Internet: The Metaverse Perspective for Diverse Industrial Applications. Mathematics. 11(4). 941–941. 60 indexed citations

Saraswat, Deepti, et al.. (2023). Anti-spoofing-enabled Contactless Attendance Monitoring System in the COVID-19 Pandemic. Procedia Computer Science. 218. 1506–1515. 6 indexed citations

Saraswat, Deepti, Ashwin Verma, Pronaya Bhattacharya, et al.. (2022). Blockchain-Based Federated Learning in UAVs Beyond 5G Networks: A Solution Taxonomy and Future Directions. IEEE Access. 10. 33154–33182. 64 indexed citations

Verma, Ashwin, Pronaya Bhattacharya, Deepti Saraswat, et al.. (2022). SanJeeVni: Secure UAV-Envisioned Massive Vaccine Distribution for COVID-19 Underlying 6G Network. IEEE Sensors Journal. 23(2). 955–968. 15 indexed citations

Saraswat, Deepti, Pronaya Bhattacharya, Ashwin Verma, et al.. (2022). Explainable AI for Healthcare 5.0: Opportunities and Challenges. IEEE Access. 10. 84486–84517. 216 indexed citations breakdown →

Saraswat, Deepti, Pronaya Bhattacharya, Arunendra Singh, et al.. (2022). Secure 5G-Assisted UAV Access Scheme in IoBT for Region Demarcation and Surveillance Operations. IEEE Communications Standards Magazine. 6(1). 58–66. 14 indexed citations

Saraswat, Deepti, et al.. (2022). UpHaaR: Blockchain-based charity donation scheme to handle financial irregularities. Journal of Information Security and Applications. 68. 103245–103245. 8 indexed citations

Saraswat, Deepti, et al.. (2022). PHBio: A Pallier Homomorphic Biometric Encryption Scheme in Healthcare 4.0 Ecosystems. 306–312. 2 indexed citations

10.

Sharma, Priyanka, et al.. (2022). Review of Crop Yield Estimation using Machine Learning and Deep Learning Techniques. Scalable Computing Practice and Experience. 23(2). 59–80. 4 indexed citations

11.

Verma, Ashwin, Pronaya Bhattacharya, Umesh Bodkhe, et al.. (2022). FedRec: Trusted rank-based recommender scheme for service provisioning in federated cloud environment. Digital Communications and Networks. 9(1). 33–46. 19 indexed citations

12.

Verma, Ashwin, Pronaya Bhattacharya, Deepti Saraswat, & Sudeep Tanwar. (2021). NyaYa: Blockchain-based electronic law record management scheme for judicial investigations. Journal of Information Security and Applications. 63. 103025–103025. 21 indexed citations

13.

Bhattacharya, Pronaya, et al.. (2021). Coalition of 6G and Blockchain in AR/VR Space: Challenges and Future Directions. IEEE Access. 9. 168455–168484. 58 indexed citations

14.

Saraswat, Deepti & Manik Lal Das. (2021). Edge-enabled Secure Healthcare System. 5. 1–6. 2 indexed citations

15.

Saraswat, Deepti, Pronaya Bhattacharya, Mohd Zuhair, Ashwin Verma, & Ashwani Kumar. (2021). AnSMart: A SVM-based anomaly detection scheme via system profiling in Smart Grids. 417–422. 14 indexed citations

16.

Zuhair, Mohd, et al.. (2021). BloCoV6: A blockchain-based 6G-assisted UAV contact tracing scheme for COVID-19 pandemic. 271–276. 20 indexed citations

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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