Sabuzima Nayak

560 total citations
22 papers, 262 citations indexed

About

Sabuzima Nayak is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sabuzima Nayak has authored 22 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Sabuzima Nayak's work include Caching and Content Delivery (12 papers), IoT and Edge/Fog Computing (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Sabuzima Nayak is often cited by papers focused on Caching and Content Delivery (12 papers), IoT and Edge/Fog Computing (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Sabuzima Nayak collaborates with scholars based in India, Sweden and Ethiopia. Sabuzima Nayak's co-authors include Ripon Patgiri, Arif Ahmed, Anupam Biswas, Samir Kumar, Naresh Babu Muppalaneni, Birendra Biswal and Vivek Kadiyala and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Sabuzima Nayak

22 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sabuzima Nayak India	10	158	80	72	51	30	22	262
Abdullah Muhammed Malaysia	10	221 1.4×	58 0.7×	128 1.8×	64 1.3×	19 0.6×	41	322
Bogdan Księżopolski Poland	9	117 0.7×	64 0.8×	52 0.7×	75 1.5×	26 0.9×	36	244
Yuanyuan Sun China	10	155 1.0×	133 1.7×	112 1.6×	105 2.1×	38 1.3×	28	349
Pedro Malagón Spain	11	186 1.2×	102 1.3×	83 1.2×	37 0.7×	12 0.4×	27	283
Alvaro Cintas Canto United States	10	83 0.5×	153 1.9×	43 0.6×	81 1.6×	58 1.9×	13	276
Haomeng Xie China	8	178 1.1×	138 1.7×	66 0.9×	124 2.4×	18 0.6×	10	312
Pedro Martínez-Julia Japan	11	326 2.1×	58 0.7×	124 1.7×	59 1.2×	49 1.6×	56	388
Jiayu Zhou China	11	186 1.2×	91 1.1×	53 0.7×	30 0.6×	10 0.3×	17	325
Yali Liu China	9	134 0.8×	103 1.3×	40 0.6×	97 1.9×	40 1.3×	45	257

Countries citing papers authored by Sabuzima Nayak

Since Specialization

Citations

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

Fields of papers citing papers by Sabuzima Nayak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabuzima Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Sabuzima Nayak. A scholar is included among the top collaborators of Sabuzima Nayak 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 Sabuzima Nayak. Sabuzima Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kadiyala, Vivek, Sabuzima Nayak, & Ripon Patgiri. (2025). A novel framework for improving class imbalance learning using feature space identification and fast informative resampling techniques. International Journal of Information Technology. 17(8). 4573–4586. 1 indexed citations

Patgiri, Ripon, Anupam Biswas, & Sabuzima Nayak. (2023). deepBF: Malicious URL detection using learned Bloom Filter and evolutionary deep learning. Computer Communications. 200. 30–41. 20 indexed citations

Nayak, Sabuzima, et al.. (2023). eBF: an enhanced Bloom Filter for intrusion detection in IoT. Journal Of Big Data. 10(1). 5 indexed citations

Nayak, Sabuzima, et al.. (2022). A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications. Digital Communications and Networks. 10(3). 783–804. 32 indexed citations

Nayak, Sabuzima, et al.. (2022). Green Cloud Computing-To Build A Sustainable Tomorrow. 2022 International Conference for Advancement in Technology (ICONAT). 1–6. 1 indexed citations

Patgiri, Ripon, et al.. (2022). A vision on the artificial intelligence for 6G communication. ICT Express. 9(2). 197–210. 62 indexed citations

Nayak, Sabuzima, et al.. (2021). A survey on the roles of Bloom Filter in implementation of the Named Data Networking. Computer Networks. 196. 108232–108232. 15 indexed citations

Patgiri, Ripon, Sabuzima Nayak, & Naresh Babu Muppalaneni. (2021). Is Bloom Filter a Bad Choice for Security and Privacy?. 648–653. 9 indexed citations

Nayak, Sabuzima & Ripon Patgiri. (2020). 6G: Envisioning the Key Issues and Challenges. arXiv (Cornell University). 4 indexed citations

10.

Nayak, Sabuzima & Ripon Patgiri. (2020). A Vision on Intelligent Medical Service for Emergency on 5G and 6G Communication Era. SHILAP Revista de lepidopterología. 6(22). e2–e2. 22 indexed citations

11.

Patgiri, Ripon, et al.. (2020). PassDB: A password database with strict privacy protocol using 3D Bloom filter. Information Sciences. 539. 157–176. 8 indexed citations

12.

Patgiri, Ripon, et al.. (2019). rDBF: A r-Dimensional Bloom Filter for massive scale membership query. Journal of Network and Computer Applications. 136. 100–113. 18 indexed citations

13.

Patgiri, Ripon, et al.. (2019). acBF: A High Accuracy Membership Filter using rDBF. 1 indexed citations

14.

Patgiri, Ripon, et al.. (2019). Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey. Journal of Computer Networks and Communications. 2019. 1–10. 10 indexed citations

15.

Patgiri, Ripon, et al.. (2019). PassDB: A Password Database Using 3D Bloom Filter. 1147–1154. 3 indexed citations

16.

Nayak, Sabuzima & Ripon Patgiri. (2019). A Review on Role of Bloom Filter on DNA Assembly. IEEE Access. 7. 66939–66954. 5 indexed citations

17.

Patgiri, Ripon, et al.. (2018). Preventing DDoS using Bloom Filter: A Survey. ICST Transactions on Scalable Information Systems. 5(19). 155865–155865. 19 indexed citations

18.

Nayak, Sabuzima, et al.. (2018). Machine Learning for Big Data Processing: A Literature Review. 5(7). 359–368. 6 indexed citations

19.

Patgiri, Ripon & Sabuzima Nayak. (2018). Data of Things: The Best Things Since Sliced Bread. 341–348. 2 indexed citations

20.

Patgiri, Ripon, Sabuzima Nayak, & Samir Kumar. (2018). Role of Bloom Filter in Big Data Research: A Survey. International Journal of Advanced Computer Science and Applications. 9(11). 13 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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