Sarwar Sayeed

887 total citations · 2 hit papers
11 papers, 578 citations indexed

About

Sarwar Sayeed is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Sarwar Sayeed has authored 11 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Sarwar Sayeed's work include Blockchain Technology Applications and Security (8 papers), Privacy-Preserving Technologies in Data (4 papers) and Cloud Data Security Solutions (4 papers). Sarwar Sayeed is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), Privacy-Preserving Technologies in Data (4 papers) and Cloud Data Security Solutions (4 papers). Sarwar Sayeed collaborates with scholars based in United Kingdom, Spain and Greece. Sarwar Sayeed's co-authors include Héctor Marco-Gisbert, Keshav Dahal, Zeeshan Pervez, William J. Buchanan, Nikolaos Pitropakis, Ismael Ripoll, Owen Lo, Pavlos Papadopoulos, Christos Chrysoulas and Evangelos Markakis and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Sarwar Sayeed

11 papers receiving 554 citations

Hit Papers

Assessing Blockchain Consensus and Security Mechanisms ag... 2019 2026 2021 2023 2019 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarwar Sayeed United Kingdom 9 502 181 164 66 63 11 578
Chris Dannen United States 3 477 1.0× 172 1.0× 149 0.9× 91 1.4× 48 0.8× 5 551
Mohammad Dabbagh Malaysia 15 480 1.0× 233 1.3× 121 0.7× 53 0.8× 49 0.8× 21 632
E. Sandeep Kumar India 7 595 1.2× 268 1.5× 206 1.3× 64 1.0× 40 0.6× 13 715
Héctor Marco-Gisbert United Kingdom 10 560 1.1× 228 1.3× 253 1.5× 65 1.0× 161 2.6× 28 693
Zihao Li China 10 515 1.0× 113 0.6× 192 1.2× 75 1.1× 122 1.9× 36 623
Peilin Zheng China 10 792 1.6× 259 1.4× 240 1.5× 118 1.8× 69 1.1× 19 860
Weiqin Zou China 6 473 0.9× 129 0.7× 128 0.8× 93 1.4× 89 1.4× 13 556
Zhong Chen China 11 457 0.9× 164 0.9× 222 1.4× 37 0.6× 112 1.8× 43 559
Philip Daian United States 7 561 1.1× 149 0.8× 247 1.5× 100 1.5× 113 1.8× 11 650
Damiano Di Francesco Maesa Italy 10 645 1.3× 192 1.1× 241 1.5× 81 1.2× 17 0.3× 36 734

Countries citing papers authored by Sarwar Sayeed

Since Specialization
Citations

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

Fields of papers citing papers by Sarwar Sayeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarwar Sayeed

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

All Works

11 of 11 papers shown
1.
Sayeed, Sarwar, et al.. (2023). TRUSTEE: Towards the creation of secure, trustworthy and privacy-preserving framework. Edinburgh Napier Research Repository (Edinburgh Napier University). 1–10. 10 indexed citations
2.
Lo, Owen, William J. Buchanan, Sarwar Sayeed, et al.. (2022). GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors. 22(6). 2291–2291. 14 indexed citations
3.
Buchanan, William J., et al.. (2022). Post Quantum Cryptography Analysis of TLS Tunneling on a Constrained Device. Research Output (Edinburgh Napier University). 551–561. 10 indexed citations
4.
Buchanan, William J., et al.. (2021). PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching. Research Output (Edinburgh Napier University). 1–8. 1 indexed citations
5.
Sayeed, Sarwar, et al.. (2020). Security of Blockchain Consensus Protocols. 70–75. 1 indexed citations
6.
Sayeed, Sarwar & Héctor Marco-Gisbert. (2020). Proof of Adjourn (PoAj): A Novel Approach to Mitigate Blockchain Attacks. Applied Sciences. 10(18). 6607–6607. 21 indexed citations
7.
Sayeed, Sarwar, et al.. (2020). Smart Contract: Attacks and Protections. IEEE Access. 8. 24416–24427. 199 indexed citations breakdown →
8.
Sayeed, Sarwar, et al.. (2019). DNS-IdM: A Blockchain Identity Management System to Secure Personal Data Sharing in a Network. Applied Sciences. 9(15). 2953–2953. 61 indexed citations
9.
Sayeed, Sarwar & Héctor Marco-Gisbert. (2019). Assessing Blockchain Consensus and Security Mechanisms against the 51% Attack. Applied Sciences. 9(9). 1788–1788. 241 indexed citations breakdown →
10.
Sayeed, Sarwar, et al.. (2019). Control-Flow Integrity: Attacks and Protections. Applied Sciences. 9(20). 4229–4229. 12 indexed citations
11.
Sayeed, Sarwar & Héctor Marco-Gisbert. (2018). On the effectiveness of blockchain against cryptocurrency attacks. 9–14. 8 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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