Sarwar Sayeed

22 total papers · 881 total citations
11 papers, 570 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 570 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, Greece and Spain. Sarwar Sayeed's co-authors include Héctor Marco-Gisbert, Zeeshan Pervez, Keshav Dahal, William J. Buchanan, Nikolaos Pitropakis, Ismael Ripoll, Owen Lo, Evangelos Markakis, Christos Chrysoulas and Pavlos Papadopoulos and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Sarwar Sayeed

11 papers receiving 548 citations

Hit Papers

Assessing Blockchain Cons... 2019 2026 2021 2023 2019 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarwar Sayeed 494 177 162 66 61 11 570
Chris Dannen 473 1.0× 170 1.0× 148 0.9× 90 1.4× 48 0.8× 5 547
Mohammad Dabbagh 478 1.0× 229 1.3× 121 0.7× 53 0.8× 49 0.8× 21 627
Faiza Loukil 477 1.0× 143 0.8× 196 1.2× 126 1.9× 27 0.4× 11 632
Harry Kalodner 425 0.9× 178 1.0× 188 1.2× 51 0.8× 53 0.9× 5 498
Weiqin Zou 471 1.0× 129 0.7× 127 0.8× 92 1.4× 88 1.4× 13 551
Héctor Marco-Gisbert 547 1.1× 220 1.2× 250 1.5× 64 1.0× 154 2.5× 28 678
Salman Jan 290 0.6× 140 0.8× 158 1.0× 50 0.8× 53 0.9× 29 517
Marco Conoscenti 535 1.1× 365 2.1× 98 0.6× 60 0.9× 38 0.6× 8 639
Yen‐Hung Kuo 383 0.8× 153 0.9× 154 1.0× 37 0.6× 35 0.6× 21 628
Elli Androulaki 453 0.9× 216 1.2× 194 1.2× 35 0.5× 22 0.4× 10 510

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

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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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