Maryam Feily

8 total papers · 426 total citations
6 papers, 268 citations indexed

About

Maryam Feily is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Maryam Feily has authored 6 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Maryam Feily's work include Internet Traffic Analysis and Secure E-voting (4 papers), Network Security and Intrusion Detection (4 papers) and Peer-to-Peer Network Technologies (2 papers). Maryam Feily is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (4 papers), Network Security and Intrusion Detection (4 papers) and Peer-to-Peer Network Technologies (2 papers). Maryam Feily collaborates with scholars based in Malaysia. Maryam Feily's co-authors include Sureswaran Ramadass, R. Badlishah Ahmad, Mona Masood, Rodina Ahmad, Balakrishnan Muniandy and A. Meulenberg and has published in prestigious journals such as .

In The Last Decade

Maryam Feily

5 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Maryam Feily 241 183 170 62 16 6 268
Meng-Jang Lin 246 1.0× 217 1.2× 133 0.8× 38 0.6× 13 0.8× 4 300
Z. Muda 212 0.9× 195 1.1× 113 0.7× 70 1.1× 12 0.8× 9 287
V. Jyothsna 206 0.9× 166 0.9× 127 0.7× 38 0.6× 30 1.9× 7 245
David Hoeflin 257 1.1× 214 1.2× 153 0.9× 74 1.2× 11 0.7× 8 277
Amit Praseed 227 0.9× 175 1.0× 164 1.0× 104 1.7× 13 0.8× 10 304
Pubali Datta 174 0.7× 118 0.6× 132 0.8× 133 2.1× 12 0.8× 11 293
Sheharbano Khattak 212 0.9× 205 1.1× 123 0.7× 68 1.1× 9 0.6× 8 265
Tong Anh Tuan 265 1.1× 167 0.9× 176 1.0× 67 1.1× 24 1.5× 11 313
Tim Booij 235 1.0× 180 1.0× 145 0.9× 55 0.9× 34 2.1× 6 283
Thijs van Ede 209 0.9× 207 1.1× 107 0.6× 58 0.9× 7 0.4× 10 258

Countries citing papers authored by Maryam Feily

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Feily

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Feily

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Feily. A scholar is included among the top collaborators of Maryam Feily 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 Maryam Feily. Maryam Feily 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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