Faheem Masoodi

56 total papers · 621 total citations
27 papers, 261 citations indexed

About

Faheem Masoodi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Faheem Masoodi has authored 27 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Faheem Masoodi's work include Network Security and Intrusion Detection (9 papers), Blockchain Technology Applications and Security (7 papers) and Coding theory and cryptography (4 papers). Faheem Masoodi is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Blockchain Technology Applications and Security (7 papers) and Coding theory and cryptography (4 papers). Faheem Masoodi collaborates with scholars based in India, Saudi Arabia and Bahrain. Faheem Masoodi's co-authors include Alwi M. Bamhdi, Shadab Alam, Mohammad Ubaidullah Bokhari, Shams Tabrez Siddiqui, Musheer Ahmad, Mohammad Tabrez Quasim, Faheem Ahmad Reegu, Syed Bukhari, Ashwag Albakri and Sadaf Ahmad and has published in prestigious journals such as Scientific Reports, Vehicular Communications and Sustainable Energy Grids and Networks.

In The Last Decade

Faheem Masoodi

24 papers receiving 231 citations

Author Peers

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

Author						Papers	Cites
Faheem Masoodi	144	121	79	77	19	27	261
Takoua Abdellatif	168 1.2×	132 1.1×	55 0.7×	65 0.8×	8 0.4×	29	253
Bhushan Trivedi	156 1.1×	92 0.8×	90 1.1×	55 0.7×	19 1.0×	37	217
L. Lewis	232 1.6×	149 1.2×	65 0.8×	87 1.1×	21 1.1×	22	287
Cécile Germain‐Renaud	139 1.0×	118 1.0×	27 0.3×	98 1.3×	15 0.8×	21	297
Radha Tamal Goswami	236 1.6×	173 1.4×	149 1.9×	88 1.1×	8 0.4×	19	332
Giovanni Mazzeo	105 0.7×	148 1.2×	60 0.8×	180 2.3×	24 1.3×	29	300
Antonino Rullo	194 1.3×	95 0.8×	93 1.2×	76 1.0×	32 1.7×	21	287
Hang Yang	55 0.4×	146 1.2×	62 0.8×	61 0.8×	24 1.3×	39	239
Parth Shah	134 0.9×	102 0.8×	39 0.5×	138 1.8×	17 0.9×	35	278
Awais Ahmed	168 1.2×	135 1.1×	81 1.0×	32 0.4×	20 1.1×	30	316

Countries citing papers authored by Faheem Masoodi

Since Specialization

Citations

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

Fields of papers citing papers by Faheem Masoodi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faheem Masoodi

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