Iman Vakilinia

44 total papers · 502 total citations
31 papers, 324 citations indexed

About

Iman Vakilinia is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Iman Vakilinia has authored 31 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 14 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Iman Vakilinia's work include Blockchain Technology Applications and Security (9 papers), Network Security and Intrusion Detection (7 papers) and Advanced Malware Detection Techniques (7 papers). Iman Vakilinia is often cited by papers focused on Blockchain Technology Applications and Security (9 papers), Network Security and Intrusion Detection (7 papers) and Advanced Malware Detection Techniques (7 papers). Iman Vakilinia collaborates with scholars based in United States, Canada and Iran. Iman Vakilinia's co-authors include Shamik Sengupta, Deepak K. Tosh, Shahriar Badsha, Weihong Wang, Hemani Kaushal, Sanjay Ahuja, Engin Arslan, Ming Li, Sushil J. Louis and Linke Guo and has published in prestigious journals such as Sensors, IEEE Transactions on Information Forensics and Security and Computers & Security.

In The Last Decade

Iman Vakilinia

29 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Iman Vakilinia	216	132	98	64	29	31	324
Noura Faci	172 0.8×	184 1.4×	108 1.1×	24 0.4×	45 1.6×	33	339
Brett Benyo	102 0.5×	142 1.1×	184 1.9×	33 0.5×	44 1.5×	28	338
Clemens Sauerwein	223 1.0×	103 0.8×	44 0.4×	111 1.7×	13 0.4×	31	325
Owen Lo	185 0.9×	138 1.0×	143 1.5×	64 1.0×	24 0.8×	23	344
Shichang Xuan	177 0.8×	127 1.0×	103 1.1×	28 0.4×	30 1.0×	34	321
Mohammad M. R. Chowdhury	125 0.6×	185 1.4×	73 0.7×	33 0.5×	43 1.5×	23	289
Damiano Torre	171 0.8×	70 0.5×	179 1.8×	36 0.6×	84 2.9×	27	327
Anas Abou El Kalam	160 0.7×	162 1.2×	139 1.4×	45 0.7×	75 2.6×	58	347
Wei‐Guang Teng	152 0.7×	108 0.8×	89 0.9×	38 0.6×	17 0.6×	30	330
Tan Soo Fun	176 0.8×	121 0.9×	140 1.4×	47 0.7×	22 0.8×	32	346

Countries citing papers authored by Iman Vakilinia

Since Specialization

Citations

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

Fields of papers citing papers by Iman Vakilinia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iman Vakilinia

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