Marjan Naderan

41 total papers · 751 total citations
32 papers, 524 citations indexed

About

Marjan Naderan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Marjan Naderan has authored 32 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Marjan Naderan's work include Network Security and Intrusion Detection (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Indoor and Outdoor Localization Technologies (6 papers). Marjan Naderan is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Indoor and Outdoor Localization Technologies (6 papers). Marjan Naderan collaborates with scholars based in Iran. Marjan Naderan's co-authors include Mohammad Javad Rashti, Hossein Pedram, Mehdi Dehghan, Gholamreza Akbarizadeh, Vesal Hakami, S. Mohammadi and Mohammad Taghi Manzuri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Network and Computer Applications.

In The Last Decade

Marjan Naderan

31 papers receiving 499 citations

Author Peers

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

Author						Papers	Cites
Marjan Naderan	275	260	101	101	77	32	524
Majed Aborokbah	222 0.8×	178 0.7×	69 0.7×	98 1.0×	50 0.6×	32	466
Soo-Yeon Ji	177 0.6×	231 0.9×	83 0.8×	81 0.8×	30 0.4×	56	508
Wail S. Elkilani	150 0.5×	253 1.0×	105 1.0×	64 0.6×	52 0.7×	38	467
C. Narmatha	131 0.5×	190 0.7×	160 1.6×	58 0.6×	68 0.9×	35	498
Durgesh Srivastava	131 0.5×	202 0.8×	80 0.8×	58 0.6×	42 0.5×	42	544
B. Surendiran	146 0.5×	307 1.2×	116 1.1×	86 0.9×	23 0.3×	59	538
Radwa Marzouk	79 0.3×	133 0.5×	129 1.3×	59 0.6×	56 0.7×	57	449
Bahari Belaton	329 1.2×	262 1.0×	67 0.7×	154 1.5×	58 0.8×	48	583
Zheng Zhang	162 0.6×	215 0.8×	82 0.8×	39 0.4×	30 0.4×	29	574
Damien Magoni	419 1.5×	145 0.6×	106 1.0×	79 0.8×	100 1.3×	39	580

Countries citing papers authored by Marjan Naderan

Since Specialization

Citations

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

Fields of papers citing papers by Marjan Naderan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjan Naderan

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