Hamed Vahdat‐Nejad

77 total papers · 880 total citations
46 papers, 550 citations indexed

About

Hamed Vahdat‐Nejad is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hamed Vahdat‐Nejad has authored 46 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Hamed Vahdat‐Nejad's work include Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (12 papers) and Sentiment Analysis and Opinion Mining (9 papers). Hamed Vahdat‐Nejad is often cited by papers focused on Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (12 papers) and Sentiment Analysis and Opinion Mining (9 papers). Hamed Vahdat‐Nejad collaborates with scholars based in Iran, United Arab Emirates and Germany. Hamed Vahdat‐Nejad's co-authors include Javad Sadri, Wathiq Mansoor, Reza Monsefi, Kamran Zamanifar, Homayun Motameni, Hamid Saadatfar, Mojtaba Dehghan Manshadi, Mahmoud Naghibzadeh, Juan Ye and Carsten Röcker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hamed Vahdat‐Nejad

44 papers receiving 517 citations

Author Peers

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

Author						Papers	Cites
Hamed Vahdat‐Nejad	182	178	137	125	104	46	550
Jai E. Jung	167 0.9×	142 0.8×	125 0.9×	112 0.9×	127 1.2×	23	561
Wolfgang Woerndl	143 0.8×	268 1.5×	163 1.2×	79 0.6×	142 1.4×	33	515
Liu Fang-ai	269 1.5×	269 1.5×	115 0.8×	47 0.4×	104 1.0×	64	597
Sastry Duri	137 0.8×	210 1.2×	196 1.4×	80 0.6×	77 0.7×	23	589
Sha Zhao	123 0.7×	93 0.5×	91 0.7×	111 0.9×	58 0.6×	48	532
Xinjiang Lu	211 1.2×	148 0.8×	131 1.0×	55 0.4×	65 0.6×	46	613
Tom Lunney	144 0.8×	129 0.7×	118 0.9×	74 0.6×	79 0.8×	45	486
Hideyuki Nakashima	157 0.9×	60 0.3×	109 0.8×	46 0.4×	159 1.5×	50	552
Emilio Serrano	202 1.1×	69 0.4×	72 0.5×	78 0.6×	92 0.9×	52	519
Jianfeng Lu	218 1.2×	78 0.4×	144 1.1×	118 0.9×	34 0.3×	94	618

Countries citing papers authored by Hamed Vahdat‐Nejad

Since Specialization

Citations

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

Fields of papers citing papers by Hamed Vahdat‐Nejad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamed Vahdat‐Nejad. 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 Hamed Vahdat‐Nejad. The network helps show where Hamed Vahdat‐Nejad may publish in the future.

Co-authorship network of co-authors of Hamed Vahdat‐Nejad

This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Vahdat‐Nejad. A scholar is included among the top collaborators of Hamed Vahdat‐Nejad 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 Hamed Vahdat‐Nejad. Hamed Vahdat‐Nejad 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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