Mohammad Aliannejadi

190 total papers · 1.7k total citations
66 papers, 656 citations indexed

About

Mohammad Aliannejadi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Aliannejadi has authored 66 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 31 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Aliannejadi's work include Topic Modeling (32 papers), Speech and dialogue systems (19 papers) and Recommender Systems and Techniques (15 papers). Mohammad Aliannejadi is often cited by papers focused on Topic Modeling (32 papers), Speech and dialogue systems (19 papers) and Recommender Systems and Techniques (15 papers). Mohammad Aliannejadi collaborates with scholars based in Netherlands, Switzerland and United States. Mohammad Aliannejadi's co-authors include Fábio Crestani, Ubaid Abbasi, Ruholla Jafari-Marandi, Abbas Keramati, Ivan Sekulić, Hossein A. Rahmani, Maarten de Rijke, Evangelos Kanoulas, Dimitrios Rafailidis and Javad Hamidzadeh and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Soft Computing and Information Processing & Management.

In The Last Decade

Mohammad Aliannejadi

58 papers receiving 627 citations

Author Peers

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

Author						Papers	Cites
Mohammad Aliannejadi	363	291	113	66	59	66	656
Li‐Chen Cheng	254 0.7×	307 1.1×	74 0.7×	45 0.7×	30 0.5×	46	758
Chihli Hung	451 1.2×	197 0.7×	93 0.8×	33 0.5×	19 0.3×	39	718
Dhanya Pramod	299 0.8×	186 0.6×	51 0.5×	46 0.7×	12 0.2×	76	791
Chonghuan Xu	178 0.5×	192 0.7×	59 0.5×	136 2.1×	61 1.0×	42	657
Anna Goy	227 0.6×	405 1.4×	49 0.4×	104 1.6×	50 0.8×	36	702
Yifan Wang	195 0.5×	313 1.1×	77 0.7×	106 1.6×	16 0.3×	28	626
Lei Hou	142 0.4×	141 0.5×	79 0.7×	49 0.7×	38 0.6×	48	602
Marco Viviani	294 0.8×	285 1.0×	37 0.3×	63 1.0×	47 0.8×	47	757
Il Young Choi	183 0.5×	389 1.3×	103 0.9×	46 0.7×	36 0.6×	27	598
Giovanna Petrone	186 0.5×	313 1.1×	40 0.4×	95 1.4×	34 0.6×	36	580

Countries citing papers authored by Mohammad Aliannejadi

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Aliannejadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Aliannejadi

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