Ali Akbar Jamali

625 citations
23 papers · 485 indexed · h-index 12
Topics
Computational Drug Discovery Methods (5 papers)Mental Health via Writing (5 papers)Machine Learning in Bioinformatics (3 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
Partner nations
IranCanadaUnited States

In The Last Decade

Ali Akbar Jamali

20 papers receiving 474 citations

Peers

Ali Akbar Jamali
Comparison fields: 5 of 102
  • Molecular Biology 309
  • Biomedical Engineering 102
  • Computational Theory and Mathematics 90
  • Cancer Research 52
  • Materials Chemistry 52
Replace Pierre Pério with:
Pierre Pério France
Hongmei Wen China
Zhichao Liu China
Teh‐Min Hu Taiwan
Massimo Breda Italy
Muthusamy Ramesh India
Avinash C. Tripathi India
Milena Quaglia United Kingdom
Livia Basile Italy
Wen Pan China
Ali Akbar Jamali relative to Pierre Pério France Pierre Pério's profile →
Citations per field
00.5×6.5×
Pierre Pério · 1×
Citations per year

Countries citing papers authored by Ali Akbar Jamali

Since Specialization
Citations

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

Fields of papers citing papers by Ali Akbar Jamali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Akbar Jamali. 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 Ali Akbar Jamali. The network helps show where Ali Akbar Jamali may publish in the future.

Co-authorship network of co-authors of Ali Akbar Jamali

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Akbar Jamali. A scholar is included among the top collaborators of Ali Akbar Jamali 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 Ali Akbar Jamali. Ali Akbar Jamali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 2
5 0
6 18
7 4
8 24
9 4
10 12
11 22
12 7
13 19
14 9
15 77
16 1
17 1
18 83
19 14
20 78

About Ali Akbar Jamali

Ali Akbar Jamali is a scholar working on Neuropsychology and Physiological Psychology, Applied Psychology and Computational Theory and Mathematics, having authored 23 papers that have together received 485 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Mental Health via Writing (5 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (90 citations), Molecular Biology (309 citations) and Cancer Research (52 citations). Ali Akbar Jamali has collaborated with scholars based in Iran, Canada and United States. Frequent co-authors include Ali Ezzati, Yadollah Omidi, Mohammad Pourhassan‐Moghaddam, Reza Safdari, Miguel de la Guárdia, Reza Ferdousi, Jiuyong Li, Esmaeil Ebrahimie, Fang‐Xiang Wu and Anthony Kusalik. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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