Navid Hakimi

582 total citations
9 papers, 450 citations indexed

About

Navid Hakimi is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Navid Hakimi has authored 9 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 2 papers in Rehabilitation and 2 papers in Cognitive Neuroscience. Recurrent topics in Navid Hakimi's work include 3D Printing in Biomedical Research (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Pickering emulsions and particle stabilization (2 papers). Navid Hakimi is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Pickering emulsions and particle stabilization (2 papers). Navid Hakimi collaborates with scholars based in Canada, United States and India. Navid Hakimi's co-authors include Marc G. Jeschke, Dae Kun Hwang, Richard Cheng, Axel Günther, Lian Leng, Saeid Amini‐Nik, Nazihah Bakhtyar, Scott Tsai, Chil‐Hung Cheng and Hasan Ahmad and has published in prestigious journals such as Advanced Materials, Lab on a Chip and Transplantation.

In The Last Decade

Navid Hakimi

9 papers receiving 443 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Navid Hakimi Canada	7	372	139	78	78	50	9	450
Ludovic Serex Switzerland	9	417 1.1×	108 0.8×	96 1.2×	224 2.9×	40 0.8×	10	621
Lian Leng Canada	7	397 1.1×	122 0.9×	56 0.7×	86 1.1×	56 1.1×	9	491
S. Kühn Germany	4	323 0.9×	180 1.3×	23 0.3×	40 0.5×	57 1.1×	4	415
Akshay Joshi India	10	186 0.5×	50 0.4×	64 0.8×	137 1.8×	44 0.9×	21	348
Zeming Gu China	8	469 1.3×	235 1.7×	13 0.2×	79 1.0×	54 1.1×	10	552
Francesco Piraino Italy	15	466 1.3×	50 0.4×	38 0.5×	114 1.5×	106 2.1×	24	656
Devina Jaiswal United States	11	243 0.7×	49 0.4×	22 0.3×	94 1.2×	46 0.9×	23	447
Holly Golecki United States	10	278 0.7×	39 0.3×	70 0.9×	274 3.5×	20 0.4×	43	531
Michael Chung United Kingdom	9	547 1.5×	48 0.3×	69 0.9×	247 3.2×	44 0.9×	13	769
Aimi Yokoi Japan	5	191 0.5×	27 0.2×	42 0.5×	139 1.8×	36 0.7×	17	410

Countries citing papers authored by Navid Hakimi

Since Specialization

Citations

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

Fields of papers citing papers by Navid Hakimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Hakimi

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

All Works

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9 of 9 papers shown

Hakimi, Navid, Rayus Kuplicki, Katherine L. Forthman, et al.. (2024). Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication and extension of previous results. Biological Psychology. 191. 108825–108825. 6 indexed citations

Hakimi, Navid, Jennifer L. Stewart, Maria Ironside, et al.. (2023). Active learning impairments in substance use disorders when resolving the explore-exploit dilemma: A replication and extension of previous computational modeling results. Drug and Alcohol Dependence. 252. 110945–110945. 8 indexed citations

Jalili, Reza B., Sheng‐Wei Pan, Navid Hakimi, et al.. (2021). 307.2: Bioprinted Immune-protective Islet-containing Tissues Successfully Regulate Blood Glucose in Rodent Models of Type 1 Diabetes. Transplantation. 105(12S1). S23–S23. 1 indexed citations

Cheng, Richard, Hasan Ahmad, Yi‐Zhou Gao, et al.. (2020). Handheld instrument for wound-conformal delivery of skin precursor sheets improves healing in full-thickness burns. Biofabrication. 12(2). 25002–25002. 85 indexed citations

Hakimi, Navid, Richard Cheng, Lian Leng, et al.. (2018). Handheld skin printer: in situ formation of planar biomaterials and tissues. Lab on a Chip. 18(10). 1440–1451. 202 indexed citations

Salehizadeh, Mohammad, et al.. (2017). 3D shape evolution of microparticles and 3D enabled applications using non-uniform UV flow lithography (NUFL). Soft Matter. 13(40). 7255–7263. 23 indexed citations

Li, Minggan, Navid Hakimi, Román A. Pérez, et al.. (2015). Microarchitecture for a Three‐Dimensional Wrinkled Surface Platform. Advanced Materials. 27(11). 1880–1886. 48 indexed citations

Moon, Byeong‐Ui, Navid Hakimi, Dae Kun Hwang, & Scott Tsai. (2014). Microfluidic conformal coating of non-spherical magnetic particles. Biomicrofluidics. 8(5). 52103–52103. 21 indexed citations

Hakimi, Navid, Scott Tsai, Chil‐Hung Cheng, & Dae Kun Hwang. (2013). One‐Step Two‐Dimensional Microfluidics‐Based Synthesis of Three‐Dimensional Particles. Advanced Materials. 26(9). 1393–1398. 56 indexed citations

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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