Navid Aghakhani

20 total papers · 681 total citations
15 papers, 424 citations indexed

About

Navid Aghakhani is a scholar working on Information Systems and Management, Communication and Sociology and Political Science. According to data from OpenAlex, Navid Aghakhani has authored 15 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems and Management, 6 papers in Communication and 6 papers in Sociology and Political Science. Recurrent topics in Navid Aghakhani's work include Technology Adoption and User Behaviour (5 papers), Digital Marketing and Social Media (5 papers) and Knowledge Management and Sharing (5 papers). Navid Aghakhani is often cited by papers focused on Technology Adoption and User Behaviour (5 papers), Digital Marketing and Social Media (5 papers) and Knowledge Management and Sharing (5 papers). Navid Aghakhani collaborates with scholars based in United States and Malaysia. Navid Aghakhani's co-authors include Joy V. Peluchette, Katherine A. Karl, Jahangir Karimi, Onook Oh, Dawn G. Gregg, Mohammad Salehan, Hemant Jain, Andrew W. Leung and Arben Asllani and has published in prestigious journals such as Journal of the Association for Information Systems, International Journal of Electronic Commerce and Information Systems Frontiers.

In The Last Decade

Navid Aghakhani

15 papers receiving 404 citations

Hit Papers

Virtual Work Meetings Dur... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Navid Aghakhani 243 105 77 74 73 15 424
Darrell Carpenter 181 0.7× 111 1.1× 53 0.7× 54 0.7× 49 0.7× 21 409
Feng Xu 223 0.9× 146 1.4× 52 0.7× 53 0.7× 42 0.6× 20 417
Anjali Bal 248 1.0× 65 0.6× 43 0.6× 122 1.6× 75 1.0× 19 438
Young Anna Argyris 321 1.3× 78 0.7× 88 1.1× 106 1.4× 58 0.8× 16 457
Kiesler 324 1.3× 112 1.1× 43 0.6× 78 1.1× 202 2.8× 7 482
Qinjian Yuan 192 0.8× 118 1.1× 35 0.5× 61 0.8× 50 0.7× 27 406
Hamidreza Shahbaznezhad 290 1.2× 103 1.0× 28 0.4× 100 1.4× 76 1.0× 13 398
Gregory J. Bott 262 1.1× 122 1.2× 41 0.5× 78 1.1× 38 0.5× 13 486
Shaojung Sharon Wang 365 1.5× 81 0.8× 41 0.5× 73 1.0× 129 1.8× 17 495
Carmen Lewis 157 0.6× 111 1.1× 44 0.6× 32 0.4× 57 0.8× 34 372

Countries citing papers authored by Navid Aghakhani

Since Specialization
Citations

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

Fields of papers citing papers by Navid Aghakhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Aghakhani

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