Navid Aghakhani

691 citations
15 papers · 435 indexed · 1 hit paper · h-index 7
Topics
Knowledge Management and Sharing (5 papers)Technology Adoption and User Behaviour (5 papers)Digital Marketing and Social Media (5 papers)
Partner nations
United StatesMalaysia

In The Last Decade

Navid Aghakhani

15 papers receiving 415 citations

Hit Papers

Virtual Work Meetings During the COVID-19 Pandemic: The G...2021202620222024202150100150

Peers

Navid Aghakhani
Comparison fields: 5 of 87
  • Sociology and Political Science 249
  • Information Systems and Management 105
  • Artificial Intelligence 78
  • Marketing 77
  • Communication 74
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Citations per field
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Citations per year

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

15 of 15 papers shown
#WorkIndexed citations
1 23
2 2
3
Virtual Work Meetings During the COVID-19 Pandemic: The Good, Bad, and Uglybreakdown →
191
4 97
5
A Recommender System for Cultural Restaurants Based on Review Factors and Review Sentiment.
11
6 75
7
The Dimensions of Review Comprehensiveness and Its Effect on Review Usefulness: A Latent Dirichlet Allocation Approach
1
8
Beyond the Review Sentiment: The Effect of Review Accuracy and Review Consistency on Review Usefulness
5
9
A recommender System for Restaurant Reviews Based on Consumer Segment
4
10
Adoption of Implicit eWOM in Facebook: An Affect-as-Information Theory Perspective
1
11
Acceptance of Implicit and Explicit eWOM: a Factor Based Study of Social Networking Sites
4
12 9
13 9
14 1
15 2

About Navid Aghakhani

Navid Aghakhani is a scholar working on Information Systems and Management, Communication and Human-Computer Interaction, having authored 15 papers that have together received 435 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (5 papers), Technology Adoption and User Behaviour (5 papers) and Digital Marketing and Social Media (5 papers). The work is most often cited by research in Information Systems and Management (105 citations), Communication (74 citations) and Marketing (77 citations). Navid Aghakhani has collaborated with scholars based in United States and Malaysia. Frequent 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. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Electronic Commerce and Information Systems Frontiers.

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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