Mona Ashok

9 papers receiving 642 citations

Mona Ashok's Hit Papers

AI adoption and diffusion in public administration: A systematic literature review and future research agenda 2022 · 176 citations
1760+1+3Years since publication50100150200

Peers

Mona Ashok
Comparison fields: 5 of 80
  • Health Informatics 47
  • Safety Research 127
  • Marketing 112
  • Strategy and Management 177
  • Management Information Systems 102
Replace Eleni Trichina with:
Eleni Trichina Cyprus
Shiko M. Ben‐Menahem Switzerland
Benjamin Mueller Germany
William Y. Degbey Finland
Hind Benbya United States
Naomi Haefner Switzerland
Stella Pachidi United Kingdom
Alessandro Pagano Italy
Oihab Allal‐Chérif France
Adrian Micu Romania
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Countries citing papers authored by Mona Ashok

Since Specialization
Citations

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

Fields of papers citing papers by Mona Ashok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Mona Ashok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mona Ashok Line = papers co-authored together Mona Ashok links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Ethical framework for Artificial Intelligence and Digital technologies
Hit paper breakdown →
2021219
2
AI adoption and diffusion in public administration: A systematic literature review and future research agenda
Hit paper breakdown →
2022176
3 201693
4 202069
5 202161
6 201731
7 202125
8 20247
9 20233

About Mona Ashok

Mona Ashok is a scholar working on Strategy and Management, Communication, Sociology and Political Science, Marketing and Artificial Intelligence, having authored 9 papers that have together received 684 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (3 papers), Knowledge Management and Sharing (3 papers), Customer Service Quality and Loyalty (2 papers), Ethics and Social Impacts of AI (2 papers), Organizational and Employee Performance (2 papers), Service and Product Innovation (2 papers), Qualitative Comparative Analysis Research (1 paper) and Innovation, Sustainability, Human-Machine Systems (1 paper). The work is most often cited by research in Health Informatics (47 citations), Safety Research (127 citations), Marketing (112 citations), Strategy and Management (177 citations) and Management Information Systems (102 citations). Mona Ashok has collaborated with scholars based in United Kingdom, China and Spain. Frequent co-authors include Anton Joha, Uthayasankar Sivarajah, Rajneesh Narula, Andrea Martínez‐Noya, Michael D. Dzandu, Marc Day and Kui Yin. Their work appears in journals such as International Journal of Information Management, Journal of Knowledge Management, Information Systems Frontiers, Service Industries Journal and Government Information Quarterly.

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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