Maya Grigolia

825 citations
4 papers · 351 · 1 hit paper · h-index 3

Impact in

Papers in

Maya Grigolia

4 papers receiving 334 citations

Maya Grigolia's Hit Papers

Role of AI chatbots in education: systematic literature review 2023 · 342 citations
3420+1+2Years since publication100200300

Peers

Maya Grigolia
Comparison fields: 5 of 60
  • Health Informatics 88
  • Computer Science Applications 138
  • Artificial Intelligence 151
  • Information Systems and Management 16
  • Developmental and Educational Psychology 28
Replace Katherine K. W. Lee with:
Katherine K. W. Lee Hong Kong
Yuwei Wan Hong Kong
Sumesh Nair Australia
Xinjie Deng China
Abdullahi Yusuf Nigeria
Lilach Mollick United States
Marie Alina Yeo Singapore
Benicio Gonzalo Acosta Enríquez Peru
Niklas Humble Sweden
Maya Grigolia relative to Katherine K. W. Lee Hong Kong Katherine K. W. Lee's profile →
Citations per field
00.5×1.6×
Katherine K. W. Lee · 1×
Citations per year

Countries citing papers authored by Maya Grigolia

Since Specialization
Citations

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

Fields of papers citing papers by Maya Grigolia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Maya Grigolia, 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 Maya Grigolia Line = papers co-authored together Maya Grigolia links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Role of AI chatbots in education: systematic literature review
Hit paper breakdown →
2023342
2 20245
3 20243
4 20111

About Maya Grigolia

Maya Grigolia is a scholar working on Health Informatics, Artificial Intelligence, Political Science and International Relations, Information Systems and Economics and Econometrics, having authored 4 papers that have together received 351 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), AI in Service Interactions (2 papers), Economic Analysis and Policy (1 paper), Global Socioeconomic and Political Dynamics (1 paper), Corporate Finance and Governance (1 paper), Russia and Soviet political economy (1 paper), Working Capital and Financial Performance (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Health Informatics (88 citations), Computer Science Applications (138 citations), Artificial Intelligence (151 citations), Information Systems and Management (16 citations) and Developmental and Educational Psychology (28 citations). Maya Grigolia has collaborated with scholars based in Georgia and Kuwait. Frequent co-authors include Lasha Labadze. Their work appears in journals such as International Journal of Educational Technology in Higher Education, EuroMed Journal of Business and SSRN Electronic Journal.

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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