Saida Sultana

441 citations
7 papers · 266 indexed · 1 hit paper · h-index 5

Saida Sultana

7 papers receiving 253 citations

Hit Papers

A framework for AI-powered service innovation capability:...12220232026202420254080120

Peers

Saida Sultana
Comparison fields: 5 of 61
  • Management Information Systems 83
  • Health Informatics 9
  • Marketing 56
  • Strategy and Management 85
  • Business and International Management 11
Replace Ariel K.H. Lui with:
Ariel K.H. Lui Hong Kong
Maria Cristina Pietronudo Italy
Md Mehedi Hasan Emon Bangladesh
Mahmoud Allahham Jordan
Geraint Evans United Kingdom
Rita Lamboglia Italy
Katerina Božič Slovenia
Paul Laughlin United Kingdom
Liz Machtynger United Kingdom
Mohammad Rakibul Islam Bhuiyan Bangladesh
Saida Sultana relative to Ariel K.H. Lui Hong Kong Ariel K.H. Lui's profile →
Citations per field
00.5×1.5×
Ariel K.H. Lui · 1×
Citations per year

Countries citing papers authored by Saida Sultana

Since Specialization
Citations

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

Fields of papers citing papers by Saida Sultana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Saida Sultana, 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 Saida Sultana Line = papers co-authored together Saida Sultana links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202418
2
A framework for AI-powered service innovation capability: Review and agenda for future researchbreakdown →
2023122
3 202190
4
Measurement of Length of Umbilical Cord in Different Gestational Age Groups in Bangladesh.
20181
5 201530
6
Changes of placental diameter thickness and cotyledon in eclampsia.
20074
7
Morphological study of parathyroid in relation to thyroid gland of Bangladeshi people.
20071

About Saida Sultana

Saida Sultana is a scholar working on Obstetrics and Gynecology, Management Information Systems and Marketing, having authored 7 papers that have together received 266 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Pregnancy and preeclampsia studies (2 papers), Innovation, Sustainability, Human-Machine Systems (1 paper), Blockchain Technology Applications and Security (1 paper), Environmental Sustainability in Business (1 paper), Intellectual Capital and Performance Analysis (1 paper), Customer Service Quality and Loyalty (1 paper) and AI in Service Interactions (1 paper). The work is most often cited by research in Management Information Systems (83 citations), Health Informatics (9 citations) and Marketing (56 citations). Saida Sultana has collaborated with scholars based in Australia, Bangladesh and United Kingdom. Frequent co-authors include Shahriar Akter, Elias Kyriazis, Shahriar Sajib, Mahfuzur Rahman, Demetris Vrontis, Grace McCarthy, Md Afnan Hossain, Umme Hani, Mujahid Mohiuddin Babu and David Grant. Their work appears in journals such as Technological Forecasting and Social Change, Industrial Marketing Management and Technovation.

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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