Hema Date

24 papers receiving 1.2k citations

Hema Date's Hit Papers

Understanding determinants of cloud computing adoption using an integrated TAM-TOE model 2015 · 683 citations
6830+3+7Years since publication200400600

Peers

Hema Date
Comparison fields: 5 of 78
  • Information Systems and Management 830
  • Management Information Systems 344
  • Information Systems 385
  • Marketing 141
  • Strategy and Management 218
Replace Hemlata Gangwar with:
Hemlata Gangwar India
Pei‐Fang Hsu Taiwan
Maria Fraga O. Martins Portugal
H. Michael Chung United States
Hart O. Awa Nigeria
Narasimhaiah Gorla United States
Peter Kawalek United Kingdom
Jean Robert Kala Kamdjoug France
Jiunn-Woei Lian Taiwan
Jasbir Dhaliwal United States
Hema Date relative to Hemlata Gangwar India Hemlata Gangwar's profile →
Citations per field
00.5×1.5×2.2×
Hemlata Gangwar · 1×
Citations per year

Countries citing papers authored by Hema Date

Since Specialization
Citations

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

Fields of papers citing papers by Hema Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Hema Date, 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 Hema Date Line = papers co-authored together Hema Date links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Understanding determinants of cloud computing adoption using an integrated TAM-TOE model
Hit paper breakdown →
2015683
2 2014198
3 201287
4
Internet Banking Adoption in an Emerging Economy: Indian Consumer's Perspective
201170
5 201365
6
Customer Perspectives on E-business Value: Case Study on Internet Banking
201042
7 201042
8 201540
9 201330
10 201624
11 201620
12
Public Sector Knowledge Management: A Generic Framework
200918
13 20227
14 20177
15 20096
16 20175
17 20124
18 20223
19 20232
20 20212

About Hema Date

Hema Date is a scholar working on Information Systems and Management, Strategy and Management, Management Information Systems, Information Systems and Communication, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (11 papers), Digital Platforms and Economics (6 papers), Knowledge Management and Sharing (3 papers), Digital Marketing and Social Media (3 papers), FinTech, Crowdfunding, Digital Finance (3 papers), Innovation and Knowledge Management (3 papers), Metal Forming Simulation Techniques (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Information Systems and Management (830 citations), Management Information Systems (344 citations), Information Systems (385 citations), Marketing (141 citations) and Strategy and Management (218 citations). Hema Date has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Hemlata Gangwar, R. Ramaswamy, Rahmath Safeena, Abdullah Kammani, Vijaya Patil, Somayya Madakam, Satish Kumar, Rohit Ramaswamy, Weng Marc Lim and Naveen Donthu. Their work appears in journals such as Journal of Enterprise Information Management, Arabian Journal for Science and Engineering, Global Business Review, Marketing Intelligence & Planning and Journal of Information & Knowledge Management.

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.

Explore authors with similar magnitude of impact