Paul Raj DEVADOSS

560 citations
10 papers · 428 · h-index 6

Impact in

Papers in

Paul Raj DEVADOSS

9 papers receiving 379 citations

Peers

Paul Raj DEVADOSS
Comparison fields: 5 of 52
  • Information Systems and Management 125
  • Management Information Systems 143
  • Organizational Behavior and Human Resource Management 97
  • Marketing 75
  • Communication 57
Replace Siriluck Rotchanakitumnuai with:
Siriluck Rotchanakitumnuai Thailand
Robyn Lawson Australia
Maximilian Heimstädt Germany
Myungsin Chae South Korea
Loukas Glyptis Cyprus
Donald A. Marchand United States
Paola Bielli Italy
Rajiv Kumar India
Bob Travica Canada
Klaus Lenk Germany
Paul Raj DEVADOSS relative to Siriluck Rotchanakitumnuai Thailand Siriluck Rotchanakitumnuai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Paul Raj DEVADOSS

Since Specialization
Citations

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

Fields of papers citing papers by Paul Raj DEVADOSS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Raj DEVADOSS. 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 Paul Raj DEVADOSS. The network helps show where Paul Raj DEVADOSS may publish in the future.

Co-authors

The 5 scholars most cited alongside Paul Raj DEVADOSS, 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 Paul Raj DEVADOSS Line = papers co-authored together Paul Raj DEVADOSS links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003159
2 2006126
3 200761
4 200827
5
E-Government Capabilities and Crisis Management: Lessons from Combating SARS in Singapore
200526
6 200517
7
Leveraging E-government Infrastructure for Crisis Management: Lessons from Managing SARS Outbreak in Singapore.
20046
8 20065
9 20141
10 20060

About Paul Raj DEVADOSS

Paul Raj DEVADOSS is a scholar working on Information Systems and Management, Management Information Systems, Political Science and International Relations, Communication and Public Administration, having authored 10 papers that have together received 428 indexed citations. Recurring topics across this work include E-Government and Public Services (4 papers), Technology Adoption and User Behaviour (3 papers), Information Technology Governance and Strategy (3 papers), Knowledge Management and Sharing (2 papers), ERP Systems Implementation and Impact (2 papers), Information Systems Theories and Implementation (1 paper), COVID-19 epidemiological studies (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Information Systems and Management (125 citations), Management Information Systems (143 citations), Organizational Behavior and Human Resource Management (97 citations), Marketing (75 citations) and Communication (57 citations). Paul Raj DEVADOSS has collaborated with scholars based in Singapore and United Kingdom. Frequent co-authors include Shan Ling Pan, Jimmy Huang, Thompson S.H. Teo, Gary Pan and Sunpreet Singh. Their work appears in journals such as Journal of the Association for Information Systems, Decision Support Systems, Information & Management, IEEE Transactions on Information Technology in Biomedicine and RePEc: Research Papers in Economics.

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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