Nik Rushdi Hassan

717 citations
37 papers · 448 indexed · h-index 14

Nik Rushdi Hassan

36 papers receiving 418 citations

Peers

Nik Rushdi Hassan
Comparison fields: 5 of 67
  • Management Information Systems 162
  • Communication 71
  • Computer Science Applications 48
  • Information Systems and Management 49
  • Sociology and Political Science 219
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Citations per field
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Citations per year

Countries citing papers authored by Nik Rushdi Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Nik Rushdi Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nik Rushdi Hassan. 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 Nik Rushdi Hassan. The network helps show where Nik Rushdi Hassan may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Nik Rushdi Hassan, 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 Nik Rushdi Hassan Line = papers co-authored together Nik Rushdi Hassan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202314
2 20231
3 202224
4
Seeking Out Clear And Unique Information Systems Concepts: A Natural Language Processing Approach
20202
5 201817
6 201833
7 201620
8
Seeking Middle-Range Theories in Information Systems Research
201518
9 20149
10 201314
11 20132
12
Are we using the right "paradigms?" comparing metaphysical, sociological and conceptual paradigms
20133
13 201141
14
ENGAGING SCIENTOMETRICS IN INFORMATION SYSTEMS: COMBINING THE QUANTITATIVE AND QUALITATIVE
20103
15
Combining Scientometric and Content Analysis Methods for Identifying Core Concepts and Action Principles of Information Systems Development
20098
16 200934
17
Uncovering Conceptual Gaps in Introductory IS Textbooks
20062
18 20061
19
Is Information Systems a Discipline? A Foucauldian and Toulminian Analysis
20069
20 200618

About Nik Rushdi Hassan

Nik Rushdi Hassan is a scholar working on Management Information Systems, Computer Science Applications and Management Science and Operations Research, having authored 37 papers that have together received 448 indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (24 papers), Big Data and Business Intelligence (15 papers), Complex Systems and Decision Making (8 papers), Knowledge Management and Sharing (6 papers), Information Technology Governance and Strategy (5 papers), Complex Network Analysis Techniques (4 papers), Open Source Software Innovations (3 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Management Information Systems (162 citations), Communication (71 citations) and Computer Science Applications (48 citations). Nik Rushdi Hassan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Lars Mathiassen, Paul Benjamin Lowry, John Mingers, Claudia Loebbecke, Bernd Carsten Stahl, Noël Carroll, Lorraine Morgan, Iris Junglas, Thomas Heß and Dirk S. Hovorka. Their work appears in journals such as BMC Public Health, Decision Support Systems and Journal of the Association for Information Systems.

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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