Ram Pakath
Impact in
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- Big Data and Business Intelligence
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- Data Quality and Management
Papers in
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- Big Data and Business Intelligence 4
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- Cloud Computing and Resource Management 2
- Cloud Data Security Solutions 2
- Blockchain Technology Applications and Security 1
- Co-authors
- Clyde W. Holsapple (4 shared papers)Anita Lee‐Post (3 shared papers)C. W. Holsapple (1 shared paper)Jigish Zaveri (1 shared paper)Varghese S. Jacob (1 shared paper)
- Journals
- Decision Support Systems (4 papers)Journal of Organizational Computing and Electronic Commerce (1 paper)Americas Conference on Information Systems (1 paper)Advances in business information systems and analytics book series (1 paper)IEEE Transactions on Systems Man and Cybernetics (1 paper)
- Partner nations
- United States
In The Last Decade
Ram Pakath
9 papers receiving 414 citations
Peers
Comparison fields: 5 of 68
- Management Information Systems 249
- Management Science and Operations Research 117
- Information Systems and Management 56
- Industrial and Manufacturing Engineering 77
- Strategy and Management 98
Countries citing papers authored by Ram Pakath
This map shows the geographic impact of Ram Pakath'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 Ram Pakath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Pakath more than expected).
Fields of papers citing papers by Ram Pakath
This network shows the impact of papers produced by Ram Pakath. 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 Ram Pakath. The network helps show where Ram Pakath may publish in the future.
Co-authors
The 5 scholars most cited alongside Ram Pakath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 286 | |
| 2 | 1993 | 68 | |
| 3 | 2018 | 63 | |
| 4 | 2014 | 8 | |
| 5 | 2013 | 8 | |
| 6 | 2015 | 6 | |
| 7 | 2019 | 6 | |
| 8 | Business social media analytics: Definition, benefits, and challenges: Completed research paper | 2014 | 1 |
| 9 | Subject utilization of alternate information sources in a classification task setting: an exploratory study | 1998 | 1 |
About Ram Pakath
Ram Pakath is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, having authored 9 papers that have together received 447 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (4 papers), Cloud Computing and Resource Management (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Data Quality and Management (2 papers), Cloud Data Security Solutions (2 papers), IoT and Edge/Fog Computing (1 paper), Blockchain Technology Applications and Security (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Management Information Systems (249 citations), Management Science and Operations Research (117 citations), Information Systems and Management (56 citations), Industrial and Manufacturing Engineering (77 citations) and Strategy and Management (98 citations). Ram Pakath has collaborated with scholars based in United States. Frequent co-authors include Clyde W. Holsapple, Anita Lee‐Post, C. W. Holsapple, Jigish Zaveri and Varghese S. Jacob. Their work appears in journals such as Decision Support Systems, Journal of Organizational Computing and Electronic Commerce, Americas Conference on Information Systems, Advances in business information systems and analytics book series and IEEE Transactions on Systems Man and Cybernetics.
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.