Eric Pardede
Impact in
- Information Systems top 1%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
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- Semantic Web and Ontologies 51
- Cryptography and Data Security 13
- Data Stream Mining Techniques 13
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- Advanced Database Systems and Queries 66
- Co-authors
- Mohammed A. AlZain (12 shared papers)Ben Soh (11 shared papers)James A. Thom (1 shared paper)David Taniar (37 shared papers)Wenny Rahayu (31 shared papers)J. Wenny Rahayu (36 shared papers)A. S. M. Kayes (11 shared papers)Sherif Sakr (1 shared paper)
In The Last Decade
Eric Pardede
144 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Information Systems 700
- Business and International Management 55
- Computer Networks and Communications 541
- Management of Technology and Innovation 152
- Artificial Intelligence 682
Countries citing papers authored by Eric Pardede
This map shows the geographic impact of Eric Pardede'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 Eric Pardede with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Pardede more than expected).
Fields of papers citing papers by Eric Pardede
This network shows the impact of papers produced by Eric Pardede. 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 Eric Pardede. The network helps show where Eric Pardede may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Pardede, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 210 | |
| 2 | 2020 | 115 | |
| 3 | 2011 | 71 | |
| 4 | 2011 | 52 | |
| 5 | 2018 | 51 | |
| 6 | 2013 | 44 | |
| 7 | 2011 | 37 | |
| 8 | 2012 | 33 | |
| 9 | 2019 | 33 | |
| 10 | 2021 | 33 | |
| 11 | 2015 | 28 | |
| 12 | 2010 | 28 | |
| 13 | 2012 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2006 | 20 | |
| 17 | 2007 | 19 | |
| 18 | 2013 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2005 | 16 |
About Eric Pardede
Eric Pardede is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Management Science and Operations Research, having authored 158 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (66 papers), Semantic Web and Ontologies (51 papers), Data Management and Algorithms (37 papers), Service-Oriented Architecture and Web Services (21 papers), Cloud Data Security Solutions (14 papers), Cryptography and Data Security (13 papers), Data Quality and Management (13 papers) and Data Stream Mining Techniques (13 papers). The work is most often cited by research in Information Systems (700 citations), Business and International Management (55 citations), Computer Networks and Communications (541 citations), Management of Technology and Innovation (152 citations) and Artificial Intelligence (682 citations). Eric Pardede has collaborated with scholars based in Australia, Indonesia and Singapore. Frequent co-authors include Mohammed A. AlZain, Ben Soh, James A. Thom, David Taniar, Wenny Rahayu, J. Wenny Rahayu, A. S. M. Kayes, Sherif Sakr, Jinli Cao and Mahardhika Pratama. Their work appears in journals such as IEEE Access, International Journal of Web and Grid Services, Electronics, Journal of the Association for Information Systems and Information Sciences.
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.