Ike Nassi
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Computer Science Applications top 10%
- Teaching and Learning Programming
Papers in ⓘ
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- Parallel Computing and Optimization Techniques 4
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- Cloud Computing and Resource Management 4
- Information and Cyber Security 1
- Co-authors
- Ben Shneiderman (1 shared paper)Scott Brandt (3 shared papers)Carlos Maltzahn (3 shared papers)Sage A. Weil (1 shared paper)C. Gordon Bell (1 shared paper)N. W. Watkins (1 shared paper)Nabil R. Adam (1 shared paper)Vijayalakshmi Atluri (1 shared paper)
- Journals
- Computer (3 papers)ACM SIGPLAN Notices (1 paper)View (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)Proceedings - International Conference on Data Engineering (1 paper)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Ike Nassi
11 papers receiving 311 citations
Peers
Comparison fields: 5 of 52
- Software 95
- Computer Science Applications 45
- Information Systems 179
- Hardware and Architecture 49
- Computer Networks and Communications 106
Countries citing papers authored by Ike Nassi
This map shows the geographic impact of Ike Nassi'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 Ike Nassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ike Nassi more than expected).
Fields of papers citing papers by Ike Nassi
This network shows the impact of papers produced by Ike Nassi. 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 Ike Nassi. The network helps show where Ike Nassi may publish in the future.
Co-authors
The 10 scholars most cited alongside Ike Nassi, 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 | 1973 | 292 | |
| 2 | 2015 | 22 | |
| 3 | 2009 | 15 | |
| 4 | 1981 | 11 | |
| 5 | 2013 | 10 | |
| 6 | 2018 | 6 | |
| 7 | 2014 | 4 | |
| 8 | 2017 | 3 | |
| 9 | 2010 | 2 | |
| 10 | 2007 | 2 | |
| 11 | 2006 | 1 |
About Ike Nassi
Ike Nassi is a scholar working on Hardware and Architecture, Information Systems, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 11 papers that have together received 368 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Logic, programming, and type systems (1 paper), Distributed systems and fault tolerance (1 paper), Access Control and Trust (1 paper), Distributed and Parallel Computing Systems (1 paper) and Information and Cyber Security (1 paper). The work is most often cited by research in Software (95 citations), Computer Science Applications (45 citations), Information Systems (179 citations), Hardware and Architecture (49 citations) and Computer Networks and Communications (106 citations). Ike Nassi has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Ben Shneiderman, Scott Brandt, Carlos Maltzahn, Sage A. Weil, C. Gordon Bell, N. W. Watkins, Nabil R. Adam, Vijayalakshmi Atluri, Vandana P. Janeja and Soon Ae Chun. Their work appears in journals such as Computer, ACM SIGPLAN Notices, View, TUbilio (Technical University of Darmstadt) and Proceedings - International Conference on Data Engineering.
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.