V. Matossian
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Peer-to-Peer Network Technologies
- Distributed systems and fault tolerance
Papers in
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- Distributed and Parallel Computing Systems 9
- Distributed systems and fault tolerance 4
- Peer-to-Peer Network Technologies 4
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- Scientific Computing and Data Management 7
- Co-authors
- Manish Parashar (11 shared papers)Cristina Schmidt (3 shared papers)H. Liu (2 shared papers)Salim Hariri (2 shared papers)Mary F. Wheeler (3 shared papers)Héctor Klíe (3 shared papers)Wolfgang Bangerth (3 shared papers)Bithika Khargharia (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)Cluster Computing (2 papers)Concurrency and Computation Practice and Experience (2 papers)Rutgers University Community Repository (Rutgers University) (1 paper)
- Partner nations
- United StatesNetherlandsSouth Africa
In The Last Decade
V. Matossian
11 papers receiving 255 citations
Peers
Comparison fields: 5 of 46
- Information Systems and Management 65
- Computer Networks and Communications 213
- Hardware and Architecture 32
- Information Systems 93
- Ocean Engineering 48
Countries citing papers authored by V. Matossian
This map shows the geographic impact of V. Matossian'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 V. Matossian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Matossian more than expected).
Fields of papers citing papers by V. Matossian
This network shows the impact of papers produced by V. Matossian. 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 V. Matossian. The network helps show where V. Matossian may publish in the future.
Co-authors
The 17 scholars most cited alongside V. Matossian, 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 | 2003 | 72 | |
| 2 | 2006 | 45 | |
| 3 | 2005 | 30 | |
| 4 | Enabling applications in sensor-based pervasive environments | 2004 | 24 |
| 5 | 2004 | 23 | |
| 6 | 2001 | 21 | |
| 7 | 2004 | 21 | |
| 8 | 2003 | 19 | |
| 9 | 2004 | 9 | |
| 10 | 2004 | 9 | |
| 11 | 2005 | 5 | |
| 12 | 2007 | 0 |
About V. Matossian
V. Matossian is a scholar working on Computer Networks and Communications, Information Systems and Management, Ocean Engineering, Information Systems and Statistical and Nonlinear Physics, having authored 12 papers that have together received 278 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Scientific Computing and Data Management (7 papers), Reservoir Engineering and Simulation Methods (4 papers), Distributed systems and fault tolerance (4 papers), Peer-to-Peer Network Technologies (4 papers), Stochastic processes and financial applications (1 paper), Cloud Computing and Resource Management (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Information Systems and Management (65 citations), Computer Networks and Communications (213 citations), Hardware and Architecture (32 citations), Information Systems (93 citations) and Ocean Engineering (48 citations). V. Matossian has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include Manish Parashar, Cristina Schmidt, H. Liu, Salim Hariri, Mary F. Wheeler, Héctor Klíe, Wolfgang Bangerth, Bithika Khargharia, Manish Agarwal and Vijay Mann. Their work appears in journals such as Future Generation Computer Systems, Cluster Computing, Concurrency and Computation Practice and Experience and Rutgers University Community Repository (Rutgers University).
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.