Sameera Abar
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
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- Simulation Techniques and Applications
Papers in
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- Mobile Agent-Based Network Management 4
- Network Security and Intrusion Detection 2
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- Service-Oriented Architecture and Web Services 3
- Mobile and Web Applications 1
- Cloud Computing and Resource Management 1
- Co-authors
- Georgios Theodoropoulos (2 shared papers)G. M. P. O’Hare (2 shared papers)Pierre Lemarinier (2 shared papers)Tetsuo Kinoshita (5 shared papers)Toru Abe (3 shared papers)Yukio Iwaya (1 shared paper)
- Journals
- Computer Science Review (1 paper)IEICE Transactions on Information and Systems (1 paper)Durham Research Online (Durham University) (1 paper)
- Partner nations
- JapanIrelandSaudi Arabia
In The Last Decade
Sameera Abar
7 papers receiving 417 citations
Sameera Abar's Hit Papers
Peers
Comparison fields: 5 of 107
- Transportation 50
- Management Science and Operations Research 90
- Modeling and Simulation 24
- Industrial and Manufacturing Engineering 37
- Management Information Systems 29
Countries citing papers authored by Sameera Abar
This map shows the geographic impact of Sameera Abar'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 Sameera Abar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameera Abar more than expected).
Fields of papers citing papers by Sameera Abar
This network shows the impact of papers produced by Sameera Abar. 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 Sameera Abar. The network helps show where Sameera Abar may publish in the future.
Co-authors
The 6 scholars most cited alongside Sameera Abar, 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 | Agent Based Modelling and Simulation tools: A review of the state-of-art software Hit paper breakdown → | 2017 | 407 |
| 2 | 2014 | 11 | |
| 3 | 2004 | 10 | |
| 4 | 2006 | 4 | |
| 5 | 2010 | 2 | |
| 6 | Autonomous Network Monitoring System based on Agent-mediated Network Information | 2008 | 1 |
| 7 | 2005 | 1 | |
| 8 | 2022 | 0 |
About Sameera Abar
Sameera Abar is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Management Information Systems and Management Science and Operations Research, having authored 8 papers that have together received 436 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (4 papers), Mobile Agent-Based Network Management (4 papers), Service-Oriented Architecture and Web Services (3 papers), Semantic Web and Ontologies (2 papers), Network Security and Intrusion Detection (2 papers), Child Development and Digital Technology (1 paper), Mobile and Web Applications (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Transportation (50 citations), Management Science and Operations Research (90 citations), Modeling and Simulation (24 citations), Industrial and Manufacturing Engineering (37 citations) and Management Information Systems (29 citations). Sameera Abar has collaborated with scholars based in Japan, Ireland and Saudi Arabia. Frequent co-authors include Georgios Theodoropoulos, G. M. P. O’Hare, Pierre Lemarinier, Tetsuo Kinoshita, Toru Abe and Yukio Iwaya. Their work appears in journals such as Computer Science Review, IEICE Transactions on Information and Systems and Durham Research Online (Durham 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.