Alla Segal
Impact in
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- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Distributed systems and fault tolerance
- Information Systems top 2%
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
Papers in
-
- IoT and Edge/Fog Computing 5
- Distributed systems and fault tolerance 3
- Caching and Content Delivery 3
- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
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- Cloud Computing and Resource Management 8
- Cloud Data Security Solutions 3
- Co-authors
- Alexei Karve (5 shared papers)Trieu C. Chieu (4 shared papers)Ajay Mohindra (4 shared papers)Ian Whalley (5 shared papers)David M. Chess (4 shared papers)Steve R. White (3 shared papers)Jeffrey O. Kephart (2 shared papers)Rajarshi Das (1 shared paper)
- Journals
- Integrated Computer-Aided Engineering (1 paper)Adaptive Agents and Multi-Agents Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Alla Segal
13 papers receiving 399 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 352
- Information Systems 329
- Artificial Intelligence 146
- Hardware and Architecture 18
- Information Systems and Management 18
Countries citing papers authored by Alla Segal
This map shows the geographic impact of Alla Segal'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 Alla Segal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alla Segal more than expected).
Fields of papers citing papers by Alla Segal
This network shows the impact of papers produced by Alla Segal. 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 Alla Segal. The network helps show where Alla Segal may publish in the future.
Co-authors
The 18 scholars most cited alongside Alla Segal, 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 | 2009 | 186 | |
| 2 | 2004 | 124 | |
| 3 | 2004 | 62 | |
| 4 | 2010 | 17 | |
| 5 | 2010 | 11 | |
| 6 | 2015 | 10 | |
| 7 | 2005 | 7 | |
| 8 | 2006 | 7 | |
| 9 | 2015 | 7 | |
| 10 | 2018 | 3 | |
| 11 | 2010 | 2 | |
| 12 | 2005 | 1 | |
| 13 | 2004 | 1 |
About Alla Segal
Alla Segal is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Infectious Diseases, having authored 13 papers that have together received 438 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), IoT and Edge/Fog Computing (5 papers), Advanced Software Engineering Methodologies (4 papers), Distributed systems and fault tolerance (3 papers), Caching and Content Delivery (3 papers), Distributed and Parallel Computing Systems (3 papers), Cloud Data Security Solutions (3 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (352 citations), Information Systems (329 citations), Artificial Intelligence (146 citations), Hardware and Architecture (18 citations) and Information Systems and Management (18 citations). Alla Segal has collaborated with scholars based in United States. Frequent co-authors include Alexei Karve, Trieu C. Chieu, Ajay Mohindra, Ian Whalley, David M. Chess, Steve R. White, Jeffrey O. Kephart, Rajarshi Das, William E. Walsh and Gerald Tesauro. Their work appears in journals such as Integrated Computer-Aided Engineering and Adaptive Agents and Multi-Agents Systems.
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.