Itai Segall
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Software top 2%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Co-authors
- Rachel Tzoref-BrillOri RottenstreichYossi KanizoEitan FarchiDalit NaorDanny HarnikDavid HarelDanny Raz
- Topics
- Software Testing and Debugging Techniques (16 papers)Software Reliability and Analysis Research (14 papers)Software Engineering Research (11 papers)
- Journals
- IEEE AccessIEEE Journal on Selected Areas in CommunicationsIEEE/ACM Transactions on Networking
- Partner nations
- IsraelUnited StatesFinland
In The Last Decade
Itai Segall
34 papers receiving 420 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 258
- Information Systems 240
- Software 176
- Artificial Intelligence 73
- Computational Theory and Mathematics 39
Countries citing papers authored by Itai Segall
This map shows the geographic impact of Itai Segall'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 Itai Segall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itai Segall more than expected).
Fields of papers citing papers by Itai Segall
This network shows the impact of papers produced by Itai Segall. 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 Itai Segall. The network helps show where Itai Segall may publish in the future.
Co-authorship network of co-authors of Itai Segall
This figure shows the co-authorship network connecting the top 25 collaborators of Itai Segall. A scholar is included among the top collaborators of Itai Segall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Itai Segall. Itai Segall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 26 | |
| 4 | Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure | 5 |
| 5 | 78 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 22 | |
| 10 | 21 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 14 | |
| 19 | 35 | |
| 20 | 1 |
About Itai Segall
Itai Segall is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 35 papers that have together received 430 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (16 papers), Software Reliability and Analysis Research (14 papers) and Software Engineering Research (11 papers). The work is most often cited by research in Software (176 citations), Computer Networks and Communications (258 citations) and Information Systems (240 citations). Itai Segall has collaborated with scholars based in Israel, United States and Finland. Frequent co-authors include Rachel Tzoref-Brill, Ori Rottenstreich, Yossi Kanizo, Eitan Farchi, Dalit Naor, Danny Harnik, David Harel, Danny Raz, Gil Einziger and Yaniv Saʼar. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE/ACM Transactions on Networking.
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.