Yannis Sismanis
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Peter J. HaasRainer GemullaErik NijkampBerthold ReinwaldKevin BeyerNick RoussopoulosYannis KotidisAntonios Deligiannakis
- Topics
- Advanced Database Systems and Queries (17 papers)Data Management and Algorithms (11 papers)Data Quality and Management (4 papers)
- Journals
- Communications of the ACMIBM Journal of Research and DevelopmentProceedings of the VLDB Endowment
- Partner nations
- United StatesGermany
In The Last Decade
Yannis Sismanis
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 563
- Information Systems 548
- Artificial Intelligence 517
- Signal Processing 385
- Computer Vision and Pattern Recognition 268
Countries citing papers authored by Yannis Sismanis
This map shows the geographic impact of Yannis Sismanis'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 Yannis Sismanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yannis Sismanis more than expected).
Fields of papers citing papers by Yannis Sismanis
This network shows the impact of papers produced by Yannis Sismanis. 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 Yannis Sismanis. The network helps show where Yannis Sismanis may publish in the future.
Co-authorship network of co-authors of Yannis Sismanis
This figure shows the co-authorship network connecting the top 25 collaborators of Yannis Sismanis. A scholar is included among the top collaborators of Yannis Sismanis 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 Yannis Sismanis. Yannis Sismanis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 51 | |
| 4 | 14 | |
| 5 | 23 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 39 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 128 | |
| 12 | 52 | |
| 13 | 64 | |
| 14 | 8 | |
| 15 | Efficient Dissemination of Aggregate Data over the Wireless Web. | 10 |
| 16 | 20 | |
| 17 | The Dwarf Data Cube Eliminates the Highy Dimensionality Curse | 1 |
| 18 | 0 | |
| 19 | 135 | |
| 20 | 1 |
About Yannis Sismanis
Yannis Sismanis is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (11 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Computational Mathematics (36 citations), Signal Processing (385 citations) and Computer Networks and Communications (563 citations). Yannis Sismanis has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter J. Haas, Rainer Gemulla, Erik Nijkamp, Berthold Reinwald, Kevin Beyer, Nick Roussopoulos, Yannis Kotidis, Antonios Deligiannakis, John McPherson and Sudipto Das. Their work appears in journals such as Communications of the ACM, IBM Journal of Research and Development and Proceedings of the VLDB Endowment.
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.