Ekaterina Gilman
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Jukka RiekkiSusanna PirttikangasPanos KostakosXiang SuJiehan ZhouAnja KeskinarkausMika YlianttilaJuha Röning
- Topics
- Context-Aware Activity Recognition Systems (15 papers)IoT and Edge/Fog Computing (8 papers)Human Mobility and Location-Based Analysis (5 papers)
- Partner nations
- FinlandAustriaNetherlands
In The Last Decade
Ekaterina Gilman
35 papers receiving 418 citations
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 158
- Computer Vision and Pattern Recognition 110
- Information Systems 101
- Artificial Intelligence 96
- Electrical and Electronic Engineering 69
Countries citing papers authored by Ekaterina Gilman
This map shows the geographic impact of Ekaterina Gilman'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 Ekaterina Gilman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekaterina Gilman more than expected).
Fields of papers citing papers by Ekaterina Gilman
This network shows the impact of papers produced by Ekaterina Gilman. 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 Ekaterina Gilman. The network helps show where Ekaterina Gilman may publish in the future.
Co-authorship network of co-authors of Ekaterina Gilman
This figure shows the co-authorship network connecting the top 25 collaborators of Ekaterina Gilman. A scholar is included among the top collaborators of Ekaterina Gilman 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 Ekaterina Gilman. Ekaterina Gilman 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 | 13 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 45 | |
| 8 | 39 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 59 | |
| 17 | 18 | |
| 18 | 20 | |
| 19 | 7 | |
| 20 | 27 |
About Ekaterina Gilman
Ekaterina Gilman is a scholar working on Human-Computer Interaction, Transportation and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 444 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (15 papers), IoT and Edge/Fog Computing (8 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Transportation (51 citations), Computer Networks and Communications (158 citations) and Human-Computer Interaction (35 citations). Ekaterina Gilman has collaborated with scholars based in Finland, Austria and Netherlands. Frequent co-authors include Jukka Riekki, Susanna Pirttikangas, Panos Kostakos, Xiang Su, Jiehan Zhou, Anja Keskinarkaus, Mika Ylianttila, Juha Röning, Iván Sanchéz Milara and Theodoros Anagnostopoulos. Their work appears in journals such as IEEE Access, Sensors and Transportation Research Part C Emerging Technologies.
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.