Ekaterina Gilman

691 citations
37 papers · 444 indexed · h-index 13

Ekaterina Gilman

35 papers receiving 418 citations

Peers

Ekaterina Gilman
Comparison fields: 5 of 73
  • Transportation 51
  • Computer Networks and Communications 158
  • Human-Computer Interaction 35
  • Computer Vision and Pattern Recognition 110
  • Automotive Engineering 57
Replace Xiang Su with:
Xiang Su China
Susanna Pirttikangas Finland
Media Anugerah Ayu Indonesia
Nikolay Teslya Russia
Felipe Gil‐Castiñeira Spain
Chao-Lin Wu Taiwan
Hideyuki Nakashima Japan
Nicola Bicocchi Italy
Marcus Handte Germany
Swarna Priya Ramu India
Ekaterina Gilman relative to Xiang Su China Xiang Su's profile →
Citations per field
00.5×10×15×18×
Xiang Su · 1×
Citations per year

Countries citing papers authored by Ekaterina Gilman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ekaterina Gilman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ekaterina Gilman Line = papers co-authored together Ekaterina Gilman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202410
2 202313
3 20231
4 202222
5 20221
6 20218
7 202145
8 201939
9 20196
10 20191
11 201912
12 20182
13 201617
14 20165
15 20157
16 201559
17 201318
18 201220
19 20117
20 201027

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), Human Mobility and Location-Based Analysis (5 papers), Personal Information Management and User Behavior (4 papers), Data Stream Mining Techniques (4 papers), Service-Oriented Architecture and Web Services (4 papers), Smart Cities and Technologies (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 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.

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