Dejan Kovachev

659 citations
16 papers · 268 · h-index 8

Impact in

Papers in

Dejan Kovachev

16 papers receiving 251 citations

Peers

Dejan Kovachev
Comparison fields: 5 of 46
  • Computer Networks and Communications 200
  • Information Systems 138
  • Human-Computer Interaction 15
  • Computer Vision and Pattern Recognition 49
  • Computer Science Applications 10
Replace Pavlos Sermpezis with:
Pavlos Sermpezis Greece
Håkon Wium Lie Switzerland
Angela Nicoarǎ United States
Matt Tierney United States
Alan Johnston United States
Mike P. Wittie United States
Paul Schmitt United States
Ivar Jørstad Norway
Françoise Sailhan France
Roelof Kemp Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Dejan Kovachev

Since Specialization
Citations

This map shows the geographic impact of Dejan Kovachev'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 Dejan Kovachev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejan Kovachev more than expected).

Fields of papers citing papers by Dejan Kovachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dejan Kovachev. 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 Dejan Kovachev. The network helps show where Dejan Kovachev may publish in the future.

Co-authors

The 8 scholars most cited alongside Dejan Kovachev, 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 Dejan Kovachev Line = papers co-authored together Dejan Kovachev links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201296
2 201250
3 201031
4 201219
5 201217
6 201214
7 201512
8 201310
9
Direwolf: a framework for widget-based distributed user interfaces
20144
10
Context-aware Mobile Multimedia Services in the Cloud
20093
11 20133
12 20103
13
Mobile multimedia services in the cloud
20142
14
Storytelling, Spatial Standards and Cultural Heritage Management
20102
15 20121
16
Virtual Campfire- Collaborative Multimedia Semantization with Mobile Social Software
20111

About Dejan Kovachev

Dejan Kovachev is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Hardware and Architecture, having authored 16 papers that have together received 268 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (7 papers), Cloud Computing and Resource Management (4 papers), Caching and Content Delivery (4 papers), Peer-to-Peer Network Technologies (4 papers), Context-Aware Activity Recognition Systems (4 papers), IoT and Edge/Fog Computing (4 papers), Cloud Computing and Remote Desktop Technologies (3 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (200 citations), Information Systems (138 citations), Human-Computer Interaction (15 citations), Computer Vision and Pattern Recognition (49 citations) and Computer Science Applications (10 citations). Dejan Kovachev has collaborated with scholars based in Germany and Hong Kong. Frequent co-authors include Ralf Klamma, Tian–Li Yu, Yiwei Cao, Dominik Renzel, Matthias Jarke, Rynson W. H. Lau, István Koren and Emmanuel Stefanakis. Their work appears in journals such as Multimedia Tools and Applications, Journal of Computers in Education, Mobile Networks and Applications, International Journal of Interactive Multimedia and Artificial Intelligence and Journal of Web Engineering.

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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