Srdjan Kovačevic

541 citations
8 papers · 160 · h-index 6

Impact in

Papers in

Srdjan Kovačevic

7 papers receiving 132 citations

Peers

Srdjan Kovačevic
Comparison fields: 5 of 34
  • Human-Computer Interaction 103
  • Software 18
  • Information Systems and Management 16
  • Computer Vision and Pattern Recognition 45
  • Information Systems 44
Replace Rul Gunzenhäuser with:
Rul Gunzenhäuser Germany
Matthias Ressel Germany
Jean-Sébastien Sottet Luxembourg
Kouichi Ono Japan
Corin Gurr United Kingdom
James Willans United Kingdom
Trevor P. Hopkins United Kingdom
Michelle Cart France
Bernd Schattenberg Germany
Sabine Sachweh Germany
Srdjan Kovačevic relative to Rul Gunzenhäuser Germany Rul Gunzenhäuser's profile →
Citations per field
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Citations per year

Countries citing papers authored by Srdjan Kovačevic

Since Specialization
Citations

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

Fields of papers citing papers by Srdjan Kovačevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Srdjan Kovačevic, 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 Srdjan Kovačevic Line = papers co-authored together Srdjan Kovačevic links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 198864
2 198942
3 199324
4 199413
5 19989
6 19886
7
A compositional model of human-computer interaction
19922
8
TACTICS for User Interface Design: Coupling the Compositional and Transformational Approach
19930

About Srdjan Kovačevic

Srdjan Kovačevic is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Artificial Intelligence, Management Information Systems and Information Systems, having authored 8 papers that have together received 160 indexed citations. Recurring topics across this work include Usability and User Interface Design (7 papers), Interactive and Immersive Displays (2 papers), Business Process Modeling and Analysis (2 papers), Data Visualization and Analytics (2 papers), Semantic Web and Ontologies (2 papers), Multimedia Communication and Technology (1 paper), Advanced Database Systems and Queries (1 paper) and Information Architecture and Usability (1 paper). The work is most often cited by research in Human-Computer Interaction (103 citations), Software (18 citations), Information Systems and Management (16 citations), Computer Vision and Pattern Recognition (45 citations) and Information Systems (44 citations). Srdjan Kovačevic has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include James D. Foley, Kevin A. Murray, Won Chul Kim, Piyawadee Sukaviriya, Pedro Szekely, Robert Neches, Ping Luo, Scott E. Hudson, Matthias Schneider‐Hufschmidt and Dan R. Olsen. Their work appears in journals such as IEEE Software, ACM SIGCHI Bulletin and SMARTech Repository (Georgia Institute of Technology).

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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