Milan Gnjatović

482 citations
32 papers · 246 indexed · h-index 9
Topics
Speech and dialogue systems (11 papers)Robotics and Automated Systems (6 papers)Social Robot Interaction and HRI (5 papers)
Journals
SHILAP Revista de lepidopterologíaKnowledge-Based SystemsFuture Generation Computer Systems
Partner nations
SerbiaGermanyHungary

In The Last Decade

Milan Gnjatović

32 papers receiving 232 citations

Peers

Milan Gnjatović
Comparison fields: 5 of 63
  • Artificial Intelligence 103
  • Signal Processing 88
  • Computer Vision and Pattern Recognition 46
  • Cognitive Neuroscience 38
  • Control and Systems Engineering 36
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Mohit Kumar United States
David Huggins-Daines United States
Alia Karim Abdul Hassan Iraq
Shoji Kajita Japan
Sylvie Ratté Canada
Juan Carlos Martínez-Santos Colombia
Evandro Gouvêa United States
Philip Kwok United States
Mirela Popa Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Milan Gnjatović

Since Specialization
Citations

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

Fields of papers citing papers by Milan Gnjatović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Gnjatović

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Gnjatović. A scholar is included among the top collaborators of Milan Gnjatović 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 Milan Gnjatović. Milan Gnjatović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 4
3 3
4 21
5 1
6 47
7
AN AN APPROACH TO HUMAN ACTIVITY CLUSTERING USING INERTIAL MEASUREMENT DATA
1
8 1
9 8
10 4
11 5
12 1
13 5
14
Linguistic Encoding of Motion Events in Robotic System
3
15 7
16 9
17 4
18 4
19 18
20 8

About Milan Gnjatović

Milan Gnjatović is a scholar working on Artificial Intelligence, Signal Processing and Social Psychology, having authored 32 papers that have together received 246 indexed citations. Recurring topics across this work include Speech and dialogue systems (11 papers), Robotics and Automated Systems (6 papers) and Social Robot Interaction and HRI (5 papers). The work is most often cited by research in Signal Processing (88 citations), Artificial Intelligence (103 citations) and Experimental and Cognitive Psychology (32 citations). Milan Gnjatović has collaborated with scholars based in Serbia, Germany and Hungary. Frequent co-authors include Vlado Delić, Nemanja Maček, Dietmar Rösner, Saša Adamović, Muzafer Saračević, Milan Milosavljević, Branislav Borovać, Marko Šarac, Marko Janev and Milan Sečujski. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Future Generation Computer Systems.

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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