Bojan Milosevic

28 papers receiving 715 citations

Peers

Bojan Milosevic
Comparison fields: 5 of 91
  • Biomedical Engineering 429
  • Cognitive Neuroscience 198
  • Human-Computer Interaction 141
  • Electrical and Electronic Engineering 109
  • Computer Vision and Pattern Recognition 106
Replace Filippo Casamassima with:
Filippo Casamassima Italy
Shuai Cao China
Antonio Fratini Italy
Uriel Martínez-Hernández United Kingdom
Zhizeng Luo China
Xugang Xi China
Antônio Padilha Lanari Bó Brazil
Aosen Wang United States
Alcimar Barbosa Soares Brazil
Deepak Joshi India
Bojan Milosevic relative to Filippo Casamassima Italy Filippo Casamassima's profile →
Citations per field
00.5×1.5×2.2×
Filippo Casamassima · 1×
Citations per year

Countries citing papers authored by Bojan Milosevic

Since Specialization
Citations

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

Fields of papers citing papers by Bojan Milosevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bojan Milosevic

This figure shows the co-authorship network connecting the top 25 collaborators of Bojan Milosevic. A scholar is included among the top collaborators of Bojan Milosevic 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 Bojan Milosevic. Bojan Milosevic 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 58
2 30
3 40
4 3
5 46
6 7
7 38
8 7
9 56
10 6
11 152
12 11
13 17
14 91
15 36
16 11
17 6
18 5
19 13
20
Continuous Gesture Recognition for Resource Constrained Smart Objects
8

About Bojan Milosevic

Bojan Milosevic is a scholar working on Computational Mathematics, Human-Computer Interaction and Physical Therapy, Sports Therapy and Rehabilitation, having authored 28 papers that have together received 735 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), Context-Aware Activity Recognition Systems (7 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). The work is most often cited by research in Human-Computer Interaction (141 citations), Physical Therapy, Sports Therapy and Rehabilitation (60 citations) and Cognitive Neuroscience (198 citations). Bojan Milosevic has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Elisabetta Farella, Simone Benatti, Luca Benini, Filippo Casamassima, Schekeb Fateh, Philipp Schönle, Davide Giovanelli, Alberto Leardini, Qiuting Huang and Laura Rocchi. Their work appears in journals such as Sensors, Journal of the Optical Society of America A and The International Journal of Advanced Manufacturing 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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