Miloš Stojmenović
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Amiya NayakSushmita RujZhen HuangCheng WangJoviša ŽunićJiankun HuMarcos Antônio CavenaghiWencheng Yang
- Topics
- Advanced Image and Video Retrieval Techniques (13 papers)Image Retrieval and Classification Techniques (11 papers)Medical Image Segmentation Techniques (8 papers)
- Cited by
- Information SystemsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- PLoS ONEIEEE AccessSensors
In The Last Decade
Miloš Stojmenović
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Information Systems 358
- Artificial Intelligence 342
- Computer Networks and Communications 287
- Computer Vision and Pattern Recognition 222
- Electrical and Electronic Engineering 204
Countries citing papers authored by Miloš Stojmenović
This map shows the geographic impact of Miloš Stojmenović'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 Miloš Stojmenović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Stojmenović more than expected).
Fields of papers citing papers by Miloš Stojmenović
This network shows the impact of papers produced by Miloš Stojmenović. 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 Miloš Stojmenović. The network helps show where Miloš Stojmenović may publish in the future.
Co-authorship network of co-authors of Miloš Stojmenović
This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Stojmenović. A scholar is included among the top collaborators of Miloš Stojmenović 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 Miloš Stojmenović. Miloš Stojmenović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 23 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 162 | |
| 13 | 5 | |
| 14 | 62 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 86 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Real time car detection in images based on an AdaBoost machine learning approach and a small training set | 2 |
About Miloš Stojmenović
Miloš Stojmenović is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Structural Biology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (11 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Information Systems (358 citations), Computer Networks and Communications (287 citations) and Computer Vision and Pattern Recognition (222 citations). Miloš Stojmenović has collaborated with scholars based in Serbia, Canada and China. Frequent co-authors include Amiya Nayak, Sushmita Ruj, Zhen Huang, Cheng Wang, Joviša Žunić, Jiankun Hu, Marcos Antônio Cavenaghi, Wencheng Yang, Zhen Huang and Georgios Tsaramirsis. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.
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.