Miloš Stojmenović

1.8k total citations
60 papers, 1.1k citations indexed

About

Miloš Stojmenović is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Miloš Stojmenović has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 14 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Miloš Stojmenović's work include Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (11 papers) and Medical Image Segmentation Techniques (8 papers). Miloš Stojmenović is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (11 papers) and Medical Image Segmentation Techniques (8 papers). Miloš Stojmenović collaborates with scholars based in Serbia, Canada and China. Miloš Stojmenović's 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 and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Miloš Stojmenović

58 papers receiving 1.1k citations

Peers

Miloš Stojmenović
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
Replace Jiangtao Cui with:
Jiangtao Cui China
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Liang Hu China
Noseong Park South Korea
Yi He China
Fengli Zhang China
Yingjie Xia China
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Xianghua Xu China
Amrit Lal Sangal India
Jiangtao Cui China View profile →
Citations per field, relative to Miloš Stojmenović
Miloš Stojmenović · 1×
Citations per year, relative to Miloš Stojmenović
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Countries citing papers authored by Miloš Stojmenović

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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