Nemanja Milošević

422 total citations
22 papers, 214 citations indexed

About

Nemanja Milošević is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Nemanja Milošević has authored 22 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Nemanja Milošević's work include Computational Drug Discovery Methods (4 papers), Ultrasound Imaging and Elastography (2 papers) and Numerical methods in inverse problems (2 papers). Nemanja Milošević is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Ultrasound Imaging and Elastography (2 papers) and Numerical methods in inverse problems (2 papers). Nemanja Milošević collaborates with scholars based in Serbia, Denmark and Italy. Nemanja Milošević's co-authors include Dragana Bajović, Alexandros Iosifidis, Qi Zhang, Bojana Stanić, Nebojša Andrić, Dušan Jakovetić, Anit Kumar Sahu, Dušan Stamenković, Zoran Budimac and Marija Nikolić and has published in prestigious journals such as PLoS ONE, Sustainability and Food and Chemical Toxicology.

In The Last Decade

Nemanja Milošević

19 papers receiving 201 citations

Peers

Nemanja Milošević

CVPR

EEE

RNMI

CSE

Fangyuan Lei China

Mohammed Ahmed Talab Malaysia

Andrzej Rusiecki Poland

R. Vijaya Kumar Reddy India

M. M. El-Gayar Egypt

Zhuwei Qin United States

Min Dong China

Zain ul Abideen Pakistan

Qazi Mazhar ul Haq Taiwan

Shan Sung Liew Malaysia

Fangyuan Lei China

Nemanja Milošević

104 ×1.4

91 ×1.8

CVPR

20 ×1.0

EEE

11 ×0.6

RNMI

23 ×1.2

CSE

Citations per year, relative to Nemanja Milošević Nemanja Milošević (= 1×) peers Fangyuan Lei

Countries citing papers authored by Nemanja Milošević

Since Specialization

Citations

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

Fields of papers citing papers by Nemanja Milošević

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nemanja Milošević

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

All Works

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20 of 20 papers shown

Milošević, Nemanja, et al.. (2025). Prediction of progesterone receptor binding potency, agonism and antagonism using machine learning models. Computational Toxicology. 34. 100351–100351. 1 indexed citations

Stanić, Bojana, et al.. (2024). Differential eigengene network analysis reveals benzo[a]pyrene and 2,3,7,8-tetrachlorodibenzo-p-dioxin consensus regulatory network in human liver cell line HepG2. Toxicology. 502. 153737–153737.

Milošević, Nemanja, et al.. (2024). Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks. Applied Sciences. 14(4). 1325–1325. 14 indexed citations

Milić, Dubravka, et al.. (2024). Exploring the effects of habitat management on grassland biodiversity: A case study from northern Serbia. PLoS ONE. 19(3). e0301391–e0301391. 1 indexed citations

Milošević, Nemanja, et al.. (2023). Predicting chemicals’ toxicity pathway of female reproductive disorders using AOP7 and deep neural networks. Food and Chemical Toxicology. 180. 114013–114013. 4 indexed citations

Milošević, Nemanja, et al.. (2023). Automated program improvement with reinforcement learning and graph neural networks. Soft Computing. 28(3). 2593–2604. 2 indexed citations

Milošević, Nemanja, Dragana Bajović, Soummya Kar, et al.. (2023). Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. 875–879. 2 indexed citations

Stanić, Bojana, et al.. (2023). An in silico toxicogenomic approach in constructing the aflatoxin B1-mediated regulatory network of hub genes in hepatocellular carcinoma. Toxicology Mechanisms and Methods. 33(7). 552–562. 2 indexed citations

Milošević, Nemanja, et al.. (2023). Dynamic Split Computing for Efficient Deep EDGE Intelligence. 1–5. 24 indexed citations

10.

Jakovetić, Dušan, et al.. (2023). Non-linear Gradient Mappings and Stochastic Optimization: a General Framework with Applications to Heavy-Tail Noise. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

11.

Jakovetić, Dušan, Dragana Bajović, Anit Kumar Sahu, et al.. (2023). Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM Journal on Optimization. 33(2). 394–423. 4 indexed citations

12.

Milošević, Nemanja, et al.. (2022). BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. 2022 30th European Signal Processing Conference (EUSIPCO). 1097–1101. 1 indexed citations

13.

Milošević, Nemanja & Miren Gutiérrez. (2021). FEAR and "The great reset": Analysis of the World Economic Forum's post-COVID agenda videos and the adverse reactions to them. Repositório Científico Lusófona (Grupo Lusófona). 1 indexed citations

14.

Milošević, Nemanja, et al.. (2020). Innovative Co-Creative Participatory Methodologies for a Dreamt-of Quality Education in Europe. Sustainability. 12(16). 6385–6385. 7 indexed citations

15.

Milošević, Nemanja. (2020). Introduction to Convolutional Neural Networks. Apress eBooks. 131 indexed citations

16.

Milošević, Nemanja, et al.. (2020). Synergy between traditional classification and classification based on negative features in deep convolutional neural networks. Neural Computing and Applications. 33(13). 7593–7602.

17.

Milošević, Nemanja, et al.. (2019). CLASSIFICATION BASED ON MISSING FEATURES IN DEEP CONVOLUTIONAL NEURAL NETWORKS. Neural Network World. 29(4). 221–234. 1 indexed citations

18.

Milošević, Nemanja, et al.. (2016). Enabling the IoT paradigm through multi-tenancy supported by scalable data acquisition layer. Annals of Telecommunications. 72(1-2). 71–78. 4 indexed citations

19.

Nikolić, Marija, et al.. (2015). Sparse localization of tumors inside an inhomogeneous breast. 1056–1059. 2 indexed citations

20.

Milošević, Nemanja, et al.. (2015). Numerical heterogeneous breast phantoms with different resolutions. 1–3. 2 indexed citations

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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