Rao Muhammad Umer

507 total citations
7 papers, 73 citations indexed

About

Rao Muhammad Umer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Rao Muhammad Umer has authored 7 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Rao Muhammad Umer's work include Privacy-Preserving Technologies in Data (3 papers), Advanced Image Processing Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Rao Muhammad Umer is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), Advanced Image Processing Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Rao Muhammad Umer collaborates with scholars based in Italy, Germany and Pakistan. Rao Muhammad Umer's co-authors include Gian Luca Foresti, Christian Micheloni and Carsten Marr and has published in prestigious journals such as IEEE Access, International Journal of Medical Informatics and International Journal of Neural Systems.

In The Last Decade

Rao Muhammad Umer

7 papers receiving 70 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rao Muhammad Umer Italy	4	41	24	17	10	5	7	73
Chenggang Zhao China	4	55 1.3×	37 1.5×	3 0.2×	12 1.2×	9 1.8×	5	115
Ju Xu China	4	57 1.4×	87 3.6×	7 0.4×	7 0.7×	4 0.8×	6	110
Enyu Zhou United States	4	57 1.4×	15 0.6×	7 0.4×	4 0.4×	2 0.4×	4	76
Mohammad Pezeshki Canada	2	17 0.4×	25 1.0×	5 0.3×	4 0.4×	4 0.8×	3	52
Neetu Singh India	5	44 1.1×	7 0.3×	12 0.7×	11 1.1×	6 1.2×	24	72
Orestis Plevrakis United States	2	51 1.2×	84 3.5×	5 0.3×	4 0.4×	1 0.2×	2	113
Myriam Côté Canada	5	68 1.7×	45 1.9×	6 0.4×	3 0.3×	6 1.2×	9	104
Paulo Villegas Spain	5	87 2.1×	28 1.2×	6 0.4×	23 2.3×	4 0.8×	18	115
Kamalpreet Kaur India	4	17 0.4×	13 0.5×	6 0.4×	13 1.3×	6 1.2×	17	44
Fukang Liu China	5	29 0.7×	49 2.0×	4 0.2×	4 0.4×	5 1.0×	29	75

Countries citing papers authored by Rao Muhammad Umer

Since Specialization

Citations

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

Fields of papers citing papers by Rao Muhammad Umer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rao Muhammad Umer. 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 Rao Muhammad Umer. The network helps show where Rao Muhammad Umer may publish in the future.

Co-authorship network of co-authors of Rao Muhammad Umer

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

All Works

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7 of 7 papers shown

1.

Umer, Rao Muhammad, et al.. (2025). FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells. International Journal of Medical Informatics. 195. 105806–105806. 3 indexed citations

2.

Umer, Rao Muhammad, et al.. (2024). Robust Federated Learning for Heterogeneous Model and Data. International Journal of Neural Systems. 34(4). 2450019–2450019. 2 indexed citations

3.

Umer, Rao Muhammad, et al.. (2023). Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning. IEEE Access. 11. 16549–16556. 20 indexed citations

4.

Umer, Rao Muhammad, et al.. (2023). Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients. International Journal of Neural Systems. 33(8). 2350033–2350033. 10 indexed citations

5.

Umer, Rao Muhammad & Christian Micheloni. (2022). Real Image Super-Resolution using GAN through modeling of LR and HR process. Institutional Research Information System (University of Udine). 1–8. 1 indexed citations

6.

Umer, Rao Muhammad, et al.. (2021). A deep residual star generative adversarial network for multi-domain image super-resolution. Institutional Research Information System (University of Udine). 2 indexed citations

7.

Umer, Rao Muhammad, Gian Luca Foresti, & Christian Micheloni. (2020). Deep generative adversarial residual convolutional networks for real-world super-resolution. Institutional Research Information System (University of Udine). 35 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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