Osama Makansi

620 total citations
4 papers, 153 citations indexed

About

Osama Makansi is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Osama Makansi has authored 4 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Automotive Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Osama Makansi's work include Anomaly Detection Techniques and Applications (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and Urban Heat Island Mitigation (1 paper). Osama Makansi is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and Urban Heat Island Mitigation (1 paper). Osama Makansi collaborates with scholars based in Germany. Osama Makansi's co-authors include Thomas Brox, Özgün Çiçek, Eddy Ilg, Yassine Marrakchi, Andreas Matzarakis, Andreas Christen, Frank Hutter and Aaron Klein and has published in prestigious journals such as Urban Climate, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Osama Makansi

4 papers receiving 147 citations

Peers

Countries citing papers authored by Osama Makansi

Since Specialization

Citations

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

Fields of papers citing papers by Osama Makansi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Osama Makansi

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	Modelling long-term thermal comfort conditions in urban environments using a deep convolutional encoder-decoder as a computational shortcut 2022 ·Urban Climate ·(unknown), Osama Makansi, Thomas Brox, Andreas Matzarakis, Andreas Christen	18
2	On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox	29
3	Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction 2019 ·arXiv (Cornell University) ·Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox	103
4	Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks 2018 ·arXiv (Cornell University) ·Eddy Ilg, Özgün Çiçek, (unknown), Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox	3

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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