Abbas Sadat

713 total citations
5 papers, 411 citations indexed

About

Abbas Sadat is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Abbas Sadat has authored 5 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Automotive Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Abbas Sadat's work include Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (3 papers) and Human Pose and Action Recognition (2 papers). Abbas Sadat is often cited by papers focused on Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (3 papers) and Human Pose and Action Recognition (2 papers). Abbas Sadat collaborates with scholars based in Canada and United States. Abbas Sadat's co-authors include Raquel Urtasun, Sergio Casas, Bin Yang, Simon Su, Wenjie Luo, Wenyuan Zeng, Renjie Liao, James Tu, Mengye Ren and Jingkang Wang and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Abbas Sadat

5 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abbas Sadat Canada	4	303	203	149	81	47	5	411
Maximilian Naumann Germany	6	227 0.7×	126 0.6×	38 0.3×	95 1.2×	55 1.2×	9	317
Andreas Tamke Germany	7	355 1.2×	120 0.6×	101 0.7×	124 1.5×	128 2.7×	13	433
Boris Ivanovic United States	12	241 0.8×	163 0.8×	115 0.8×	51 0.6×	57 1.2×	30	351
Jarrod Snider United States	5	324 1.1×	206 1.0×	41 0.3×	172 2.1×	36 0.8×	5	409
Jiatong Du China	3	260 0.9×	101 0.5×	69 0.5×	84 1.0×	78 1.7×	11	369
Moritz Klischat Germany	9	175 0.6×	66 0.3×	72 0.5×	109 1.3×	36 0.8×	11	298
Antonio Prioletti Italy	8	160 0.5×	203 1.0×	59 0.4×	44 0.5×	35 0.7×	10	326
Marc René Zofka Germany	12	262 0.9×	100 0.5×	41 0.3×	130 1.6×	47 1.0×	32	386
Huilin Yin China	8	136 0.4×	105 0.5×	75 0.5×	88 1.1×	18 0.4×	38	308
Tobias Moers Germany	5	197 0.7×	62 0.3×	37 0.2×	90 1.1×	68 1.4×	9	283

Countries citing papers authored by Abbas Sadat

Since Specialization

Citations

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

Fields of papers citing papers by Abbas Sadat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abbas Sadat

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Casas, Sergio, et al.. (2024). QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. 14236–14243. 2 indexed citations

2.

Wang, Jingkang, James Tu, Sivabalan Manivasagam, et al.. (2021). AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. 9904–9913. 104 indexed citations

3.

Casas, Sergio, et al.. (2021). LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16087–16096. 75 indexed citations

4.

Sadat, Abbas, Sergio Casas, James Tu, et al.. (2021). Diverse Complexity Measures for Dataset Curation in Self-Driving. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8609–8616. 7 indexed citations

5.

Zeng, Wenyuan, Wenjie Luo, Simon Su, et al.. (2019). End-To-End Interpretable Neural Motion Planner. 8652–8661. 223 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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