Mark Ibrahim

50 total papers · 621 total citations
4 papers, 76 citations indexed

About

Mark Ibrahim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Mark Ibrahim has authored 4 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Mark Ibrahim's work include Adversarial Robustness in Machine Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Machine Learning and Data Classification (1 paper). Mark Ibrahim is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Machine Learning and Data Classification (1 paper). Mark Ibrahim collaborates with scholars based in United States. Mark Ibrahim's co-authors include John Paisley, Cristian Canton Ferrer, Ivan Evtimov, Caner Hazırbaş, Tal Hassner, Zhiheng Li, Chenliang Xu, Albert Gordo, Jiachen Sun and Z. Morley Mao and has published in prestigious journals such as .

In The Last Decade

Mark Ibrahim

3 papers receiving 74 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mark Ibrahim	59	14	6	6	5	4	76
Timo Freiesleben	48 0.8×	5 0.4×	6 1.0×	11 1.8×	3 0.6×	4	87
Suchi Saria	58 1.0×	22 1.6×	6 1.0×	5 0.8×	7 1.4×	4	105
Wangding Zeng	21 0.4×	21 1.5×	3 0.5×	3 0.5×	5 1.0×	3	66
Gunnar König	40 0.7×	5 0.4×	3 0.5×	3 0.5×	2 0.4×	4	104
Elli Kanal	31 0.5×	8 0.6×	5 0.8×	5 0.8×	2 0.4×	3	47
Sravani Nalluri	53 0.9×	5 0.4×	17 2.8×	4 0.7×	7 1.4×	7	89
Prashant Shah	54 0.9×	5 0.4×	18 3.0×	8 1.3×	6 1.2×	5	76
Chenggang Zhao	37 0.6×	54 3.9×	5 0.8×	3 0.5×	8 1.6×	5	110
Sami Mourad	80 1.4×	7 0.5×	2 0.3×	18 3.0×	4 0.8×	5	96
Huazuo Gao	18 0.3×	7 0.5×	3 0.5×	3 0.5×	6 1.2×	3	53

Countries citing papers authored by Mark Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Mark Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Ibrahim

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact