Marwan Torki

2.6k total citations · 2 hit papers
79 papers, 1.7k citations indexed

About

Marwan Torki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Marwan Torki has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Marwan Torki's work include Natural Language Processing Techniques (24 papers), Topic Modeling (23 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Marwan Torki is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (23 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Marwan Torki collaborates with scholars based in Egypt, United States and Saudi Arabia. Marwan Torki's co-authors include Mohamed E. Hussein, Motaz El-Saban, Nagwa El-Makky, Hamada Rizk, Moustafa Youssef, Mustafa ElNainay, Ahmed Elgammal, Moustafa Elhamshary, Reham Mohamed and Heba Abdelnasser and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Sensors Journal.

In The Last Decade

Marwan Torki

66 papers receiving 1.7k citations

Hit Papers

Human action recognition using a temporal hierarchy of co... 2013 2026 2017 2021 2013 2019 100 200 300

Peers

Marwan Torki
Comparison fields: 5 of 100
  • Artificial Intelligence 749
  • Computer Vision and Pattern Recognition 716
  • Electrical and Electronic Engineering 468
  • Biomedical Engineering 338
  • Signal Processing 239
Replace Chenglin Miao with:
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Huajie Shao United States
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Citations per field, relative to Marwan Torki
Marwan Torki · 1×
Citations per year, relative to Marwan Torki
Marwan Torki · 1×

Countries citing papers authored by Marwan Torki

Since Specialization
Citations

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

Fields of papers citing papers by Marwan Torki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marwan Torki

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 0
5 0
6 1
7 1
8 22
9 3
10 1
11 2
12 2
13 3
14 1
15 6
16 3
17 13
18
Real, Live, and Concise: Answering Open-Domain Questions with Word Embedding and Summarization.
2
19
QU at TREC-2015: Building Real-Time Systems for Tweet Filtering and Question Answering
2
20 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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