Sherif Halawa

879 total citations
16 papers, 564 citations indexed

About

Sherif Halawa is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Sociology and Political Science. According to data from OpenAlex, Sherif Halawa has authored 16 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Science Applications and 5 papers in Sociology and Political Science. Recurrent topics in Sherif Halawa's work include Online Learning and Analytics (6 papers), Image and Video Quality Assessment (4 papers) and Multimedia Communication and Technology (4 papers). Sherif Halawa is often cited by papers focused on Online Learning and Analytics (6 papers), Image and Video Quality Assessment (4 papers) and Multimedia Communication and Technology (4 papers). Sherif Halawa collaborates with scholars based in United States, Egypt and Spain. Sherif Halawa's co-authors include René F. Kizilcec, Daniel Greene, Justin Reich, José A. Ruipérez‐Valiente, Bernd Girod, Ngai‐Man Cheung, Rachel Slama, Aditya Mavlankar, Thomas Staubitz and Carlos Turró and has published in prestigious journals such as Computers & Education and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Sherif Halawa

14 papers receiving 526 citations

Peers

Sherif Halawa

CSA

EDUCA

AI

DEP

CVPR

Piotr Mitros United States

C. Oswald India

I‐Han Hsiao United States

Daryl D’Souza Australia

Anis Farihan Mat Raffei Malaysia

Gonzalo Parra Belgium

Giuliana Dettori Italy

Alexandros Paramythis Austria

Gökhan Akçapınar Türkiye

Fotis Lazarinis Greece

Piotr Mitros United States

Sherif Halawa

388 ×1.0

CSA

228 ×1.1

EDUCA

117 ×1.1

AI

76 ×0.9

DEP

69 ×0.9

CVPR

Citations per year, relative to Sherif Halawa Sherif Halawa (= 1×) peers Piotr Mitros

Countries citing papers authored by Sherif Halawa

Since Specialization

Citations

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

Fields of papers citing papers by Sherif Halawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherif Halawa

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

All Works

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16 of 16 papers shown

1.

Ruipérez‐Valiente, José A., Thomas Staubitz, Sherif Halawa, et al.. (2022). Large scale analytics of global and regional MOOC providers: Differences in learners’ demographics, preferences, and perceptions. Computers & Education. 180. 104426–104426. 34 indexed citations

2.

Ruipérez‐Valiente, José A., Thomas Staubitz, Xitong Li, et al.. (2020). Macro MOOC learning analytics. DSpace@MIT (Massachusetts Institute of Technology). 518–523. 16 indexed citations

3.

Ruipérez‐Valiente, José A., Sherif Halawa, & Justin Reich. (2019). Multiplatform MOOC Analytics. DSpace@MIT (Massachusetts Institute of Technology). 1–9. 7 indexed citations

4.

Ruipérez‐Valiente, José A., Sherif Halawa, Rachel Slama, & Justin Reich. (2019). Using multi-platform learning analytics to compare regional and global MOOC learning in the Arab world. Computers & Education. 146. 103776–103776. 49 indexed citations

5.

Kizilcec, René F. & Sherif Halawa. (2015). Attrition and Achievement Gaps in Online Learning. 57–66. 205 indexed citations

6.

Halawa, Sherif, et al.. (2014). Dropout Prediction in MOOCs using Learner Activity Features. 1. 156 indexed citations

7.

Thille, Candace, et al.. (2014). The Future of Data-Enriched Assessment.. 9. 5–16. 21 indexed citations

8.

Halawa, Sherif, et al.. (2011). Mobile interactive region-of-interest video streaming with crowd-driven prefetching. 7–12. 9 indexed citations

9.

Halawa, Sherif, et al.. (2011). ClassX. 719–722. 17 indexed citations

10.

Halawa, Sherif, et al.. (2011). ClassX Mobile. 787–788. 8 indexed citations

11.

Mavlankar, Aditya, et al.. (2010). An interactive region-of-interest video streaming system for online lecture viewing. 1. 64–71. 35 indexed citations

12.

Cheung, Ngai‐Man, David Chen, Vijay Chandrasekhar, et al.. (2010). Restoration of out-of-focus lecture video by automatic slide matching. 899–902. 3 indexed citations

13.

Halawa, Sherif & Hassan M. Elkamchouchi. (2009). Improving wireless LAN performance in the presence of integrated multimedia services. 1–9.

14.

Halawa, Sherif & Hassan M. Elkamchouchi. (2008). A novel session layer protocol with enhanced rate and passive and active attack detection capabilities in quantum communication. 1–8. 1 indexed citations

15.

Halawa, Sherif & Hassan M. Elkamchouchi. (2008). An object-based video codec with object preference-based rate allocation, object-based encryption, and format-compliant background sprite embedding capabilities (OVX). 1–10. 2 indexed citations

16.

Halawa, Sherif & Hassan M. Elkamchouchi. (2008). A novel MPEG video encryption scheme for protecting MPEG coded video in collaborative domains. 1–10. 1 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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