Asmaa Elbadrawy

428 total citations
8 papers, 276 citations indexed

About

Asmaa Elbadrawy is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Asmaa Elbadrawy has authored 8 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Computer Science Applications. Recurrent topics in Asmaa Elbadrawy's work include Online Learning and Analytics (4 papers), Recommender Systems and Techniques (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Asmaa Elbadrawy is often cited by papers focused on Online Learning and Analytics (4 papers), Recommender Systems and Techniques (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Asmaa Elbadrawy collaborates with scholars based in United States and Egypt. Asmaa Elbadrawy's co-authors include George Karypis, Zhiyun Ren and Huzefa Rangwala and has published in prestigious journals such as Computer, ACM Transactions on Intelligent Systems and Technology and Civil Engineering and Architecture.

In The Last Decade

Asmaa Elbadrawy

8 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asmaa Elbadrawy United States	6	201	142	126	41	32	8	276
Zhiyun Ren United States	7	110 0.5×	90 0.6×	90 0.7×	29 0.7×	19 0.6×	16	195
Ali Salah Hashim Iraq	6	157 0.8×	98 0.7×	83 0.7×	34 0.8×	35 1.1×	11	279
Αλέξανδρος Καράκος Greece	9	126 0.6×	103 0.7×	95 0.8×	81 2.0×	53 1.7×	28	283
Everaldo Aguiar United States	7	169 0.8×	125 0.9×	38 0.3×	31 0.8×	62 1.9×	10	275
Mewati Ayub Indonesia	10	144 0.7×	104 0.7×	121 1.0×	22 0.5×	28 0.9×	47	281
Anchal Garg India	7	64 0.3×	53 0.4×	39 0.3×	24 0.6×	29 0.9×	33	206
Regina Motz Uruguay	6	59 0.3×	50 0.4×	65 0.5×	23 0.6×	13 0.4×	59	152
Alfred Essa United States	7	195 1.0×	68 0.5×	34 0.3×	18 0.4×	62 1.9×	17	236
Khairil Imran Ghauth Malaysia	9	148 0.7×	141 1.0×	198 1.6×	32 0.8×	23 0.7×	23	312
Amirah Mohamed Shahiri Malaysia	3	491 2.4×	259 1.8×	136 1.1×	115 2.8×	80 2.5×	5	573

Countries citing papers authored by Asmaa Elbadrawy

Since Specialization

Citations

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

Fields of papers citing papers by Asmaa Elbadrawy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asmaa Elbadrawy

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

All Works

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8 of 8 papers shown

1.

Elbadrawy, Asmaa, et al.. (2023). A Methodology to Measure Urban Quality of Life in New Cities in Egypt (New Damietta Case Study). Civil Engineering and Architecture. 11(5). 2543–2558. 2 indexed citations

2.

Elbadrawy, Asmaa & George Karypis. (2019). UPM. 373–382. 2 indexed citations

3.

Elbadrawy, Asmaa, et al.. (2016). Predicting Student Performance Using Personalized Analytics. Computer. 49(4). 61–69. 99 indexed citations

4.

Elbadrawy, Asmaa & George Karypis. (2016). Domain-Aware Grade Prediction and Top-n Course Recommendation. 183–190. 63 indexed citations

5.

Elbadrawy, Asmaa & George Karypis. (2015). User-Specific Feature-Based Similarity Models for Top- n Recommendation of New Items. ACM Transactions on Intelligent Systems and Technology. 6(3). 1–20. 37 indexed citations

6.

Elbadrawy, Asmaa, et al.. (2015). Collaborative multi-regression models for predicting students' performance in course activities. 103–107. 56 indexed citations

7.

Elbadrawy, Asmaa & George Karypis. (2014). Feature-based Similarity Models for Top-n Recommendation of New Items. University of Minnesota Digital Conservancy (University of Minnesota). 5 indexed citations

8.

Elbadrawy, Asmaa, et al.. (2014). Personalized Multi-Regression Models for Predicting Students’ Performance in Course Activities. University of Minnesota Digital Conservancy (University of Minnesota). 12 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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