Hoda Eldardiry

1.1k citations
65 papers · 638 · 1 hit paper · h-index 12

Impact in

Papers in

Hoda Eldardiry

57 papers receiving 623 citations

Hoda Eldardiry's Hit Papers

Examining Faculty and Student Perceptions of Generative AI in University Courses 2025 · 39 citations
390Years since publication102030

Peers

Hoda Eldardiry
Comparison fields: 5 of 68
  • Information Systems 173
  • Artificial Intelligence 199
  • Computer Networks and Communications 96
  • Information Systems and Management 39
  • Safety Research 50
Replace Panos Kostakos with:
Panos Kostakos Finland
Anthony Ventresque Ireland
Udayan Khurana United States
Yiqi Wang China
Charalampos Chelmis United States
Yufei Chen China
Yangzhou Du China
Sandeep Pandey India
Antonio Si Hong Kong
Nikica Hlupić Croatia
Hoda Eldardiry relative to Panos Kostakos Finland Panos Kostakos's profile →
Citations per field
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Panos Kostakos · 1×
Citations per year

Countries citing papers authored by Hoda Eldardiry

Since Specialization
Citations

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

Fields of papers citing papers by Hoda Eldardiry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hoda Eldardiry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hoda Eldardiry Line = papers co-authored together Hoda Eldardiry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 202072
3
8th USENIX Workshop on the Theory and Practice of Provenance (TaPP '16)
201662
4 202057
5
Examining Faculty and Student Perceptions of Generative AI in University Courses
Hit paper breakdown →
202539
6 201126
7 201526
8 202323
9 201517
10 202314
11 202113
12 201812
13 202112
14 201611
15 202110
16
A Resampling Technique for Relational Data Graphs
20089
17 20219
18 20249
19 20259
20 20218

About Hoda Eldardiry

Hoda Eldardiry is a scholar working on Artificial Intelligence, Safety Research, Signal Processing, Information Systems and Control and Systems Engineering, having authored 65 papers that have together received 638 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Ethics and Social Impacts of AI (9 papers), Advanced Graph Neural Networks (8 papers), Time Series Analysis and Forecasting (6 papers), Traffic Prediction and Management Techniques (5 papers), Information Systems Education and Curriculum Development (4 papers), Machine Learning and Algorithms (4 papers) and Forecasting Techniques and Applications (3 papers). The work is most often cited by research in Information Systems (173 citations), Artificial Intelligence (199 citations), Computer Networks and Communications (96 citations), Information Systems and Management (39 citations) and Safety Research (50 citations). Hoda Eldardiry has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Jennifer Neville, Ryan A. Rossi, Hesham A. Rakha, Rong Zhou, Hongjie Chen, Nesreen K. Ahmed, Evgeniy Bart, Fethi Filali, Oliver Brdiczka and Bob Price. Their work appears in journals such as IEEE Control Systems Letters, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Knowledge and Data Engineering, IEEE Access and Systems & Control Letters.

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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