Hoda Eldardiry

1.0k citations
59 papers · 557 · h-index 11

Impact in

Papers in

Hoda Eldardiry

50 papers receiving 541 citations

Peers

Hoda Eldardiry
Comparison fields: 5 of 82
  • Signal Processing 93
  • Information Systems and Management 55
  • Health Informatics 9
  • Artificial Intelligence 226
  • Computer Networks and Communications 140
Replace Andrea Mauri with:
Andrea Mauri Italy
Amélie Gyrard United States
Krishna Kumar Mohbey India
Panos Kostakos Finland
Javier Carbó Spain
Nathan Yau United States
Luís Cruz Netherlands
Mario Casillo Italy
Luca Virgili Italy
Yongli Ren Australia
Hoda Eldardiry relative to Andrea Mauri Italy Andrea Mauri's profile →
Citations per field
00.5×2.9×
Andrea Mauri · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 202060
3
8th USENIX Workshop on the Theory and Practice of Provenance (TaPP '16)
201657
4 202056
5 201127
6 201524
7 202520
8 201517
9 202316
10 201316
11 201611
12 201810
13 202110
14
A Resampling Technique for Relational Data Graphs
200810
15 202110
16 20219
17 20239
18 20218
19 20227
20 20127

About Hoda Eldardiry

Hoda Eldardiry is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Safety Research and Information Systems, having authored 59 papers that have together received 557 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Traffic Prediction and Management Techniques (7 papers), Time Series Analysis and Forecasting (6 papers), Data Stream Mining Techniques (6 papers), Text and Document Classification Technologies (6 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Graph Neural Networks (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Signal Processing (93 citations), Information Systems and Management (55 citations), Health Informatics (9 citations), Artificial Intelligence (226 citations) and Computer Networks and Communications (140 citations). Hoda Eldardiry has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jennifer Neville, Ryan A. Rossi, Hesham Rakha, John Hanley, Oliver Brdiczka, Bob Price, Nesreen K. Ahmed, Rong Zhou, Jianhe Du and Evgeniy Bart. Their work appears in journals such as IEEE Control Systems Letters, ACM Transactions on Knowledge Discovery from Data, Systems & Control Letters, Sensors and ACM Transactions on Intelligent Systems and Technology.

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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