Moustafa A. Hammad

958 citations
31 papers · 445 · h-index 10

Impact in

Papers in

Moustafa A. Hammad

30 papers receiving 414 citations

Peers

Moustafa A. Hammad
Comparison fields: 5 of 36
  • Signal Processing 304
  • Computer Networks and Communications 348
  • Artificial Intelligence 174
  • Information Systems 90
  • Computer Vision and Pattern Recognition 80
Replace Mauro Negri with:
Mauro Negri Italy
Curt J. Ellmann United States
Navin Kabra United States
Ahmed M. Aly United States
Philippe Rigaux France
Ahmed R. Mahmood United States
Uri Shaft United States
Yinan Jing China
Shyh-Kwei Chen United States
Xiaopeng Xiong United States
Moustafa A. Hammad relative to Mauro Negri Italy Mauro Negri's profile →
Citations per field
00.5×2.9×
Mauro Negri · 1×
Citations per year

Countries citing papers authored by Moustafa A. Hammad

Since Specialization
Citations

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

Fields of papers citing papers by Moustafa A. Hammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moustafa A. Hammad. 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 Moustafa A. Hammad. The network helps show where Moustafa A. Hammad may publish in the future.

Co-authors

The 25 scholars most cited alongside Moustafa A. Hammad, 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 Moustafa A. Hammad Line = papers co-authored together Moustafa A. Hammad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200480
2 200573
3 200361
4 200744
5 200625
6 200024
7
Efficient Execution of Sliding-Window Queries Over Data Streams
200320
8 200314
9
A Video Database Management System for Advancing Video Database Research.
200210
10 200610
11 20099
12 20048
13 20078
14
Query Processing using Negative Tuples in Stream Query Engines
20047
15 20037
16 20106
17 20046
18 20065
19 20074
20 20084

About Moustafa A. Hammad

Moustafa A. Hammad is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 31 papers that have together received 445 indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Advanced Database Systems and Queries (17 papers), Advanced Data Storage Technologies (8 papers), Data Stream Mining Techniques (7 papers), Peer-to-Peer Network Technologies (4 papers), Video Analysis and Summarization (4 papers), Algorithms and Data Compression (4 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Signal Processing (304 citations), Computer Networks and Communications (348 citations), Artificial Intelligence (174 citations), Information Systems (90 citations) and Computer Vision and Pattern Recognition (80 citations). Moustafa A. Hammad has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Walid G. Aref, Ahmed K. Elmagarmid, Mohamed F. Mokbel, Xiaopeng Xiong, Thanaa M. Ghanem, Ann Christine Catlin, Ihab F. Ilyas, Mohamed Elfeky, Elisa Bertino and Mohamed Y. Eltabakh. Their work appears in journals such as GeoInformatica, Multimedia Systems, The VLDB Journal, IEEE Transactions on Knowledge and Data Engineering and The Journal of Supercomputing.

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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