Ali T. Hammad

516 citations
37 papers · 371 · h-index 11

Impact in

Papers in

Ali T. Hammad

36 papers receiving 366 citations

Peers

Ali T. Hammad
Comparison fields: 5 of 55
  • Computer Networks and Communications 196
  • Electrical and Electronic Engineering 251
  • Statistics and Probability 29
  • Statistics, Probability and Uncertainty 10
  • Information Systems 30
Replace Asif Kabir with:
Asif Kabir China
S. F. Yashkov Russia
Kiran Ahuja India
Milan Lopuhaä-Zwakenberg Netherlands
Michael Georgiades United Kingdom
Qian Wei China
Mihalis G. Markakis United States
Ash Mohammad Abbas India
Satyadhar Joshi India
Claus G. Gruber Germany
Ali T. Hammad relative to Asif Kabir China Asif Kabir's profile →
Citations per field
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Asif Kabir · 1×
Citations per year

Countries citing papers authored by Ali T. Hammad

Since Specialization
Citations

This map shows the geographic impact of Ali T. 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 Ali T. Hammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali T. Hammad more than expected).

Fields of papers citing papers by Ali T. Hammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201843
3 201633
4 200824
5 201921
6 201218
7 201516
8 201915
9 201313
10 201412
11 202412
12 202511
13 202411
14 201510
15 20198
16 20176
17 20256
18 20165
19 20115
20 20255

About Ali T. Hammad

Ali T. Hammad is a scholar working on Computer Networks and Communications, Statistics and Probability, Electrical and Electronic Engineering, Information Systems and Computer Science Applications, having authored 37 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (15 papers), Software-Defined Networks and 5G (14 papers), Advanced Photonic Communication Systems (11 papers), Advanced Statistical Methods and Models (7 papers), Optical Network Technologies (6 papers), Cloud Computing and Resource Management (4 papers), Caching and Content Delivery (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Electrical and Electronic Engineering (251 citations), Statistics and Probability (29 citations), Statistics, Probability and Uncertainty (10 citations) and Information Systems (30 citations). Ali T. Hammad has collaborated with scholars based in United Kingdom, China and Egypt. Frequent co-authors include Dimitra E. Simeonidou, Reza Nejabati, Shuping Peng, Yanni Ou, Karcius Assis, Raul C. Almeida Júnior, Helio Waldman, Mayur P. Channegowda, Achim Autenrieth and Koteswararao Kondepu. Their work appears in journals such as Journal of Optical Communications and Networking, Scientific Reports, Journal of Lightwave Technology, Electronics Letters and Computer Networks.

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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