Saeeda Usman

409 citations
19 papers · 311 · h-index 9

Impact in

Papers in

Saeeda Usman

19 papers receiving 301 citations

Peers

Saeeda Usman
Comparison fields: 5 of 53
  • Signal Processing 86
  • Computer Networks and Communications 166
  • Hardware and Architecture 38
  • Information Systems 79
  • Artificial Intelligence 63
Replace Baosheng Wang with:
Baosheng Wang China
Ghufran Baig United States
Haifeng Zhou China
K. Poulose Jacob India
Yousung Kang South Korea
Saloni Jain United States
Girish Revadigar Australia
Tal Anker Israel
Rehan Ahmed Pakistan
Saeeda Usman relative to Baosheng Wang China Baosheng Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saeeda Usman

Since Specialization
Citations

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

Fields of papers citing papers by Saeeda Usman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2021106
2 201438
3 201835
4 201729
5 202021
6 201514
7 201312
8 201912
9 20178
10 20177
11 20186
12 20146
13 20235
14 20144
15 20153
16 20142
17 20201
18 20141
19 20171

About Saeeda Usman

Saeeda Usman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 19 papers that have together received 311 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Network Security and Intrusion Detection (3 papers), Interconnection Networks and Systems (3 papers), Energy Load and Power Forecasting (2 papers), Antenna Design and Optimization (2 papers), Cloud Computing and Resource Management (2 papers), Antenna Design and Analysis (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Signal Processing (86 citations), Computer Networks and Communications (166 citations), Hardware and Architecture (38 citations), Information Systems (79 citations) and Artificial Intelligence (63 citations). Saeeda Usman has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Ahthasham Sajid, Mian Ahmad Jan, Fazlullah Khan, Paul Watters, Mamoun Alazab, Samee U. Khan, C. A. Mehmood, Sanay Muhammad Umar Saeed, Muhammad Majid and Syed Muhammad Anwar. Their work appears in journals such as Future Generation Computer Systems, IEEE Access, Computers in Biology and Medicine, Sensors and The Journal of Engineering.

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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