Umar Manzoor

1.5k citations
87 papers · 1.0k · h-index 17

Impact in

Papers in

Umar Manzoor

81 papers receiving 976 citations

Peers

Umar Manzoor
Comparison fields: 5 of 124
  • Computer Science Applications 172
  • Health Information Management 64
  • Artificial Intelligence 372
  • Computer Networks and Communications 205
  • Information Systems 168
Replace Tomáš Horváth with:
Tomáš Horváth Slovakia
Huahu Xu China
Hui-Huang Hsu Taiwan
Mona Mamdouh Jamjoom Saudi Arabia
Elena Verdú Spain
Shailendra Narayan Singh India
Franca Delmastro Italy
Tom Diethe United Kingdom
Galip Aydın Türkiye
Amr Elchouemi United States
Umar Manzoor relative to Tomáš Horváth Slovakia Tomáš Horváth's profile →
Citations per field
00.5×2×2.9×
Tomáš Horváth · 1×
Citations per year

Countries citing papers authored by Umar Manzoor

Since Specialization
Citations

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

Fields of papers citing papers by Umar Manzoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016175
2 2020129
3 202361
4 202336
5 202125
6 202123
7 201523
8 201523
9 200921
10 201921
11 201019
12 202219
13 201919
14 201718
15 201418
16 200617
17 202317
18 201117
19 201217
20 201917

About Umar Manzoor

Umar Manzoor is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Neurology, having authored 87 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (15 papers), Peer-to-Peer Network Technologies (10 papers), Hydraulic Fracturing and Reservoir Analysis (7 papers), Privacy-Preserving Technologies in Data (6 papers), Network Security and Intrusion Detection (6 papers), Multi-Agent Systems and Negotiation (6 papers), Hydrocarbon exploration and reservoir analysis (6 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Computer Science Applications (172 citations), Health Information Management (64 citations), Artificial Intelligence (372 citations), Computer Networks and Communications (205 citations) and Information Systems (168 citations). Umar Manzoor has collaborated with scholars based in Pakistan, United Kingdom and Saudi Arabia. Frequent co-authors include Bassam Abdulwahab Zafar, Samia Nefti‐Meziani, Ahmed Mueen, Nishant Kumar Singh, Joel J. P. C. Rodrigues, Mohsin Raza, Saif ul Islam, Muhammad Awais, Adeel Anjum and John F. Murray. Their work appears in journals such as IEEE Access, Robotics and Autonomous Systems, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Computers & Security and Expert Systems with Applications.

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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