Umar Manzoor

1.3k citations
74 papers · 778 indexed · h-index 16

Impact in

Papers in

Umar Manzoor

65 papers receiving 732 citations

Peers

Umar Manzoor
Comparison fields: 5 of 112
  • Computer Science Applications 144
  • Health Information Management 57
  • Artificial Intelligence 303
  • Computer Networks and Communications 144
  • Information Systems 138
Replace Mejdl Safran with:
Mejdl Safran Saudi Arabia
Huahu Xu China
K. G. Srinivasa India
Tomáš Horváth Slovakia
Mona Jamjoom Saudi Arabia
Shailendra Narayan Singh India
Franca Delmastro Italy
Ramón Brena Mexico
Elena Verdú Spain
Umar Manzoor relative to Mejdl Safran Saudi Arabia Mejdl Safran's profile →
Citations per field
00.5×11.6×
Mejdl Safran · 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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 2020109
3 202335
4 202334
5 202121
6 201521
7 202120
8 201920
9 201518
10 201916
11 201916
12 201716
13 200916
14 201015
15 201215
16 201115
17 201714
18 202314
19 202214
20 202211

About Umar Manzoor

Umar Manzoor is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Mechanical Engineering, having authored 74 papers that have together received 778 indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (11 papers), Peer-to-Peer Network Technologies (8 papers), Hydraulic Fracturing and Reservoir Analysis (7 papers), Hydrocarbon exploration and reservoir analysis (6 papers), Privacy-Preserving Technologies in Data (6 papers), Cryptography and Data Security (4 papers), Seismic Imaging and Inversion Techniques (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Computer Science Applications (144 citations), Health Information Management (57 citations), Artificial Intelligence (303 citations), Computer Networks and Communications (144 citations) and Information Systems (138 citations). Umar Manzoor has collaborated with scholars based in Pakistan, United Kingdom and Saudi Arabia. Frequent co-authors include Bassam Zafar, Ahmed Mueen, Samia Nefti‐Meziani, Muhammad Awais, Nishant Singh, Saif ul Islam, Mohsin Raza, Joel J. P. C. Rodrigues, Adeel Anjum and Saif Ur Rehman Malik. Their work appears in journals such as IEEE Access, Robotics and Autonomous Systems, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Expert Systems with Applications and Computers & Security.

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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