Qurban A. Memon

573 citations
65 papers · 326 indexed · h-index 9
Topics
Gaze Tracking and Assistive Technology (6 papers)Advanced Neural Network Applications (6 papers)Video Surveillance and Tracking Methods (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access

In The Last Decade

Qurban A. Memon

52 papers receiving 287 citations

Peers

Qurban A. Memon
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 118
  • Artificial Intelligence 72
  • Electrical and Electronic Engineering 38
  • Radiology, Nuclear Medicine and Imaging 36
  • Aerospace Engineering 36
Replace Seong‐heum Kim with:
Seong‐heum Kim South Korea
Miguel García-Silvente Spain
Luca Cosmo Italy
Nicola Falcionelli Italy
Rosli Besar Malaysia
Byeong-Gwon Kang South Korea
Ruiyang Wang China
Wei Huangfu China
Qurban A. Memon relative to Seong‐heum Kim South Korea Seong‐heum Kim's profile →
Citations per field
00.5×11×
Seong‐heum Kim · 1×
Citations per year

Countries citing papers authored by Qurban A. Memon

Since Specialization
Citations

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

Fields of papers citing papers by Qurban A. Memon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qurban A. Memon

This figure shows the co-authorship network connecting the top 25 collaborators of Qurban A. Memon. A scholar is included among the top collaborators of Qurban A. Memon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qurban A. Memon. Qurban A. Memon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 17
4 0
5 5
6 2
7 27
8 2
9 1
10 1
11 8
12 5
13 1
14 9
15 4
16 7
17
Distributed Networks : Intelligence, Security, and Applications
4
18
Semantic Web Approach to Academic Program Assessment
3
19 6
20
OBJECT-DATABASE APPROACH FOR A HYPERVIDEO PLATFORM
1

About Qurban A. Memon

Qurban A. Memon is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 65 papers that have together received 326 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (6 papers), Advanced Neural Network Applications (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (118 citations), Human-Computer Interaction (18 citations) and Media Technology (27 citations). Qurban A. Memon has collaborated with scholars based in United Arab Emirates, Pakistan and United States. Frequent co-authors include Mohammad Shakeel Laghari, Shakeel Khoja, Mahmoud Al Ahmad, Michael Pecht, Adnan Harb, Takis Kasparis, Zahid Ali, Mohammad Mehedy Masud, Habibur Rehman and Michael Georgiopoulos. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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