Maqsood Mahmud

43 papers receiving 536 citations

Peers

Maqsood Mahmud
Comparison fields: 5 of 90
  • Artificial Intelligence 219
  • Computer Vision and Pattern Recognition 157
  • Management Science and Operations Research 135
  • Electrical and Electronic Engineering 77
  • Information Systems 72
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Countries citing papers authored by Maqsood Mahmud

Since Specialization
Citations

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

Fields of papers citing papers by Maqsood Mahmud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maqsood Mahmud

This figure shows the co-authorship network connecting the top 25 collaborators of Maqsood Mahmud. A scholar is included among the top collaborators of Maqsood Mahmud 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 Maqsood Mahmud. Maqsood Mahmud 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 1
2 7
3 0
4 19
5 2
6
Impact Analysis of Digital Transformations on Entrepreneurial Ecosystem in the Eastern Province of Saudi Arabia
6
7 4
8
Techno Entrepreneurship Adoption: An Intention Based Assessment Study of Start-Ups in the Kingdom of Saudi Arabia
3
9 49
10 22
11 26
12 57
13
Adapting Interaction Environments to Diverse Users through Online Action Set Selection
6
14 4
15 1
16
Intrinsic Authentication of Multimedia Objects Using Biometric Data Manipulation
3
17
Constructing States for Reinforcement Learning
10
18 13
19
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
25
20
Cumulative Learning: Towards Designing Cognitive Architectures for Artificial Agents that Have a Lifetime
1

About Maqsood Mahmud

Maqsood Mahmud is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems and Management, having authored 48 papers that have together received 576 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Management Science and Operations Research (135 citations), Computer Vision and Pattern Recognition (157 citations) and Artificial Intelligence (219 citations). Maqsood Mahmud has collaborated with scholars based in Saudi Arabia, United States and Bahrain. Frequent co-authors include Rasul Enayatifar, Atta Rahman, Hossein Javedani Sadaei, Frederico Gadelha Guimarães, Jae-Young Choi, Malrey Lee, Kiran Sultan, Muhammad Hisyam Lee, Hossein Nematzadeh and Abdullah Alqahtani. Their work appears in journals such as Sustainability, Neurocomputing and Applied Soft Computing.

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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