Sohail Asghar

1.9k citations
128 papers · 1.2k indexed · h-index 17

Sohail Asghar

114 papers receiving 1.0k citations

Peers

Sohail Asghar
Comparison fields: 5 of 136
  • Artificial Intelligence 577
  • Information Systems 351
  • Signal Processing 124
  • Management Science and Operations Research 115
  • Computer Vision and Pattern Recognition 150
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Citations per year

Countries citing papers authored by Sohail Asghar

Since Specialization
Citations

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

Fields of papers citing papers by Sohail Asghar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20240
3 20236
4 20230
5 202295
6 20223
7 20222
8 20216
9
A Fuzzy Based Scheme for Sanitizing Sensitive Sequential Patterns
20153
10 20148
11
An Information Theoretic Scoring Function in Belief Network
20142
12 20131
13
Hiding sensitive association rules using central tendency
20109
14
A hierarchical cluster based preprocessing methodology for Web Usage Mining
20108
15
Hiding sensitive XML Association Rules via Bayesian network
20101
16
Modeling TSP with Particle Swarm Optimization and Genetic Algorithm
20103
17
A Novel Architecture for Hiding Sensitive Association Rules.
20103
18
Evaluation of Structured and Un-Structured Document Classification Techniques.
20091
19
A dynamic integrated model for disaster management decision support systems
200510
20
Enhancing OLAP functionality using self-organizing neural networks
20047

About Sohail Asghar

Sohail Asghar is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 128 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (23 papers), Text and Document Classification Technologies (13 papers), Data Quality and Management (13 papers), Software Engineering Techniques and Practices (13 papers), Topic Modeling (10 papers), Imbalanced Data Classification Techniques (10 papers), Service-Oriented Architecture and Web Services (10 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (577 citations), Information Systems (351 citations) and Signal Processing (124 citations). Sohail Asghar has collaborated with scholars based in Pakistan, Macao and China. Frequent co-authors include Saira Gillani, Nouman Ahmad, Simon Fong, Tariq Ali, Nayyer Masood, Saif Ur Rehman, Damminda Alahakoon, Awais Manzoor, Khalid Iqbal and Leonid Churilov. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Express.

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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