Abdul Sattar
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
-
- Logic, Reasoning, and Knowledge 35
- Semantic Web and Ontologies 24
-
- Constraint Satisfaction and Optimization 37
- Advanced Database Systems and Queries 22
- Co-authors
- Abdollah Dehzangi (21 shared papers)Alok Sharma (18 shared papers)Kuldip K. Paliwal (10 shared papers)James Lyons (10 shared papers)Rhys Heffernan (7 shared papers)Kaile Su (21 shared papers)Yaoqi Zhou (6 shared papers)M. A. Hakim Newton (44 shared papers)
- Journals
- Scientific Reports (8 papers)BMC Bioinformatics (6 papers)BMC Genomics (5 papers)Computers & Operations Research (5 papers)Artificial Intelligence (3 papers)
- Partner nations
- AustraliaUnited StatesPakistan
In The Last Decade
Abdul Sattar
261 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 186
- Computational Theory and Mathematics 642
- Molecular Biology 1.8k
- Rehabilitation 154
- Computer Networks and Communications 543
- Industrial and Manufacturing Engineering 211
Countries citing papers authored by Abdul Sattar
This map shows the geographic impact of Abdul Sattar'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 Abdul Sattar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Sattar more than expected).
Fields of papers citing papers by Abdul Sattar
This network shows the impact of papers produced by Abdul Sattar. 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 Abdul Sattar. The network helps show where Abdul Sattar may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdul Sattar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 289 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 272 | |
| 2 | 2014 | 222 | |
| 3 | 2009 | 216 | |
| 4 | 2020 | 151 | |
| 5 | 2016 | 132 | |
| 6 | 2011 | 125 | |
| 7 | 2014 | 120 | |
| 8 | 2016 | 102 | |
| 9 | 2013 | 93 | |
| 10 | 2008 | 90 | |
| 11 | 2023 | 86 | |
| 12 | 2015 | 77 | |
| 13 | 2021 | 76 | |
| 14 | 2017 | 63 | |
| 15 | 2014 | 63 | |
| 16 | 2018 | 58 | |
| 17 | 2008 | 54 | |
| 18 | 2020 | 54 | |
| 19 | 2021 | 53 | |
| 20 | 2018 | 53 |
About Abdul Sattar
Abdul Sattar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Computational Theory and Mathematics and Signal Processing, having authored 289 papers that have together received 4.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (46 papers), Protein Structure and Dynamics (45 papers), Constraint Satisfaction and Optimization (37 papers), Logic, Reasoning, and Knowledge (35 papers), Data Management and Algorithms (25 papers), Semantic Web and Ontologies (24 papers), Advanced Database Systems and Queries (22 papers) and RNA and protein synthesis mechanisms (16 papers). The work is most often cited by research in Computational Theory and Mathematics (642 citations), Molecular Biology (1.8k citations), Rehabilitation (154 citations), Computer Networks and Communications (543 citations) and Industrial and Manufacturing Engineering (211 citations). Abdul Sattar has collaborated with scholars based in Australia, United States and Pakistan. Frequent co-authors include Abdollah Dehzangi, Alok Sharma, Kuldip K. Paliwal, James Lyons, Rhys Heffernan, Kaile Su, Yaoqi Zhou, M. A. Hakim Newton, Yuedong Yang and Bela Stantić. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, BMC Genomics, Computers & Operations Research and Artificial Intelligence.
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.