Umar Asif

40 papers receiving 1.3k citations

Umar Asif's Hit Papers

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms 2020 · 306 citations
3060+4+9Years since publication100200300

Peers

Umar Asif
Comparison fields: 5 of 114
  • Health Informatics 83
  • Human-Computer Interaction 154
  • Control and Systems Engineering 439
  • Computer Vision and Pattern Recognition 353
  • Artificial Intelligence 327
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Countries citing papers authored by Umar Asif

Since Specialization
Citations

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

Fields of papers citing papers by Umar Asif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Umar Asif, 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 Asif Line = papers co-authored together Umar Asif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On the Improvement of Multi-Legged Locomotion over Difficult Terrains Using a Balance Stabilization Method
Hit paper breakdown →
2012342
2
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Hit paper breakdown →
2020306
3 2018120
4 2017119
5 2021110
6 201749
7 201931
8 201829
9
Privacy Preserving Human Fall Detection using Video Data
201926
10 201523
11 201221
12 202116
13
EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks.
201814
14 201113
15 201212
16 201512
17 201311
18 201111
19 202010
20
Machine Learning for Seizure Type Classification: Setting the benchmark.
201910

About Umar Asif

Umar Asif is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Aerospace Engineering and Cognitive Neuroscience, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (12 papers), Robot Manipulation and Learning (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Biomimetic flight and propulsion mechanisms (5 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Health Informatics (83 citations), Human-Computer Interaction (154 citations), Control and Systems Engineering (439 citations), Computer Vision and Pattern Recognition (353 citations) and Artificial Intelligence (327 citations). Umar Asif has collaborated with scholars based in Australia, United States and Pakistan. Frequent co-authors include Javaid Iqbal, Mohammed Bennamoun, Ferdous Ahmed Sohel, Stefan Harrer, Jianbin Tang, Subhrajit Roy, Shivanthan A.C. Yohanandan, Tobias Loddenkemper, Rima El Atrache and Christian Meisel. Their work appears in journals such as JAMA Network Open, Epilepsia, IEEE Transactions on Robotics, Autonomous Robots and Journal of Control Science and Engineering.

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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