Muhannad Alomari

403 total citations
13 papers, 120 citations indexed

About

Muhannad Alomari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Muhannad Alomari has authored 13 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Strategy and Management. Recurrent topics in Muhannad Alomari's work include Multimodal Machine Learning Applications (7 papers), Natural Language Processing Techniques (5 papers) and Human Pose and Action Recognition (4 papers). Muhannad Alomari is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Natural Language Processing Techniques (5 papers) and Human Pose and Action Recognition (4 papers). Muhannad Alomari collaborates with scholars based in United Kingdom, Jordan and Sweden. Muhannad Alomari's co-authors include David Hogg, Anthony G. Cohn, Paul Duckworth, Zaer S. Abo‐Hammour, Yiannis Gatsoulis, Marc Hanheide, AG Cohn, Vinod Kumar Chauhan, Christian Dondrup and Nick Hawes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Computers & Industrial Engineering.

In The Last Decade

Muhannad Alomari

12 papers receiving 108 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhannad Alomari United Kingdom 7 68 66 21 11 7 13 120
Michael W. Floyd United States 7 19 0.3× 95 1.4× 20 1.0× 3 0.3× 2 0.3× 20 126
Jishnu Mukhoti United Kingdom 4 33 0.5× 60 0.9× 10 0.5× 4 0.4× 7 96
Nicholay Topin United States 5 24 0.4× 88 1.3× 16 0.8× 3 0.3× 9 143
Hugo Latapie United States 6 78 1.1× 27 0.4× 6 0.3× 6 0.5× 1 0.1× 32 136
Ayush Shrivastava United States 7 84 1.2× 97 1.5× 9 0.4× 2 0.2× 12 158
Ximeng Sun United States 7 84 1.2× 55 0.8× 5 0.2× 3 0.3× 11 142
Ramon Fraga Pereira Brazil 8 25 0.4× 176 2.7× 10 0.5× 6 0.5× 30 198
Romain Beaumont United States 2 136 2.0× 90 1.4× 8 0.4× 2 0.2× 2 214
K. Naveen Kumar India 5 21 0.3× 55 0.8× 11 0.5× 3 0.3× 1 0.1× 16 143
Jiaxi Wu China 6 95 1.4× 87 1.3× 15 0.7× 13 157

Countries citing papers authored by Muhannad Alomari

Since Specialization
Citations

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

Fields of papers citing papers by Muhannad Alomari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhannad Alomari

This figure shows the co-authorship network connecting the top 25 collaborators of Muhannad Alomari. A scholar is included among the top collaborators of Muhannad Alomari 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 Muhannad Alomari. Muhannad Alomari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Alomari, Muhannad, et al.. (2025). Heart disease detection using machine learning. Bulletin of Electrical Engineering and Informatics. 14(2). 1151–1159.
2.
Chauhan, Vinod Kumar, et al.. (2023). Exploitation of material consolidation trade-offs in multi-tier complex supply networks. SHILAP Revista de lepidopterología. 4. 100050–100050. 1 indexed citations
3.
Chauhan, Vinod Kumar, et al.. (2022). Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. Computers & Industrial Engineering. 176. 108928–108928. 10 indexed citations
4.
Alomari, Muhannad, et al.. (2021). Online perceptual learning and natural language acquisition for autonomous robots. Artificial Intelligence. 303. 103637–103637. 8 indexed citations
5.
Alomari, Muhannad, et al.. (2021). Topological Data Analysis Highlights Novel Geographical Signatures of the Human Gut Microbiome. Frontiers in Artificial Intelligence. 4. 680564–680564. 3 indexed citations
6.
Alomari, Muhannad, Paul Duckworth, David Hogg, & Anthony G. Cohn. (2017). Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations
7.
Alomari, Muhannad, et al.. (2017). Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands. 35–43. 5 indexed citations
8.
Alomari, Muhannad, Paul Duckworth, David Hogg, & Anthony G. Cohn. (2017). Natural Language Acquisition and Grounding for Embodied Robotic Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 23 indexed citations
9.
Alomari, Muhannad, et al.. (2017). Grounding of Human Environments and Activities for Autonomous Robots. 1395–1402. 8 indexed citations
10.
Duckworth, Paul, Muhannad Alomari, James Charles, David Hogg, & Anthony G. Cohn. (2017). Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 8 indexed citations
11.
Alomari, Muhannad, Eris Chinellato, Yiannis Gatsoulis, David Hogg, & Anthony G. Cohn. (2016). Unsupervised grounding of textual descriptions of object features and actions in video. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 505–508. 4 indexed citations
12.
Gatsoulis, Yiannis, Muhannad Alomari, Christian Dondrup, et al.. (2016). QSRlib: a software library for online acquisition of qualitative spatial relations from video. Lincoln Repository (University of Lincoln). 23 indexed citations
13.
Abo‐Hammour, Zaer S., et al.. (2011). Continuous Genetic Algorithms for Collision-Free Cartesian Path Planning of Robot Manipulators. SHILAP Revista de lepidopterología. 8(6). 25 indexed citations

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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2026