Mudassir Shabbir

466 total citations
41 papers, 225 citations indexed

About

Mudassir Shabbir is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Mudassir Shabbir has authored 41 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Mudassir Shabbir's work include Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (10 papers) and Distributed Control Multi-Agent Systems (10 papers). Mudassir Shabbir is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (10 papers) and Distributed Control Multi-Agent Systems (10 papers). Mudassir Shabbir collaborates with scholars based in Pakistan, United States and United Kingdom. Mudassir Shabbir's co-authors include Waseem Abbas, Saeed‐Ul Hassan, Xenofon Koutsoukos, Raheel Nawaz, Faisal Kamiran, Umar Saif, Naif Radi Aljohani, Mohsen Ali, Muhammad Farhan and Timothy D. Bowman and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Computers in Human Behavior.

In The Last Decade

Mudassir Shabbir

32 papers receiving 217 citations

Peers

Mudassir Shabbir
Yanmin Shang China
Jinshuo Liu China
Yunfei Chu China
Mostafa Haghir Chehreghani Iran
Jianmin Han China
Yaqiong Qiao China
Chiman Salavati Iran
Soheila Molaei Iran
Ankan Saha United States
Yanmin Shang China
Mudassir Shabbir
Citations per year, relative to Mudassir Shabbir Mudassir Shabbir (= 1×) peers Yanmin Shang

Countries citing papers authored by Mudassir Shabbir

Since Specialization
Citations

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

Fields of papers citing papers by Mudassir Shabbir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mudassir Shabbir

This figure shows the co-authorship network connecting the top 25 collaborators of Mudassir Shabbir. A scholar is included among the top collaborators of Mudassir Shabbir 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 Mudassir Shabbir. Mudassir Shabbir 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
1.
Raza, Agha Ali, et al.. (2024). Conversations in the wild: Data collection, automatic generation and evaluation. Computer Speech & Language. 89. 101699–101699.
2.
Shabbir, Mudassir, et al.. (2024). Control-Based Graph Embeddings with Data Augmentation for Contrastive Learning. 27–32. 2 indexed citations
3.
4.
Shabbir, Mudassir, et al.. (2023). Circuit design completion using graph neural networks. Neural Computing and Applications. 35(16). 12145–12157. 5 indexed citations
5.
Shabbir, Mudassir, et al.. (2023). On augmenting topological graph representations for attributed graphs. Applied Soft Computing. 136. 110104–110104. 4 indexed citations
6.
Shabbir, Mudassir, et al.. (2023). Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. 2257–2264. 2 indexed citations
7.
Ali, Sarwan, et al.. (2023). Computing Graph Descriptors on Edge Streams. ACM Transactions on Knowledge Discovery from Data. 17(8). 1–25.
8.
Sandborn, Michael, Carlos Olea, Mudassir Shabbir, et al.. (2022). What a drag! Streamlining the UAV design process with design grammars and drag surrogates. 30. 279–283.
9.
Abbas, Waseem, et al.. (2022). Leader Selection for Strong Structural Controllability in Networks using Zero Forcing Sets. 2022 American Control Conference (ACC). 1444–1449. 5 indexed citations
10.
Shabbir, Mudassir, et al.. (2022). Computation of the Distance-Based Bound on Strong Structural Controllability in Networks. IEEE Transactions on Automatic Control. 68(3). 1768–1775. 4 indexed citations
11.
12.
Shabbir, Mudassir, et al.. (2021). Seymour’s Second Neighborhood Conjecture for 6-antitransitive digraphs. Discrete Applied Mathematics. 292. 59–63. 1 indexed citations
13.
Hassan, Saeed‐Ul, et al.. (2021). DGSD: Distributed graph representation via graph statistical properties. Future Generation Computer Systems. 119. 166–175. 10 indexed citations
14.
Hassan, Saeed‐Ul, et al.. (2021). Optimal school site selection in Urban areas using deep neural networks. Journal of Ambient Intelligence and Humanized Computing. 13(1). 313–327. 13 indexed citations
15.
Hassan, Saeed‐Ul, et al.. (2020). NetKI: A kirchhoff index based statistical graph embedding in nearly linear time. Neurocomputing. 433. 108–118. 10 indexed citations
16.
Shabbir, Mudassir, et al.. (2020). Interpretable multi-scale graph descriptors via structural compression. Information Sciences. 533. 169–180. 11 indexed citations
17.
Shabbir, Mudassir, et al.. (2019). On the Computation of the Distance-based Lower Bound on Strong Structural Controllability in Networks. 5468–5473. 5 indexed citations
18.
Farhan, Muhammad, et al.. (2017). Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification. Neural Information Processing Systems. 30. 6935–6945. 12 indexed citations
19.
Shabbir, Mudassir. (2014). Some results in computational and combinatorial geometry. Rutgers University Community Repository (Rutgers University). 1 indexed citations
20.
Nawaz, Zubair, Mudassir Shabbir, Zaid Al-Ars, & Koen Bertels. (2008). Acceleration of Smith-Waterman using Recursive Variable Expansion. 183. 915–922. 6 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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