Muhammad Imran

6.8k total citations · 2 hit papers
88 papers, 3.8k citations indexed

About

Muhammad Imran is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Muhammad Imran has authored 88 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Communication, 44 papers in Sociology and Political Science and 42 papers in Artificial Intelligence. Recurrent topics in Muhammad Imran's work include Public Relations and Crisis Communication (53 papers), Disaster Management and Resilience (30 papers) and Misinformation and Its Impacts (21 papers). Muhammad Imran is often cited by papers focused on Public Relations and Crisis Communication (53 papers), Disaster Management and Resilience (30 papers) and Misinformation and Its Impacts (21 papers). Muhammad Imran collaborates with scholars based in Qatar, United States and Italy. Muhammad Imran's co-authors include Carlos Castillo, Ferda Ofli, Firoj Alam, Fernando Díaz, Sarah Vieweg, Patrick Meier, Prasenjit Mitra, Shady Elbassuoni, Umair Qazi and Ji Lucas and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Muhammad Imran

83 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Processing Social Media Messages in Mass Emergency

2015 478 citations Muhammad Imran, Carlos Castillo et al. profile →
AIDR

2014 309 citations Muhammad Imran, Carlos Castillo et al. profile →

Peers

Countries citing papers authored by Muhammad Imran

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Imran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Imran

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	MAD-ANET: Malware Detection Using Attention-Based Deep Neural Networks 2025 ·Computer Modeling in Engineering & Sciences ·(unknown), Emad Ul Haq Qazi, Tanveer Zia, (unknown), Muhammad Imran, Iftikhar Ahmad	2
2	Human spindle-shaped urine-derived stem cell exosomes alleviate severe fatty liver ischemia–reperfusion injury by inhibiting ferroptosis via GPX4 2025 ·Stem Cell Research & Therapy ·(unknown), (unknown), Shuzhen Shi, (unknown), Muhammad Imran, Qingguo Xu, Xinwei Li, Ziyin Zhao, Huan Liu, Gui Fu, (unknown), (unknown), Feng Wang, (unknown)	4
3	Bias-aware face mask detection dataset 2024 ·Multimedia Tools and Applications ·(unknown), Ferda Ofli, Muhammad Imran, Hazım Kemal Ekenel	1
4	Single cell RNA-sequencing delineates CD8⁺ tissue resident memory T cells maintaining rejection in liver transplantation 2024 ·Theranostics ·Xinqiang Li, Shipeng Li, (unknown), Xin Zhou, Rui Wang, Muhammad Imran, (unknown), (unknown), Dan Liu, (unknown), Dahong Teng, (unknown), Kai Zhao, Qi Ling, Jinzhen Cai	8
5	Towards fine-grained object-level damage assessment during disasters 2023 ·Frontiers in Earth Science ·(unknown), (unknown), Steve Peterson, (unknown), (unknown), Muhammad Imran, Ferda Ofli	2
6	Landslide detection in real-time social media image streams 2023 ·Neural Computing and Applications ·Ferda Ofli, Muhammad Imran, Umair Qazi, (unknown), Catherine Pennington, Vanessa Banks, Rémy Bossu	5
7	Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques 2020 ·Journal on Computing and Cultural Heritage ·(unknown), Ferda Ofli, Muhammad Imran, Carlos Castillo	36
8	Social media in conflicts and crises 2019 ·Behaviour and Information Technology ·Christian Reuter, Stefan Stieglitz, Muhammad Imran	24
9	CrisisDPS: Crisis Data Processing Services. 2019 ·ISCRAM ·Firoj Alam, Ferda Ofli, Muhammad Imran	11
10	Editorial of the Special Issue on Social Media in Crisis Management 2018 ·International Journal of Human-Computer Interaction ·Christian Reuter, Amanda Hughes, Starr Roxanne Hiltz, Muhammad Imran, Linda Plotnick	0
11	CrisisMMD: Multimodal Twitter Datasets from Natural Disasters 2018 ·National Conference on Artificial Intelligence ·Firoj Alam, Ferda Ofli, Muhammad Imran	22
12	Classifying and Summarizing Information from Microblogs During Epidemics 2018 ·Information Systems Frontiers ·Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran	33
13	Humanitarian health computing using artificial intelligence and social media: A narrative literature review 2018 ·International Journal of Medical Informatics ·Luis Fernández-Luque, Muhammad Imran	62
14	Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages 2016 ·RECERCAT (Consorci de Serveis Universitaris de Catalunya) ·Muhammad Imran, Prasenjit Mitra, Carlos Castillo	71
15	Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response 2016 ·Big Data ·Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, (unknown), (unknown), (unknown), Friedrich Reinhard, (unknown), Stéphane Joost	105
16	Coordinating human and machine intelligence to classify microblog communications in crises 2014 ·International Conference on Information Systems for Crisis Response and Management ·Muhammad Imran, Carlos Castillo, (unknown), Patrick Meier, Jakob Rogstadius	45
17	Extracting Information Nuggets from Disaster- Related Messages in Social Media 2013 ·International Conference on Information Systems for Crisis Response and Management ·Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Díaz, Patrick Meier	256
18	Tweet4act: Using Incident-Specific Profiles for Classifying Crisis-Related Messages 2013 ·International Conference on Information Systems for Crisis Response and Management ·(unknown), Muhammad Imran, Muhammad Rizwan Asghar, Sihem Amer-Yahia, Carlos Castillo	54
19	Developing Mashup Tools for End-Users: On the Importance of the Application Domain 2012 ·INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING ·Fabio Casati, Florian Daniel, Antonella De Angeli, Muhammad Imran, (unknown), (unknown), Maurizio Marchese	12
20	Simple ligation versus ligation and burial of stump in appendicectomy in patients with clinical diagnosis of acute appendicitis. 2009 ·Journal of Postgraduate Medical Institute ·(unknown), (unknown), (unknown), (unknown), Muhammad Imran	4

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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