Huzefa Rangwala

6.0k total citations · 2 hit papers
137 papers, 3.6k citations indexed

About

Huzefa Rangwala is a scholar working on Artificial Intelligence, Molecular Biology and Computer Science Applications. According to data from OpenAlex, Huzefa Rangwala has authored 137 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 50 papers in Molecular Biology and 21 papers in Computer Science Applications. Recurrent topics in Huzefa Rangwala's work include Genomics and Phylogenetic Studies (25 papers), Machine Learning in Bioinformatics (24 papers) and Online Learning and Analytics (19 papers). Huzefa Rangwala is often cited by papers focused on Genomics and Phylogenetic Studies (25 papers), Machine Learning in Bioinformatics (24 papers) and Online Learning and Analytics (19 papers). Huzefa Rangwala collaborates with scholars based in United States, China and Australia. Huzefa Rangwala's co-authors include Yue Ning, George Karypis, Yujing Chen, Aditya Johri, Patrick M. Gillevet, Masoumeh Sikaroodi, Ali Keshavarzian, Jaime Lester, Ammar S. Naqvi and Ece Mutlu and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Hepatology.

In The Last Decade

Huzefa Rangwala

131 papers receiving 3.5k 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.

Colonic microbiome is altered in alcoholism

2012 605 citations Ece Mutlu, Patrick M. Gillevet et al. profile →
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data

2020 272 citations Yujing Chen, Yue Ning et al. profile →

Peers

Countries citing papers authored by Huzefa Rangwala

Since Specialization

Citations

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

Fields of papers citing papers by Huzefa Rangwala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huzefa Rangwala

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering 2025 ·(unknown), (unknown), Vassilis N. Ioannidis, (unknown), Qi Zhu, Ian Robinson, (unknown), Huzefa Rangwala, George Karypis	0
2	M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions 2025 ·Aniket Datar, (unknown), (unknown), (unknown), Huzefa Rangwala, (unknown), (unknown), (unknown), Maggie Wigness, Philip R. Osteen, Jinwei Ye, Xuesu Xiao	0
3	GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications 2024 ·Da Zheng, (unknown), Qi Zhu, (unknown), (unknown), (unknown), (unknown), Zichen Wang, (unknown), Israt Nisa, (unknown), (unknown), Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis	3
4	EGGNet, a Generalizable Geometric Deep Learning Framework for Protein Complex Pose Scoring 2024 ·ACS Omega ·Zichen Wang, Ryan Brand, Jared Adolf‐Bryfogle, Jasleen Grewal, Yanjun Qi, Steven A. Combs, (unknown), Rebecca F. Alford, Huzefa Rangwala, Peter Clark	2
5	A Coordinate-Regression-Based Deep Learning Model for Catheter Detection during Structural Heart Interventions 2023 ·Applied Sciences ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Huzefa Rangwala, (unknown), Benjamin C. Lee, Alan Wang, Mert R. Sabuncu, S. Chiu Wong, Bobak Mosadegh	2
6	Synthetic Smartwatch IMU Data Generation from In-the-wild ASL Videos 2023 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·(unknown), Parth H. Pathak, Huzefa Rangwala, Jana Košecká	15
7	Learning Smooth and Fair Representations 2021 ·International Conference on Artificial Intelligence and Statistics ·(unknown), Huzefa Rangwala	1
8	Towards Fair Educational Data Mining: A Case Study on Detecting At-Risk Students. 2020 ·Educational Data Mining ·(unknown), Huzefa Rangwala	25
9	Using Online Textbook and In-Class Poll Data to Predict In-Class Performance. 2020 ·Educational Data Mining ·(unknown), (unknown), Mark Snyder, Huzefa Rangwala	2
10	Asynchronous Online Federated Learning for Edge Devices. 2019 ·arXiv (Cornell University) ·Yujing Chen, Yue Ning, Huzefa Rangwala	34
11	Grade Prediction Based on Cumulative Knowledge and Co-taken Courses. 2019 ·Educational Data Mining ·Zhiyun Ren, Xia Ning, Andrew Lan, Huzefa Rangwala	13
12	Enriching Course-Specific Regression Models with Content Features for Grade Prediction 2017 ·(unknown), (unknown), George Karypis, Huzefa Rangwala	13
13	Special Issue: Learning Analytics in Higher Education. 2017 ·Jaime Lester, Carrie Klein, Huzefa Rangwala, Aditya Johri	2
14	Grade Prediction with Temporal Course-wise Influence. 2017 ·Educational Data Mining ·Zhiyun Ren, Xia Ning, Huzefa Rangwala	1
15	Predicting Performance on MOOC Assessments Using Multi-Regression Models. 2016 ·arXiv (Cornell University) ·Zhiyun Ren, Huzefa Rangwala, Aditya Johri	6
16	Classification methods for the analysis of LH-PCR data associated with inflammatory bowel disease patients 2015 ·International Journal of Bioinformatics Research and Applications ·(unknown), Huzefa Rangwala, Masoumeh Sikaroodi, Ali Keshavarzian, Ece Mutlu, Patrick M. Gillevet	6
17	Protein function prediction by integrating multiple kernels 2013 ·Own your potential (DEAKIN) ·Guoxian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang	14
18	Proceedings of the 11th International Workshop on Data Mining in Bioinformatics 2012 ·Knowledge Discovery and Data Mining ·Jake Y. Chen, Mohammed J. Zaki, Gaurav Pandey, Huzefa Rangwala, George Karypis	2
19	A hidden Markov model variant for sequence classification 2011 ·International Joint Conference on Artificial Intelligence ·(unknown), Huzefa Rangwala	14
20	Building multiclass classifiers for remote homology detection and fold recognition 2006 ·BMC Bioinformatics ·Huzefa Rangwala, George Karypis	17

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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