Mohammed Khalilia

1.3k total citations · 1 hit paper
22 papers, 743 citations indexed

About

Mohammed Khalilia is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Mohammed Khalilia has authored 22 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Mohammed Khalilia's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (4 papers). Mohammed Khalilia is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (4 papers). Mohammed Khalilia collaborates with scholars based in United States, Palestinian Territory and Canada. Mohammed Khalilia's co-authors include Mihail Popescu, Sounak Chakraborty, Deepak R. Chittajallu, Jonathan Beezley, Lee Cooper, Sanghoon Lee, David A. Gutman, David Manthey, James C. Bezdek and James M. Keller and has published in prestigious journals such as Cancer Research, Pattern Recognition and Journal of the American Medical Informatics Association.

In The Last Decade

Mohammed Khalilia

21 papers receiving 719 citations

Hit Papers

align trajectories sort by overperformance

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.

Predicting disease risks from highly imbalanced data using random forest

2011 490 citations Mohammed Khalilia, Sounak Chakraborty et al. BMC Medical Informatics and Decision Making profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed Khalilia United States	7	346	150	81	70	60	22	743
Md. Mehedi Hassan Bangladesh	15	235 0.7×	122 0.8×	64 0.8×	85 1.2×	51 0.8×	93	932
Sounak Chakraborty United States	13	322 0.9×	126 0.8×	180 2.2×	45 0.6×	75 1.3×	33	897
David C. Kale United States	11	467 1.3×	179 1.2×	72 0.9×	130 1.9×	103 1.7×	16	943
Brett K. Beaulieu‐Jones United States	16	624 1.8×	170 1.1×	167 2.1×	191 2.7×	147 2.5×	33	1.4k
Nicola Torelli Italy	10	409 1.2×	59 0.4×	94 1.2×	49 0.7×	76 1.3×	35	1.2k
Beau Norgeot United States	9	300 0.9×	91 0.6×	52 0.6×	186 2.7×	57 0.9×	17	762
Giovanna Menardi Italy	8	420 1.2×	59 0.4×	97 1.2×	44 0.6×	63 1.1×	24	1.0k
Haohui Lu Australia	12	272 0.8×	195 1.3×	67 0.8×	69 1.0×	82 1.4×	27	836
Aditya Nori United Kingdom	11	271 0.8×	100 0.7×	40 0.5×	307 4.4×	38 0.6×	20	1.1k
Jiming Xu China	5	418 1.2×	177 1.2×	51 0.6×	416 5.9×	69 1.1×	13	1.3k

Countries citing papers authored by Mohammed Khalilia

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Khalilia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Khalilia

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Khalilia. A scholar is included among the top collaborators of Mohammed Khalilia 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 Mohammed Khalilia. Mohammed Khalilia 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

Jarrar, Mustafa, et al.. (2024). Event-Arguments Extraction Corpus and Modeling using BERT for Arabic. 309–319. 1 indexed citations

Khalilia, Mohammed, et al.. (2024). AraFinNLP 2024: The First Arabic Financial NLP Shared Task. 393–402. 2 indexed citations

Jarrar, Mustafa, et al.. (2024). WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task. 847–857. 2 indexed citations

Khalilia, Mohammed, et al.. (2024). ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task. 361–371. 2 indexed citations

Jarrar, Mustafa, et al.. (2024). SinaTools: Open Source Toolkit for Arabic Natural Language Processing. Procedia Computer Science. 244. 388–396.

Jarrar, Mustafa, et al.. (2023). SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks. 359–369. 6 indexed citations

Jarrar, Mustafa, et al.. (2023). Arabic Fine-Grained Entity Recognition. 310–323. 4 indexed citations

Jarrar, Mustafa, et al.. (2023). ArBanking77: Intent Detection Neural Model and a New Dataset in Modern and Dialectical Arabic. 276–287. 1 indexed citations

Jarrar, Mustafa, et al.. (2023). WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task. 748–758. 5 indexed citations

10.

Bhatia, Parminder, et al.. (2019). End-to-End Joint Entity Extraction and Negation Detection for Clinical Text. Studies in computational intelligence. 139–148. 5 indexed citations

11.

Gutman, David A., Mohammed Khalilia, Sanghoon Lee, et al.. (2017). The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research. Cancer Research. 77(21). e75–e78. 100 indexed citations

12.

Sheets, Lincoln, et al.. (2016). Identifying Patients at Risk of High Healthcare Utilization.. PubMed. 2016. 1129–1138. 5 indexed citations

13.

Popejoy, Lori, Colleen Galambos, Frank Stetzer, et al.. (2016). Comparing Aging in Place to Home Health Care: Impact of Nurse Care Coordination On Utilization and Costs.. PubMed. 33(6). 306–13. 20 indexed citations

14.

Khalilia, Mohammed, et al.. (2015). Clinical Predictive Modeling Development and Deployment through FHIR Web Services.. PubMed. 2015. 717–26. 23 indexed citations

15.

Khalilia, Mohammed, James C. Bezdek, Mihail Popescu, & James M. Keller. (2014). Improvements to the relational fuzzy c-means clustering algorithm. Pattern Recognition. 47(12). 3920–3930. 30 indexed citations

16.

Popejoy, Lori, Mohammed Khalilia, Mihail Popescu, et al.. (2014). Quantifying care coordination using natural language processing and domain-specific ontology. Journal of the American Medical Informatics Association. 22(e1). e93–e103. 33 indexed citations

17.

Khalilia, Mohammed, Mihail Popescu, & James M. Keller. (2014). Patient stratification based on Activity of Daily Living score using Relational Self-Organizing Maps. 112–116. 2 indexed citations

18.

Khalilia, Mohammed & Mihail Popescu. (2012). Fuzzy relational self-organizing maps. 1. 1–6. 1 indexed citations

19.

Khalilia, Mohammed, Sounak Chakraborty, & Mihail Popescu. (2011). Predicting disease risks from highly imbalanced data using random forest. BMC Medical Informatics and Decision Making. 11(1). 51–51. 490 indexed citations breakdown →

20.

Liu, Li, et al.. (2009). Traffic pattern forecasting using time series analysis between spatially adjacent sensor clusters. 3155–3160. 2 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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