Houssam Nassif

647 total citations
22 papers, 289 citations indexed

About

Houssam Nassif is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Houssam Nassif has authored 22 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Houssam Nassif's work include Biomedical Text Mining and Ontologies (8 papers), AI in cancer detection (5 papers) and Computational Drug Discovery Methods (3 papers). Houssam Nassif is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), AI in cancer detection (5 papers) and Computational Drug Discovery Methods (3 papers). Houssam Nassif collaborates with scholars based in United States, Portugal and Lebanon. Houssam Nassif's co-authors include Elizabeth S. Burnside, David Page, Jude Shavlik, Hassan Al‐Ali, Mehmet Ayvaci, Jafi A. Lipson, Bethany Percha, Daniel L. Rubin, Sawsan Khuri and Ryan W. Woods and has published in prestigious journals such as BMC Bioinformatics, Proteins Structure Function and Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Houssam Nassif

20 papers receiving 278 citations

Peers

Countries citing papers authored by Houssam Nassif

Since Specialization

Citations

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

Fields of papers citing papers by Houssam Nassif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houssam Nassif

This figure shows the co-authorship network connecting the top 25 collaborators of Houssam Nassif. A scholar is included among the top collaborators of Houssam Nassif 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 Houssam Nassif. Houssam Nassif 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	Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice 2024 ·(unknown), Houssam Nassif, (unknown), (unknown), Lalit Jain	1
2	Neural Insights for Digital Marketing Content Design 2023 ·(unknown), (unknown), Houssam Nassif, (unknown), Ricardo Henao, (unknown)	6
3	Enhancing Transistor Sizing in Analog IC Design using a Circuit-Focused Semi-Supervised Learning 2023 ·(unknown), George E. Sakr, Houssam Nassif	0
4	Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits 2021 ·International Conference on Machine Learning ·Kwang-Sung Jun, Lalit Jain, Houssam Nassif, (unknown)	2
5	Identifying Reward Functions using Anchor Actions. 2020 ·arXiv (Cornell University) ·(unknown), Houssam Nassif, (unknown), (unknown), Ronnie Sircar	1
6	Seeker 2019 ·(unknown), (unknown), (unknown), Benjamin Snyder, Houssam Nassif	3
7	Rational Polypharmacology: Systematically Identifying and Engaging Multiple Drug Targets To Promote Axon Growth 2015 ·ACS Chemical Biology ·Hassan Al‐Ali, Do-Hun Lee, Matt C. Danzi, Houssam Nassif, Prson Gautam, Krister Wennerberg, (unknown), David H. Drewry, Jae K. Lee, Vance Lemmon, John L. Bixby	53
8	Support Vector Machines for Differential Prediction 2014 ·Lecture notes in computer science ·(unknown), Vı́tor Santos Costa, Houssam Nassif, Elizabeth S. Burnside, David Page, Jude Shavlik	15
9	Predicting invasive breast cancer versus DCIS in different age groups 2014 ·BMC Cancer ·Mehmet Ayvaci, Oğuzhan Alagöz, Jagpreet Chhatwal, Alejandro Muñoz del Río, Edward A. Sickles, Houssam Nassif, Karla Kerlikowske, Elizabeth S. Burnside	11
10	Using machine learning to identify benign cases with non-definitive biopsy 2013 ·PubMed ·(unknown), Inês Dutra, Houssam Nassif, Yirong Wu, Molly Klein, Heather B. Neuman, Jude Shavlik, Elizabeth S. Burnside	0
11	Genetic variants improve breast cancer risk prediction on mammograms. 2013 ·PubMed ·Jie Liu, David Page, Houssam Nassif, Jude Shavlik, Peggy Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside	12
12	Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling 2013 ·Lecture notes in computer science ·Houssam Nassif, (unknown), Elizabeth S. Burnside, David Page, Jude Shavlik, Vı́tor Santos Costa	7
13	Uplift Modeling with ROC: An SRL Case Study. 2013 ·Houssam Nassif, (unknown), Elizabeth S. Burnside, Jude Shavlik	3
14	Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study 2012 ·BMC Bioinformatics ·José Sántos, Houssam Nassif, David Page, Stephen Muggleton, Michael J.E. Sternberg	11
15	Automatic classification of mammography reports by BI-RADS breast tissue composition class 2012 ·Journal of the American Medical Informatics Association ·Bethany Percha, Houssam Nassif, Jafi A. Lipson, Elizabeth S. Burnside, Daniel L. Rubin	46
16	Extracting BI-RADS features from Portuguese clinical texts 2012 ·PubMed ·Houssam Nassif, (unknown), Inês Moreira, Ricardo Cruz‐Correia, (unknown), David Page, Elizabeth S. Burnside, Inês Dutra	11
17	Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women. 2012 ·PubMed ·Houssam Nassif, Yirong Wu, David Page, Elizabeth S. Burnside	7
18	An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge 2010 ·Lecture notes in computer science ·Houssam Nassif, Hassan Al‐Ali, Sawsan Khuri, (unknown), David Page	7
19	Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming 2010 ·Houssam Nassif, David Page, Mehmet Ayvaci, Jude Shavlik, Elizabeth S. Burnside	12
20	Prediction of protein‐glucose binding sites using support vector machines 2009 ·Proteins Structure Function and Bioinformatics ·Houssam Nassif, Hassan Al‐Ali, Sawsan Khuri, (unknown)	26

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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