Faraz Hussain

482 total citations
25 papers, 107 citations indexed

About

Faraz Hussain is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Faraz Hussain has authored 25 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in Faraz Hussain's work include Gene Regulatory Network Analysis (6 papers), Formal Methods in Verification (5 papers) and Simulation Techniques and Applications (3 papers). Faraz Hussain is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Formal Methods in Verification (5 papers) and Simulation Techniques and Applications (3 papers). Faraz Hussain collaborates with scholars based in United States, Pakistan and Canada. Faraz Hussain's co-authors include Zaeem A. Siddiqi, Sumit Kumar Jha, Derrick Blackmore, Mohamed A. Eldeeb, Christopher J. Langmead, Gary T. Leavens, Susmit Jha, Laura Pullum, Arvind Ramanathan and Md. Wasim Khan and has published in prestigious journals such as Scientific Reports, ACM Computing Surveys and BMC Bioinformatics.

In The Last Decade

Faraz Hussain

25 papers receiving 102 citations

Peers

Faraz Hussain

NEURO

CTM

Christian Jacob Germany

Renfei Ma United Kingdom

Hongyu Kang China

Arnold Smeulders Netherlands

Ron Henkel Germany

Moritoshi Yasunaga Japan

Yuichi Sudo Japan

Alexander I. Cowen-Rivers United Kingdom

Elena Sizikova United States

Christian Jacob Germany

Faraz Hussain

9 ×0.3

NEURO

13 ×0.6

55 ×2.8

18 ×1.2

CTM

2 ×0.2

Citations per year, relative to Faraz Hussain Faraz Hussain (= 1×) peers Christian Jacob

Countries citing papers authored by Faraz Hussain

Since Specialization

Citations

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

Fields of papers citing papers by Faraz Hussain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faraz Hussain

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

Schuckers, Stephanie, et al.. (2024). Deep Age-Invariant Fingerprint Segmentation System. IEEE Transactions on Biometrics Behavior and Identity Science. 7(3). 313–330. 3 indexed citations

Hussain, Faraz, et al.. (2024). The Effect of Surface Roughness and Deposition Time on the Biocompatibility of Electrodeposited Hydroxyapatite Coating on Grit-Blasted AZ31B Mg Alloy. Iranian Journal of Science. 49(1). 283–296. 3 indexed citations

Hussain, Faraz, Derrick Blackmore, Elaine Yacyshyn, et al.. (2023). Residual serum fibrinogen as a universal biomarker for all serotypes of Myasthenia gravis. Scientific Reports. 13(1). 21229–21229. 3 indexed citations

Hussain, Faraz, et al.. (2023). A Feasible Route to Produce 30 MPa Adhesion Strength of Electrochemically Deposited Hydroxyapatite (HA) on Titanium (Ti6Al4V) Alloy. Transactions of the Indian Institute of Metals. 76(6). 1653–1660. 2 indexed citations

Kline, Robert W., et al.. (2021). Deep Slap Fingerprint Segmentation for Juveniles and Adults. 1–4. 2 indexed citations

Siddiqi, Zaeem A., Md. Wasim Khan, & Faraz Hussain. (2021). Rituximab in Myasthenia Gravis - Where do we stand?. Expert Opinion on Biological Therapy. 21(8). 1013–1023. 6 indexed citations

Hussain, Faraz, Mohamed A. Eldeeb, Derrick Blackmore, & Zaeem A. Siddiqi. (2020). Guillain Barré syndrome and COVID-19: Possible role of the cytokine storm. Autoimmunity Reviews. 19(12). 102681–102681. 25 indexed citations

Carroll, J. J., et al.. (2020). Resource-aware On-device Deep Learning for Supermarket Hazard Detection. 871–876. 2 indexed citations

Hussain, Faraz, et al.. (2020). Fast Resilient-Aware Data Layout Organization for Resistive Computing Systems. 87. 72–77. 1 indexed citations

10.

Shakeel, Adnan, et al.. (2017). Déjà vu of Farmers' Suicide: A Theoretical Insight from India. Arab world geographer. 20(4). 330–346. 3 indexed citations

11.

Hussain, Faraz, Damla Turgut, Narsingh Deo, et al.. (2017). A theorem proving approach for automatically synthesizing visualizations of flow cytometry data. BMC Bioinformatics. 18(S8). 245–245. 1 indexed citations

12.

Ramanathan, Arvind, et al.. (2016). Integrating Symbolic and Statistical Methods for Testing Intelligent Systems Applications to Machine Learning and Computer Vision. 786–791. 12 indexed citations

13.

Hussain, Faraz. (2016). Techniques for automated parameter estimation in computational models of probabilistic systems. Journal of International Crisis and Risk Communication Research. 1 indexed citations

14.

Hussain, Faraz, Christopher J. Langmead, Qi Mi, et al.. (2015). Automated parameter estimation for biological models using Bayesian statistical model checking. BMC Bioinformatics. 16(S17). S8–S8. 7 indexed citations

15.

Ghosh, Arup, Faraz Hussain, Susmit Jha, Christopher J. Langmead, & Sumit Kumar Jha. (2014). Discovering rare behaviours in stochastic differential equations using decision procedures: applications to a minimal cell cycle model. International Journal of Bioinformatics Research and Applications. 10(4/5). 540–540. 1 indexed citations

16.

Hussain, Faraz, Sumit Kumar Jha, Susmit Jha, & Christopher J. Langmead. (2014). Parameter discovery in stochastic biological models using simulated annealing and statistical model checking. International Journal of Bioinformatics Research and Applications. 10(4/5). 519–519. 4 indexed citations

17.

Ghosh, Arup, Faraz Hussain, Sumit Kumar Jha, Christopher J. Langmead, & Susmit Jha. (2012). Decision procedure based discovery of rare behaviors in Stochastic Differential Equation models of biological systems. Journal of International Crisis and Risk Communication Research. 206. 1–6. 4 indexed citations

18.

Hussain, Faraz & Gary T. Leavens. (2010). temporaljmlc: A JML Runtime Assertion Checker Extension for Specification and Checking of Temporal Properties. Journal of International Crisis and Risk Communication Research. 28. 63–72. 2 indexed citations

19.

Hussain, Faraz, et al.. (2010). The design of SafeJML, a specification language for SCJ with support for WCET specification. Journal of International Crisis and Risk Communication Research. 155–163. 10 indexed citations

20.

Hussain, Faraz, et al.. (2006). Mapping OGC PRINCE 2 to SEI CMMI 1.1. nr3. 284–289. 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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