Adham Beykikhoshk

465 total citations
11 papers, 272 citations indexed

About

Adham Beykikhoshk is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Adham Beykikhoshk has authored 11 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Adham Beykikhoshk's work include Artificial Intelligence in Healthcare (3 papers), Topic Modeling (3 papers) and Misinformation and Its Impacts (2 papers). Adham Beykikhoshk is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Topic Modeling (3 papers) and Misinformation and Its Impacts (2 papers). Adham Beykikhoshk collaborates with scholars based in Australia, Singapore and Iran. Adham Beykikhoshk's co-authors include Svetha Venkatesh, Dinh Phung, Ognjen Arandjelović, Terry Caelli, Moloud Abdar, Abbas Khosravi, Saeid Nahavandi, Mohamad Roshanzamir, Roohallah Alizadehsani and Fahime Khozeimeh and has published in prestigious journals such as Annals of Operations Research, Scientific Data and Soft Computing.

In The Last Decade

Adham Beykikhoshk

11 papers receiving 260 citations

Peers

Countries citing papers authored by Adham Beykikhoshk

Since Specialization

Citations

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

Fields of papers citing papers by Adham Beykikhoshk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adham Beykikhoshk

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020) 2021 ·Annals of Operations Research ·Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, (unknown), Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya	5
2	DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types 2020 ·BMC Medical Genomics ·Adham Beykikhoshk, Thomas P. Quinn, Sam Lee, Truyen Tran, Svetha Venkatesh	18
3	Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries 2020 ·Expert Systems ·Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Paweł Pławiak, Ru‐San Tan, U. Rajendra Acharya	27
4	A database for using machine learning and data mining techniques for coronary artery disease diagnosis 2019 ·Scientific Data ·Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Maryam Panahiazar, (unknown), Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan	66
5	Model uncertainty quantification for diagnosis of each main coronary artery stenosis 2019 ·Soft Computing ·Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru‐San Tan, U. Rajendra Acharya	27
6	Discovering topic structures of a temporally evolving document corpus 2017 ·Knowledge and Information Systems ·Adham Beykikhoshk, Ognjen Arandjelović, Dinh Phung, Svetha Venkatesh	21
7	Analysing the History of Autism Spectrum Disorder Using Topic Models 2016 ·St Andrews Research Repository (St Andrews Research Repository) ·Adham Beykikhoshk, Dinh Phung, Ognjen Arandjelović, Svetha Venkatesh	8
8	Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis 2015 ·arXiv (Cornell University) ·Adham Beykikhoshk, Ognjen Arandjelović, Dinh Phung, Svetha Venkatesh	19
9	Using Twitter to learn about the autism community 2015 ·Social Network Analysis and Mining ·Adham Beykikhoshk, Ognjen Arandjelović, Dinh Phung, Svetha Venkatesh, Terry Caelli	44
10	Evaluating coverage changes in national parks using a hybrid change detection algorithm and remote sensing 2014 ·Journal of Applied Remote Sensing ·(unknown), Mehdi Mokhtarzade, Mahmod Reza Sahebi, Adham Beykikhoshk	7
11	Data-mining twitter and the autism spectrum disorder: A Pilot study 2014 ·Adham Beykikhoshk, Ognjen Arandjelović, Dinh Phung, Svetha Venkatesh, Terry Caelli	30

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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