Behnood Gholami

712 total citations
36 papers, 494 citations indexed

About

Behnood Gholami is a scholar working on Surgery, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Behnood Gholami has authored 36 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Critical Care and Intensive Care Medicine and 8 papers in Anesthesiology and Pain Medicine. Recurrent topics in Behnood Gholami's work include Intensive Care Unit Cognitive Disorders (8 papers), Anesthesia and Sedative Agents (8 papers) and Healthcare Technology and Patient Monitoring (5 papers). Behnood Gholami is often cited by papers focused on Intensive Care Unit Cognitive Disorders (8 papers), Anesthesia and Sedative Agents (8 papers) and Healthcare Technology and Patient Monitoring (5 papers). Behnood Gholami collaborates with scholars based in United States, Canada and Israel. Behnood Gholami's co-authors include Wassim M. Haddad, Allen Tannenbaum, James M. Bailey, Timothy S. Phan, Negar Tavassolian, Nathalie Y.R. Agar, Daria A. Trojan, Isaiah Norton, József Kövecses and William W. Muir and has published in prestigious journals such as Scientific Reports, Automatica and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Behnood Gholami

35 papers receiving 476 citations

Peers

Behnood Gholami
B. Goldstein United States
Christian W. Hesse United Kingdom
Don Krieger United States
Micah Davis United States
Joseph Kim United States
H. Litvan Spain
Volkan Tuzcu Türkiye
Christopher G. Scully United States
B. Goldstein United States
Behnood Gholami
Citations per year, relative to Behnood Gholami Behnood Gholami (= 1×) peers B. Goldstein

Countries citing papers authored by Behnood Gholami

Since Specialization
Citations

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

Fields of papers citing papers by Behnood Gholami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behnood Gholami

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

All Works

20 of 20 papers shown
1.
Roué, Jean‐Michel, et al.. (2025). Objective Detection of Newborn Infant Acute Procedural Pain Using EEG and Machine Learning Algorithms. PubMed. 7(1). e70001–e70001.
2.
Afrasiabi, Ali, et al.. (2025). Post-Y90 PET Dosimetry. PET Clinics. 20(3). 291–298. 1 indexed citations
3.
Roué, Jean‐Michel, Iris Morag, Wassim M. Haddad, Behnood Gholami, & K.J.S. Anand. (2021). Using sensor-fusion and machine-learning algorithms to assess acute pain in non-verbal infants: a study protocol. BMJ Open. 11(1). e039292–e039292. 14 indexed citations
4.
Gholami, Behnood, Wassim M. Haddad, James M. Bailey, & William W. Muir. (2021). Closed-Loop Control for Fluid Resuscitation: Recent Advances and Future Challenges. Frontiers in Veterinary Science. 8. 642440–642440. 12 indexed citations
5.
Yang, Chenxi, Negar Tavassolian, Wassim M. Haddad, James M. Bailey, & Behnood Gholami. (2019). A Fast Parameter Identification Framework for Personalized Pharmacokinetics. Scientific Reports. 9(1). 14143–14143. 9 indexed citations
6.
Phan, Timothy S., et al.. (2019). Validation of an automated system for detecting ineffective triggering asynchronies during mechanical ventilation: a retrospective study. Journal of Clinical Monitoring and Computing. 34(6). 1233–1237. 6 indexed citations
7.
Gholami, Behnood, et al.. (2018). Replicating human expertise of mechanical ventilation waveform analysis in detecting patient-ventilator cycling asynchrony using machine learning. Computers in Biology and Medicine. 97. 137–144. 63 indexed citations
8.
Gholami, Behnood, Wassim M. Haddad, James M. Bailey, et al.. (2018). A pilot study evaluating adaptive closed‐loop fluid resuscitation during states of absolute and relative hypovolemia in dogs. Journal of Veterinary Emergency and Critical Care. 28(5). 436–446. 11 indexed citations
9.
Gholami, Behnood, Isaiah Norton, Allen Tannenbaum, & Nathalie Y.R. Agar. (2012). Recursive feature elimination for brain tumor classification using desorption electrospray ionization mass spectrometry imaging. PubMed. 2012. 5258–5261. 18 indexed citations
10.
Huang, Jian, Behnood Gholami, Nathalie Y.R. Agar, et al.. (2011). Classification of astrocytomas and oligodendrogliomas from mass spectrometry data using sparse kernel machines. PubMed. 2011. 7965–7968. 6 indexed citations
11.
Gholami, Behnood, James M. Bailey, Wassim M. Haddad, & Allen Tannenbaum. (2011). Clinical Decision Support and Closed-Loop Control for Cardiopulmonary Management and Intensive Care Unit Sedation Using Expert Systems. IEEE Transactions on Control Systems Technology. 20(5). 1343–1350. 16 indexed citations
12.
Gholami, Behnood, et al.. (2011). A compressive sensing approach for glioma margin delineation using mass spectrometry. PubMed. 2011. 5682–5685. 6 indexed citations
13.
Gholami, Behnood, Wassim M. Haddad, & Allen Tannenbaum. (2010). Relevance Vector Machine Learning for Neonate Pain Intensity Assessment Using Digital Imaging. IEEE Transactions on Biomedical Engineering. 57(6). 1457–1466. 70 indexed citations
14.
Gao, Yi, Behnood Gholami, Rob MacLeod, et al.. (2010). Segmentation of the endocardial wall of the left atrium using local region-based active contours and statistical shape learning. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76234Z–76234Z. 9 indexed citations
15.
Gholami, Behnood, et al.. (2009). Agitation and pain assessment using digital imaging. PubMed. 2009. 2176–2179. 26 indexed citations
16.
Gholami, Behnood, Wassim M. Haddad, & Allen Tannenbaum. (2009). An unsupervised learning approach for facial expression recognition using semi-definite programming and generalized principal component analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7532. 75320K–75320K. 1 indexed citations
17.
Gholami, Behnood, et al.. (2009). An Effective Approach For Distribution System Power Flow Solution. Zenodo (CERN European Organization for Nuclear Research). 15 indexed citations
18.
Gholami, Behnood, Brandon W. Gordon, & C.A. Rabbath. (2008). Real‐time scheduling of multiple uncertain receding horizon control systems. Optimal Control Applications and Methods. 30(2). 179–195. 1 indexed citations
19.
Hadavi, Valeh, Amir Hossein Taromchi, Mahdi Malekpour, et al.. (2007). Elucidating the spectrum of  -thalassemia mutations in Iran. Haematologica. 92(7). 992–993. 52 indexed citations
20.
Gholami, Behnood & Luís Rodrigues. (2004). STABILIZATION OF PIECEWISE-AFFINE SYSTEMS SUBJECT TO ACTUATOR SATURATION. 48–58. 1 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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