Vahid Taslimitehrani

580 total citations
11 papers, 351 citations indexed

About

Vahid Taslimitehrani is a scholar working on Artificial Intelligence, Health Information Management and Civil and Structural Engineering. According to data from OpenAlex, Vahid Taslimitehrani has authored 11 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Health Information Management and 2 papers in Civil and Structural Engineering. Recurrent topics in Vahid Taslimitehrani's work include Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (3 papers) and Neural Networks and Applications (2 papers). Vahid Taslimitehrani is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (3 papers) and Neural Networks and Applications (2 papers). Vahid Taslimitehrani collaborates with scholars based in United States. Vahid Taslimitehrani's co-authors include Jyotishman Pathak, Maryam Panahiazar, Guozhu Dong, Naveen L. Pereira, Behzad Ghanbarian, Yakov Pachepsky, Ashutosh Jadhav, Larry W. Lake and Mohammad B. Shadmand and has published in prestigious journals such as Journal of Hydrology, IEEE Transactions on Knowledge and Data Engineering and CATENA.

In The Last Decade

Vahid Taslimitehrani

11 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vahid Taslimitehrani United States	8	142	116	74	73	41	11	351
Selim Buyrukoğlu Türkiye	9	113 0.8×	65 0.6×	11 0.1×	20 0.3×	12 0.3×	30	288
Laboni Akter Bangladesh	8	138 1.0×	83 0.7×	6 0.1×	54 0.7×	8 0.2×	15	318
Samaneh Mazaheri Malaysia	8	113 0.8×	47 0.4×	8 0.1×	23 0.3×	36 0.9×	17	281
P. V. S. Srinivas India	4	66 0.5×	102 0.9×	9 0.1×	15 0.2×	27 0.7×	13	257
Simon Meyer Lauritsen Denmark	5	251 1.8×	59 0.5×	13 0.2×	9 0.1×	39 1.0×	7	418
Junhyug Noh South Korea	9	74 0.5×	22 0.2×	19 0.3×	26 0.4×	8 0.2×	17	481
Mads Ruben Burgdorff Kristensen Denmark	5	166 1.2×	36 0.3×	14 0.2×	5 0.1×	24 0.6×	11	348
Shailendra Kumar Shrivastava India	5	111 0.8×	92 0.8×	8 0.1×	20 0.3×	22 0.5×	14	268
Vivek Sharma India	2	83 0.6×	92 0.8×	8 0.1×	20 0.3×	22 0.5×	9	226

Countries citing papers authored by Vahid Taslimitehrani

Since Specialization

Citations

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

Fields of papers citing papers by Vahid Taslimitehrani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Taslimitehrani

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

Ghanbarian, Behzad, et al.. (2023). Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability. Engineering Applications of Artificial Intelligence. 128. 107500–107500. 5 indexed citations

Taslimitehrani, Vahid, Guozhu Dong, Naveen L. Pereira, Maryam Panahiazar, & Jyotishman Pathak. (2016). Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function. Journal of Biomedical Informatics. 60. 260–269. 54 indexed citations

Dong, Guozhu & Vahid Taslimitehrani. (2016). Pattern Aided Classification. 225–233. 3 indexed citations

Ghanbarian, Behzad, Vahid Taslimitehrani, & Yakov Pachepsky. (2016). Accuracy of sample dimension-dependent pedotransfer functions in estimation of soil saturated hydraulic conductivity. CATENA. 149. 374–380. 36 indexed citations

Dong, Guozhu & Vahid Taslimitehrani. (2016). Pattern-aided regression modeling and prediction model analysis. 9. 1508–1509. 5 indexed citations

Panahiazar, Maryam, Vahid Taslimitehrani, Naveen L. Pereira, & Jyotishman Pathak. (2015). Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics. Studies in health technology and informatics. 210. 369–73. 36 indexed citations

Panahiazar, Maryam, Vahid Taslimitehrani, Naveen L. Pereira, & Jyotishman Pathak. (2015). Using EHRs and Machine Learning for Heart Failure Survival Analysis. Studies in health technology and informatics. 216. 40–4. 78 indexed citations

Ghanbarian, Behzad, Vahid Taslimitehrani, Guozhu Dong, & Yakov Pachepsky. (2015). Sample dimensions effect on prediction of soil water retention curve and saturated hydraulic conductivity. Journal of Hydrology. 528. 127–137. 54 indexed citations

Dong, Guozhu & Vahid Taslimitehrani. (2015). Pattern-Aided Regression Modeling and Prediction Model Analysis. IEEE Transactions on Knowledge and Data Engineering. 27(9). 2452–2465. 23 indexed citations

10.

Taslimitehrani, Vahid & Guozhu Dong. (2014). A New CPXR Based Logistic Regression Method and Clinical Prognostic Modeling Results Using the Method on Traumatic Brain Injury. 11. 283–290. 7 indexed citations

11.

Panahiazar, Maryam, Vahid Taslimitehrani, Ashutosh Jadhav, & Jyotishman Pathak. (2014). Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases. PubMed. 2014. 790–795. 50 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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