Radu Stefan Niculescu

1.3k total citations · 1 hit paper
22 papers, 807 citations indexed

About

Radu Stefan Niculescu is a scholar working on Artificial Intelligence, Health Information Management and Cognitive Neuroscience. According to data from OpenAlex, Radu Stefan Niculescu has authored 22 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Health Information Management and 3 papers in Cognitive Neuroscience. Recurrent topics in Radu Stefan Niculescu's work include Bayesian Modeling and Causal Inference (4 papers), Machine Learning in Healthcare (4 papers) and Algorithms and Data Compression (4 papers). Radu Stefan Niculescu is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Machine Learning in Healthcare (4 papers) and Algorithms and Data Compression (4 papers). Radu Stefan Niculescu collaborates with scholars based in United States, Germany and Canada. Radu Stefan Niculescu's co-authors include Rebecca Hutchinson, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman, Francisco Pereira, T. M. Mitchell, R. Bharat Rao, Tom M. Mitchell, Sriram Krishnan and Shipeng Yu and has published in prestigious journals such as NeuroImage, Journal of Clinical Pathology and Machine Learning.

In The Last Decade

Radu Stefan Niculescu

21 papers receiving 754 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning to Decode Cognitive States from Brain Images

2004 467 citations T. M. Mitchell, Rebecca Hutchinson et al. Machine Learning profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Radu Stefan Niculescu United States	11	381	329	102	76	68	22	807
E. Micheli-Tzanakou United States	15	185 0.5×	200 0.6×	219 2.1×	29 0.4×	139 2.0×	108	702
Kyriakos Sgarbas Greece	13	136 0.4×	171 0.5×	77 0.8×	76 1.0×	25 0.4×	55	529
Graham Healy Ireland	13	105 0.3×	403 1.2×	374 3.7×	41 0.5×	52 0.8×	61	925
Rizwan Ahmed Khan Pakistan	14	92 0.2×	341 1.0×	197 1.9×	28 0.4×	86 1.3×	32	807
Daming Wei Japan	16	244 0.6×	71 0.2×	128 1.3×	47 0.6×	69 1.0×	108	1.0k
Jinpeng Li China	16	972 2.6×	362 1.1×	197 1.9×	25 0.3×	150 2.2×	45	1.5k
Gauthier Doquire Belgium	10	162 0.4×	276 0.8×	170 1.7×	74 1.0×	36 0.5×	16	610
Sunil Kumar Prabhakar South Korea	15	403 1.1×	281 0.9×	89 0.9×	105 1.4×	251 3.7×	88	775
Mohammad-Parsa Hosseini United States	11	457 1.2×	110 0.3×	87 0.9×	28 0.4×	146 2.1×	14	766
Carlos Eduardo Thomaz Brazil	18	337 0.9×	161 0.5×	529 5.2×	65 0.9×	152 2.2×	103	1.2k

Countries citing papers authored by Radu Stefan Niculescu

Since Specialization

Citations

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

Fields of papers citing papers by Radu Stefan Niculescu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu Stefan Niculescu. 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 Radu Stefan Niculescu. The network helps show where Radu Stefan Niculescu may publish in the future.

Co-authorship network of co-authors of Radu Stefan Niculescu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pozdnyakova, Olga, et al.. (2022). Beyond the routine CBC: machine learning and statistical analyses identify research CBC parameter associations with myelodysplastic syndromes and specific underlying pathogenic variants. Journal of Clinical Pathology. 76(9). 624–631. 9 indexed citations

2.

Niculescu, Radu Stefan, et al.. (2020). Lessons from Deploying Predictive Analytics on Manufacturing Shop Floor. 1–5. 2 indexed citations

3.

Mitchell, Tom M., Rebecca Hutchinson, Marcel Adam Just, et al.. (2018). Classifying instantaneous cognitive states from fMRI data. PubMed. 465–9. 10 indexed citations

4.

Niculescu, Radu Stefan, et al.. (2017). Predictive maintenance applications for machine learning. 1–7. 33 indexed citations

5.

Hutchinson, Rebecca, et al.. (2009). Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models. NeuroImage. 46(1). 87–104. 32 indexed citations

6.

Liu, Ying, et al.. (2008). Block-suffix shifting: fast, simultaneous medical concept set identification in large medical record corpora.. PubMed. 424–8. 1 indexed citations

7.

Liu, Ying, et al.. (2008). Finding a Haystack in Haystacks – Simultaneous Identification of Concepts in Large Bio-Medical Corpora. 668–679. 1 indexed citations

8.

Yu, Shipeng, et al.. (2008). Large Scale Diagnostic Code Classification for Medical Patient Records. 877–882. 32 indexed citations

9.

Niculescu, Radu Stefan, Tom M. Mitchell, & R. Bharat Rao. (2007). A theoretical framework for learning Bayesian networks with parameter inequality constraints. International Joint Conference on Artificial Intelligence. 155–160. 12 indexed citations

10.

Xu, Jian‐Wu, et al.. (2007). Automatic medical coding of patient records via weighted ridge regression. 260–265. 10 indexed citations

11.

Niculescu, Radu Stefan, Tom M. Mitchell, & R. Bharat Rao. (2006). Bayesian Network Learning with Parameter Constraints. Journal of Machine Learning Research. 7(50). 1357–1383. 54 indexed citations

12.

Rao, R. Bharat, Sriram Krishnan, & Radu Stefan Niculescu. (2006). Data mining for improved cardiac care. ACM SIGKDD Explorations Newsletter. 8(1). 3–10. 88 indexed citations

13.

Niculescu, Radu Stefan, Tom M. Mitchell, & R. Bharat Rao. (2005). Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. 310–321. 7 indexed citations

14.

Mitchell, Tom M. & Radu Stefan Niculescu. (2005). Exploiting parameter domain knowledge for learning in bayesian networks. 10 indexed citations

15.

Mitchell, T. M., Rebecca Hutchinson, Radu Stefan Niculescu, et al.. (2004). Learning to Decode Cognitive States from Brain Images. Machine Learning. 57(1-2). 145–175. 467 indexed citations breakdown →

16.

Niculescu, Radu Stefan, et al.. (2003). Clinical and financial outcomes analysis with existing hospital patient records. 1 indexed citations

17.

Rao, R. Bharat, et al.. (2003). Clinical and financial outcomes analysis with existing hospital patient records. 416–425. 12 indexed citations

18.

Mitchell, Tom M., Rebecca Hutchinson, Marcel Adam Just, et al.. (2003). Machine Learning of fMRI Virtual Sensors of Cognitive States. 7 indexed citations

19.

Niculescu, Radu Stefan, et al.. (2002). Mining time-dependent patient outcomes from hospital patient records.. PubMed. 632–6. 9 indexed citations

20.

Niculescu, Radu Stefan, et al.. (1984). [Prognostic factors in chronic granulocytic leukemia].. PubMed. 35(5). 433–8. 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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