Daniel T. Larose

2.3k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Daniel T. Larose is a scholar working on Information Systems, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Daniel T. Larose has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Statistics, Probability and Uncertainty and 3 papers in Statistics and Probability. Recurrent topics in Daniel T. Larose's work include Data Mining Algorithms and Applications (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Meta-analysis and systematic reviews (2 papers). Daniel T. Larose is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Meta-analysis and systematic reviews (2 papers). Daniel T. Larose collaborates with scholars based in United States, Norway and France. Daniel T. Larose's co-authors include Chantal D. Larose, Dipak K. Dey, Bethlyn Houlihan, Mary D. Slavin, David Rosenblum, S. Seetharama, Alan M. Jette, Zdravko Markov, Randall W. Barton and Charles H. Whitaker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Daniel T. Larose

13 papers receiving 1.1k 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.

Discovering Knowledge in Data

2014 357 citations Daniel T. Larose, Chantal D. Larose profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel T. Larose United States	10	358	278	83	76	71	14	1.2k
Ann E. Smith United States	7	462 1.3×	306 1.1×	130 1.6×	136 1.8×	39 0.5×	14	1.3k
Zoran Bosnić Slovenia	19	454 1.3×	201 0.7×	99 1.2×	73 1.0×	18 0.3×	54	1.2k
James A. Rodger United States	18	228 0.6×	305 1.1×	64 0.8×	44 0.6×	69 1.0×	76	1.3k
Lidong Wang China	15	335 0.9×	157 0.6×	54 0.7×	108 1.4×	47 0.7×	88	995
Yu‐Shan Shih Taiwan	10	841 2.3×	412 1.5×	157 1.9×	97 1.3×	42 0.6×	21	1.8k
Michel Lang Germany	14	545 1.5×	91 0.3×	123 1.5×	52 0.7×	28 0.4×	39	1.7k
Richard E. Neapolitan United States	18	766 2.1×	134 0.5×	76 0.9×	100 1.3×	38 0.5×	56	1.5k
Giovanna Menardi Italy	8	420 1.2×	79 0.3×	45 0.5×	47 0.6×	64 0.9×	24	1.0k
David Martínez‐Rego Spain	13	345 1.0×	220 0.8×	109 1.3×	63 0.8×	120 1.7×	28	940
Daniel Neagu United Kingdom	21	378 1.1×	338 1.2×	94 1.1×	43 0.6×	14 0.2×	92	1.4k

Countries citing papers authored by Daniel T. Larose

Since Specialization

Citations

This map shows the geographic impact of Daniel T. Larose'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 Daniel T. Larose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Larose more than expected).

Fields of papers citing papers by Daniel T. Larose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Larose. 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 Daniel T. Larose. The network helps show where Daniel T. Larose may publish in the future.

Co-authorship network of co-authors of Daniel T. Larose

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

All Works

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14 of 14 papers shown

1.

Larose, Chantal D. & Daniel T. Larose. (2019). Data Science Using Python and R. 12 indexed citations

2.

Larose, Daniel T. & Chantal D. Larose. (2019). Discovering knowledge in Data: an Introduction Data Mining. Ed. 2. 1 indexed citations

3.

Felice, Kevin J., Charles H. Whitaker, Qian Wu, et al.. (2018). Sensitivity and clinical utility of the anti-cytosolic 5′-nucleotidase 1A (cN1A) antibody test in sporadic inclusion body myositis: Report of 40 patients from a single neuromuscular center. Neuromuscular Disorders. 28(8). 660–664. 24 indexed citations

4.

Jette, Alan M., S. Seetharama, David Rosenblum, et al.. (2016). Developing Artificial Neural Network Models to Predict Functioning One Year After Traumatic Spinal Cord Injury. Archives of Physical Medicine and Rehabilitation. 97(10). 1663–1668.e3. 44 indexed citations

5.

Larose, Daniel T. & Chantal D. Larose. (2015). Data Mining and Predictive Analytics. CERN Document Server (European Organization for Nuclear Research). 61 indexed citations

6.

Larose, Daniel T.. (2015). Sur la présence implicite de la notion d’opinion droite dans les dialogues de jeunesse de Platon. SHILAP Revista de lepidopterología. 12.

7.

Larose, Daniel T. & Chantal D. Larose. (2014). Discovering Knowledge in Data. 357 indexed citations breakdown →

8.

Nurse, Brenda A., et al.. (2013). Low Rate of Bacteremia with a Subcutaneously Implanted Central Venous access Device. The Journal of Vascular Access. 15(1). 51–55. 2 indexed citations

9.

Markov, Zdravko & Daniel T. Larose. (2006). Data Mining the Web. 8 indexed citations

10.

Larose, Daniel T.. (2005). Data Mining Methods and Models. CERN Document Server (European Organization for Nuclear Research). 257 indexed citations

11.

Larose, Daniel T.. (2004). Discovering Knowledge in Data. 338 indexed citations

12.

Larose, Daniel T. & Dipak K. Dey. (1998). Modeling publication bias using weighted distributions in a Bayesian framework. Computational Statistics & Data Analysis. 26(3). 279–302. 21 indexed citations

13.

Larose, Daniel T. & Dipak K. Dey. (1997). Grouped random effects models for Bayesian meta-analysis. Statistics in Medicine. 16(16). 1817–1829. 37 indexed citations

14.

Larose, Daniel T. & Dipak K. Dey. (1996). Weighted distributions viewed in the context of model selection: A Bayesian perspective. Test. 5(1). 227–246. 11 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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