Daniel B. Rowe

1.8k citations
57 papers · 1.2k · h-index 16

Impact in

Papers in

Daniel B. Rowe

52 papers receiving 1.2k citations

Peers

Daniel B. Rowe
Comparison fields: 5 of 108
  • Radiology, Nuclear Medicine and Imaging 734
  • Computational Mathematics 21
  • Cognitive Neuroscience 440
  • Statistics and Probability 88
  • Modeling and Simulation 28
Replace Cheng Guan Koay with:
Cheng Guan Koay United States
Lipeng Ning United States
Jörg Polzehl Germany
Lars Ruthotto United States
Yves D’Asseler Belgium
Yaniv Gur United States
Maria Filomena Santarelli Italy
Antonio Tristán‐Vega Spain
Jonathan Taylor United States
Klaus Fritzsche Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Rowe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Rowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel B. Rowe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel B. Rowe Line = papers co-authored together Daniel B. Rowe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003377
2 2004101
3 200588
4 200485
5 201254
6 200242
7 200740
8 200935
9 200433
10 200733
11 200830
12 200728
13 201824
14 201821
15 201019
16 200116
17 200615
18 200913
19 200711
20 201811

About Daniel B. Rowe

Daniel B. Rowe is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Artificial Intelligence, Signal Processing and Statistics and Probability, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (33 papers), Functional Brain Connectivity Studies (29 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Blind Source Separation Techniques (7 papers), Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (5 papers), Medical Imaging Techniques and Applications (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (734 citations), Computational Mathematics (21 citations), Cognitive Neuroscience (440 citations), Statistics and Probability (88 citations) and Modeling and Simulation (28 citations). Daniel B. Rowe has collaborated with scholars based in United States, Spain and Denmark. Frequent co-authors include Brent R. Logan, James S. Hyde, Hanbing Lu, Kevin M. Bennett, Kathleen M. Schmainda, Andrew S. Nencka, Andrew D. Hahn, Amita Shukla‐Dave, Muge Karaman and Asim Afaq. Their work appears in journals such as Magnetic Resonance Imaging, NeuroImage, Magnetic Resonance in Medicine, Human Brain Mapping and Journal of the American Statistical Association.

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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