Nathaniel E. Helwig

772 citations
40 papers · 542 · h-index 14

Impact in

Papers in

Nathaniel E. Helwig

39 papers receiving 533 citations

Peers

Nathaniel E. Helwig
Comparison fields: 5 of 133
  • Computational Mathematics 49
  • Statistics and Probability 62
  • Physical Therapy, Sports Therapy and Rehabilitation 29
  • Experimental and Cognitive Psychology 84
  • Orthopedics and Sports Medicine 53
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Citations per field
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Citations per year

Countries citing papers authored by Nathaniel E. Helwig

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel E. Helwig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel E. Helwig. 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 Nathaniel E. Helwig. The network helps show where Nathaniel E. Helwig may publish in the future.

Co-authors

The 25 scholars most cited alongside Nathaniel E. Helwig, 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 Nathaniel E. Helwig Line = papers co-authored together Nathaniel E. Helwig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 201847
3 201633
4 201729
5 201728
6 201726
7 201225
8 201623
9 201921
10 201421
11 201817
12 201716
13 201615
14 201913
15 202113
16 201513
17 201812
18 201312
19 201912
20 201612

About Nathaniel E. Helwig

Nathaniel E. Helwig is a scholar working on Statistics and Probability, Cognitive Neuroscience, Biomedical Engineering, Computational Mathematics and Signal Processing, having authored 40 papers that have together received 542 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (7 papers), Advanced Statistical Methods and Models (6 papers), Tensor decomposition and applications (5 papers), Functional Brain Connectivity Studies (4 papers), Gait Recognition and Analysis (3 papers), Lower Extremity Biomechanics and Pathologies (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Computational Mathematics (49 citations), Statistics and Probability (62 citations), Physical Therapy, Sports Therapy and Rehabilitation (29 citations), Experimental and Cognitive Psychology (84 citations) and Orthopedics and Sports Medicine (53 citations). Nathaniel E. Helwig has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sungjin Hong, Ping Ma, Elizabeth T. Hsiao‐Wecksler, John D. Polk, Stephen Palmer, Kelly L. Whiteford, Karen B. Schloss, Stephen J. Guy, Sofía Lyford-Pike and Niels G. Waller. Their work appears in journals such as Journal of Biomechanics, Journal of Computational and Graphical Statistics, NeuroImage, Psychometrika and PLoS ONE.

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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