Walter Nelson

47 papers receiving 1.3k citations

Hit Papers

Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology 2021 · 316 citations
3162021202620222024100200300

Peers

Walter Nelson
Comparison fields: 5 of 162
  • Health Informatics 69
  • Biophysics 121
  • Physical and Theoretical Chemistry 121
  • Health Information Management 49
  • Acoustics and Ultrasonics 6
Replace Edgardo A. Ferrán with:
Edgardo A. Ferrán France
Thomas Steinke Germany
Hari Mohan India
S W Smye United Kingdom
Brian Kelley United States
Joe G. Greener United Kingdom
Xiaoyi Lv China
Sung‐Sau So United States
Kimberley M. Zorn United States
Xutong Li China
Walter Nelson relative to Edgardo A. Ferrán France Edgardo A. Ferrán's profile →
Citations per field
00.5×7.6×
Edgardo A. Ferrán · 1×
Citations per year

Countries citing papers authored by Walter Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Walter Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 202413
4 20238
5 202317
6 20230
7 202271
8
Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology
Hit paper breakdown →
2021316
9 202077
10 2019100
11 201473
12
Sugars from new bioenergy crops are gaining ground.
20121
13 20020
14 1996194
15 19942
16
The Loyalist Legacy
19851
17 198210
18 19771
19 19744
20 19722

About Walter Nelson

Walter Nelson is a scholar working on Acoustics and Ultrasonics, Biophysics, Physical and Theoretical Chemistry, Food Science and Health Informatics, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiation Effects and Dosimetry (13 papers), Electron Spin Resonance Studies (9 papers), Photonic and Optical Devices (8 papers), DNA and Nucleic Acid Chemistry (6 papers), Advanced Photonic Communication Systems (6 papers), Photochemistry and Electron Transfer Studies (6 papers), Semiconductor Lasers and Optical Devices (5 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Health Informatics (69 citations), Biophysics (121 citations), Physical and Theoretical Chemistry (121 citations), Health Information Management (49 citations) and Acoustics and Ultrasonics (6 citations). Walter Nelson has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Jeremy Petch, Shuang Di, David M. Close, Einar Sagstuen, Eli O. Hole, Christophér C. Davis, P. Sprangle, J. P. Palastro, Anna Goldenberg and Jure Leskovec. Their work appears in journals such as Radiation Research, The Journal of Physical Chemistry, Journal of the Optical Society of America A, Molecular Physics and Inorganic Chemistry.

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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