Nicholas Walker

21 papers receiving 519 citations

Nicholas Walker's Hit Papers

Structured information extraction from scientific text with large language models 2024 · 225 citations
2250+1Years since publication50100150200

Peers

Nicholas Walker
Comparison fields: 5 of 120
  • Health Informatics 13
  • Artificial Intelligence 154
  • Space and Planetary Science 6
  • Materials Chemistry 195
  • Modeling and Simulation 15
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Rachel Courtland United States
Jing Ma China
Gregorio D’Agostino Italy
Danilo Sergi Switzerland
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Peter Staar Switzerland
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Citations per year

Countries citing papers authored by Nicholas Walker

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structured information extraction from scientific text with large language models
Hit paper breakdown →
2024225
2 2022108
3 201658
4 198720
5 202118
6 202314
7 202014
8 198513
9 201811
10 200411
11 20028
12 19878
13 19877
14 20225
15 20204
16 20224
17
The SARTOM Project; Tomography for enhanced target detection for foliage penetrating airborne SAR(First-Year Results)
20073
18 20233
19
Foliage penetration effect on polarimetric SAR interferometry observation of forest
20082
20 19872

About Nicholas Walker

Nicholas Walker is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Aerospace Engineering, Materials Chemistry and Molecular Biology, having authored 21 papers that have together received 540 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers), Theoretical and Computational Physics (3 papers), Thermodynamic properties of mixtures (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Quantum many-body systems (3 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Health Informatics (13 citations), Artificial Intelligence (154 citations), Space and Planetary Science (6 citations), Materials Chemistry (195 citations) and Modeling and Simulation (15 citations). Nicholas Walker has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain, John Dagdelen, Andrew Rosen, Sang‐Hoon Lee, Branka Špehar, R. P. Taylor and Derek J. Gardiner. Their work appears in journals such as Physical review. E, Scientific Reports, PLoS ONE, Nature Communications and Machine Learning Science and Technology.

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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