A.I. Whitehouse

549 citations
12 papers · 442 indexed · h-index 5
Topics
Laser-induced spectroscopy and plasma (11 papers)Analytical chemistry methods development (8 papers)Mercury impact and mitigation studies (5 papers)

In The Last Decade

A.I. Whitehouse

11 papers receiving 426 citations

Peers

A.I. Whitehouse
Comparison fields: 5 of 44
  • Mechanics of Materials 406
  • Analytical Chemistry 320
  • Archeology 116
  • Health, Toxicology and Mutagenesis 107
  • Spectroscopy 97
Replace R. J. Winkel with:
R. J. Winkel United States
B. M. Suri India
Dimitra N. Stratis United States
Jorge Serrano Spain
David A. Rusak United States
Ashwin Kumar Myakalwar Chile
Dayana Oropeza United States
Kristine L. Eland United States
Rosemarie C. Chinni United States
Marion Lawrence-Snyder United States
A.I. Whitehouse relative to R. J. Winkel United States R. J. Winkel's profile →
Citations per field
00.5×
R. J. Winkel · 1×
Citations per year

Countries citing papers authored by A.I. Whitehouse

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Whitehouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Whitehouse. 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 A.I. Whitehouse. The network helps show where A.I. Whitehouse may publish in the future.

Co-authorship network of co-authors of A.I. Whitehouse

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 3
3 2
4 41
5 1
6 2
7 197
8
Remote Compositional Analysis of Spent-Fuel Residues Using Laser-Induced Breakdown Spectroscopy
5
9 1
10 184
11 1
12 1

About A.I. Whitehouse

A.I. Whitehouse is a scholar working on Analytical Chemistry, Mechanics of Materials and Health, Toxicology and Mutagenesis, having authored 12 papers that have together received 442 indexed citations. Recurring topics across this work include Laser-induced spectroscopy and plasma (11 papers), Analytical chemistry methods development (8 papers) and Mercury impact and mitigation studies (5 papers). The work is most often cited by research in Analytical Chemistry (320 citations), Mechanics of Materials (406 citations) and Archeology (116 citations). A.I. Whitehouse has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include S. Palanco, James Young, S. Lawson, J. J. Laserna, Roy A. Walters, Cristina López-Moreno, Frank C. DeLucia, Andrzej W. Miziolek, Robert V. Fox and A. J. Brown. Their work appears in journals such as TrAC Trends in Analytical Chemistry, Spectrochimica Acta Part B Atomic Spectroscopy and Journal of Analytical Atomic Spectrometry.

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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