David J. Butcher

2.2k total citations
84 papers, 1.6k citations indexed

About

David J. Butcher is a scholar working on Analytical Chemistry, Spectroscopy and Electrochemistry. According to data from OpenAlex, David J. Butcher has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Analytical Chemistry, 16 papers in Spectroscopy and 15 papers in Electrochemistry. Recurrent topics in David J. Butcher's work include Analytical chemistry methods development (41 papers), Electrochemical Analysis and Applications (15 papers) and Heavy metals in environment (12 papers). David J. Butcher is often cited by papers focused on Analytical chemistry methods development (41 papers), Electrochemical Analysis and Applications (15 papers) and Heavy metals in environment (12 papers). David J. Butcher collaborates with scholars based in United States and Germany. David J. Butcher's co-authors include Arthur L. Salido, Jae‐Min Lim, Douglas E. Goeringer, Joseph Sneddon, Scott A. McLuckey, Keiji G. Asano, Richard L. Irwin, Robert G. Michel, C. Hackett Bushweller and Christopher D. Rithner and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Inorganic Chemistry.

In The Last Decade

David J. Butcher

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David J. Butcher United States 24 662 430 361 262 210 84 1.6k
Koichi Chiba Japan 28 1.2k 1.8× 445 1.0× 445 1.2× 143 0.5× 596 2.8× 152 2.3k
Kazumasa Ueda Japan 23 338 0.5× 205 0.5× 292 0.8× 92 0.4× 214 1.0× 97 2.0k
Jorge C. Masini Brazil 29 661 1.0× 527 1.2× 383 1.1× 107 0.4× 170 0.8× 129 2.5k
Juwadee Shiowatana Thailand 24 451 0.7× 506 1.2× 119 0.3× 138 0.5× 199 0.9× 64 1.7k
María Fernanda Giné Brazil 22 943 1.4× 176 0.4× 316 0.9× 117 0.4× 228 1.1× 56 1.7k
Ray von Wandruszka United States 25 230 0.3× 314 0.7× 235 0.7× 140 0.5× 270 1.3× 73 2.5k
J. Sanz Spain 27 559 0.8× 323 0.8× 240 0.7× 412 1.6× 717 3.4× 66 1.9k
Dirk Schaumlöffel France 30 972 1.5× 341 0.8× 891 2.5× 262 1.0× 543 2.6× 69 2.5k
Jian Ma China 30 425 0.6× 175 0.4× 461 1.3× 224 0.9× 119 0.6× 73 2.3k
B. Ya. Spivakov Russia 27 716 1.1× 167 0.4× 221 0.6× 89 0.3× 77 0.4× 112 2.0k

Countries citing papers authored by David J. Butcher

Since Specialization
Citations

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

Fields of papers citing papers by David J. Butcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Butcher. 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 David J. Butcher. The network helps show where David J. Butcher may publish in the future.

Co-authorship network of co-authors of David J. Butcher

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

All Works

20 of 20 papers shown
1.
Butcher, David J., et al.. (2025). Recent applications of graphite furnace atomic absorption spectrometry for the analysis of medicinal plants and plant-based remedies. Applied Spectroscopy Reviews. 60(9-10). 957–977.
2.
Butcher, David J.. (2021). Innovations and developments in graphite furnace atomic absorption spectrometry (GFAAS). Applied Spectroscopy Reviews. 58(1). 65–82. 25 indexed citations
3.
Butcher, David J.. (2019). Recent advances in the determination of calcium and its use as an internal standard in environmental samples: fundamentals and applications. Applied Spectroscopy Reviews. 55(1). 60–75. 4 indexed citations
4.
Butcher, David J.. (2013). Molecular absorption spectrometry in flames and furnaces: A review. Analytica Chimica Acta. 804. 1–15. 67 indexed citations
5.
Butcher, David J., et al.. (2012). DETERMINATION OF ALUMINUM, CALCIUM, AND MAGNESIUM IN FRASER FIR (ABIES FOLIAGE) FOLIAGE AND SURROUNDING SOIL IN THE SOUTHERN APPALACHIANS. Instrumentation Science & Technology. 40(5). 457–467. 1 indexed citations
6.
Butcher, David J.. (2006). Advances in Electrothermal Atomization Atomic Absorption Spectrometry: Instrumentation, Methods, and Applications. Applied Spectroscopy Reviews. 41(1). 15–34. 21 indexed citations
7.
Butcher, David J.. (2005). Book review. Microchemical Journal. 81(2). 230–230. 4 indexed citations
8.
Zybin, Alexander, Joachim Koch, David J. Butcher, & K. Niemax. (2004). Element-selective detection in liquid and gas chromatography by diode laser absorption spectrometry. Journal of Chromatography A. 1050(1). 35–44. 14 indexed citations
9.
Salido, Arthur L., et al.. (2003). Phytoremediation of Arsenic and Lead in Contaminated Soil Using Chinese Brake Ferns (Pteris vittata) and Indian Mustard (Brassica juncea). International Journal of Phytoremediation. 5(2). 89–103. 155 indexed citations
10.
Salido, Arthur L., et al.. (2003). Sparky IntroChem: A Student-Oriented Introductory Chemistry Course. Journal of Chemical Education. 80(2). 137–137. 5 indexed citations
11.
Butcher, David J., A. Zybin, М. А. Большов, & K. Niemax. (2001). Diode Laser Atomic Absorption Spectrometry as a Detector for Metal Speciation. Reviews in Analytical Chemistry. 20(2). 79–100. 5 indexed citations
12.
Vandervoort, K. G., et al.. (1999). Highly Oriented Pyrolytic Graphite as a Platform for Atomic Absorption Spectrometry. Microchemical Journal. 61(3). 247–261. 4 indexed citations
13.
Butcher, David J.. (1999). Atomic Absorption Spectrometry, Third Edition. By Bernhard Welz and Michael Sperling. Microchemical Journal. 62(3). 414–414. 6 indexed citations
14.
Butcher, David J., Keiji G. Asano, Douglas E. Goeringer, & Scott A. McLuckey. (1999). Thermal Dissociation of Gaseous Bradykinin Ions. The Journal of Physical Chemistry A. 103(43). 8664–8671. 47 indexed citations
15.
Butcher, David J. & Joseph Sneddon. (1998). A practical guide to graphite furnace atomic absorption spectrometry. Wiley eBooks. 69 indexed citations
16.
Butcher, David J., et al.. (1998). Chemical Analysis of an Endangered Conifer: Environmental Laboratory Experiments. Journal of Chemical Education. 75(12). 1592–1592. 2 indexed citations
17.
18.
Majidi, Vahid, James A. Holcombe, K. G. Vandervoort, David J. Butcher, & John Robertson. (1997). Electrothermal Vaporization and Characterization of the Graphite Surface at Elevated Temperatures. Applied Spectroscopy. 51(11). 408A–423A. 9 indexed citations
19.
Vandervoort, K. G., et al.. (1996). Scanning Tunneling Microscope Images of Graphite Substrates Used in Graphite Furnace Atomic Absorption Spectrometry. Applied Spectroscopy. 50(7). 928–938. 14 indexed citations
20.
Bushweller, C. Hackett, Christopher D. Rithner, & David J. Butcher. (1986). Stereodynamics of trans-[tert-C4H9)2PR]2M(CO)X systems (R = H, CH3; M = Rh(I), Ir(I); X = Cl, Br, I). Assignment of conformational preferences and conformational exchange itineraries. Inorganic Chemistry. 25(10). 1610–1616. 26 indexed citations

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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