David J. Munch

1.0k total citations
33 papers, 843 citations indexed

About

David J. Munch is a scholar working on Health, Toxicology and Mutagenesis, Analytical Chemistry and Pollution. According to data from OpenAlex, David J. Munch has authored 33 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Health, Toxicology and Mutagenesis, 11 papers in Analytical Chemistry and 8 papers in Pollution. Recurrent topics in David J. Munch's work include Water Treatment and Disinfection (16 papers), Analytical chemistry methods development (11 papers) and Chemical Analysis and Environmental Impact (8 papers). David J. Munch is often cited by papers focused on Water Treatment and Disinfection (16 papers), Analytical chemistry methods development (11 papers) and Chemical Analysis and Environmental Impact (8 papers). David J. Munch collaborates with scholars based in United States and Germany. David J. Munch's co-authors include Barry V. Pepich, Herbert P. Wagner, Daniel P. Hautman, Steven D. Fazio, Min J. Yang, John J. Martin, Christopher A. Pohl, Kannan Srinivasan, Douglas W. Later and Rong Lin and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

David J. Munch

33 papers receiving 774 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. Munch United States 20 440 344 166 166 120 33 843
Rajmund Michalski Poland 19 307 0.7× 299 0.9× 194 1.2× 145 0.9× 150 1.3× 102 1.1k
A. Roig Spain 20 384 0.9× 295 0.9× 201 1.2× 113 0.7× 91 0.8× 47 1.1k
Isabel Turnes-Carou Spain 19 562 1.3× 340 1.0× 405 2.4× 174 1.0× 118 1.0× 42 1.1k
Wang‐Hsien Ding Taiwan 16 408 0.9× 262 0.8× 307 1.8× 136 0.8× 91 0.8× 33 819
M. Gallego Spain 23 518 1.2× 466 1.4× 122 0.7× 270 1.6× 262 2.2× 40 1.2k
A. Hamza Saudi Arabia 10 301 0.7× 204 0.6× 173 1.0× 83 0.5× 90 0.8× 17 807
Alfredo Rubio Díaz Spain 14 501 1.1× 253 0.7× 320 1.9× 119 0.7× 117 1.0× 34 850
William M. Draper United States 20 302 0.7× 128 0.4× 210 1.3× 161 1.0× 81 0.7× 53 1.0k
Murad I.H. Helaleh Japan 23 699 1.6× 275 0.8× 288 1.7× 320 1.9× 231 1.9× 57 1.4k
Zhenhua Wang China 21 407 0.9× 449 1.3× 114 0.7× 240 1.4× 121 1.0× 59 1.2k

Countries citing papers authored by David J. Munch

Since Specialization
Citations

This map shows the geographic impact of David J. Munch'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. Munch 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. Munch more than expected).

Fields of papers citing papers by David J. Munch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Munch. A scholar is included among the top collaborators of David J. Munch 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. Munch. David J. Munch 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.
2.
Pepich, Barry V., et al.. (2007). An improved colorimetric method for chlorine dioxide and chlorite ion in drinking water using lissamine green B and horseradish peroxidase. Analytica Chimica Acta. 596(1). 37–45. 12 indexed citations
3.
Martin, John J., et al.. (2007). A New Approach to Drinking-Water-Quality Data: Lowest-Concentration Minimum Reporting Level. Environmental Science & Technology. 41(3). 677–681. 19 indexed citations
4.
Wagner, Herbert P., Barry V. Pepich, Christopher A. Pohl, et al.. (2007). Selective method for the analysis of perchlorate in drinking waters at nanogram per liter levels, using two-dimensional ion chromatography with suppressed conductivity detection. Journal of Chromatography A. 1155(1). 15–21. 53 indexed citations
5.
Wagner, Herbert P., Barry V. Pepich, Christopher A. Pohl, et al.. (2006). US Environmental Protection Agency Method 314.1, an automated sample preconcentration/matrix elimination suppressed conductivity method for the analysis of trace levels (0.50μg/L) of perchlorate in drinking water. Journal of Chromatography A. 1118(1). 85–93. 22 indexed citations
6.
Coleman, David E., et al.. (2006). Perchlorate in water via US Environmental Protection Agency Method 331. Journal of Chromatography A. 1118(1). 94–99. 25 indexed citations
7.
Pepich, Barry V., et al.. (2005). Statistical Procedures for Determination and Verification of Minimum Reporting Levels for Drinking Water Methods. Environmental Science & Technology. 40(1). 281–288. 39 indexed citations
8.
Yang, Min J., et al.. (2005). Impact of methanol and acetonitrile on separations based on π–π interactions with a reversed-phase phenyl column. Journal of Chromatography A. 1097(1-2). 124–129. 114 indexed citations
9.
Munch, David J., et al.. (2004). Measurement of perchlorate in water by use of an -enriched isotopic standard and ion chromatography with mass spectrometric detection. Journal of Chromatography A. 1039(1-2). 83–88. 15 indexed citations
10.
Pepich, Barry V., et al.. (2004). Optimizing the determination of haloacetic acids in drinking waters. Journal of Chromatography A. 1035(1). 9–16. 33 indexed citations
11.
12.
Wagner, Herbert P., et al.. (2004). Challenges encountered in extending the sensitivity of US Environmental Protection Agency Method 314.0 for perchlorate in drinking water. Journal of Chromatography A. 1039(1-2). 97–104. 23 indexed citations
13.
Pepich, Barry V., et al.. (2003). Improvements to EPA Method 531.1 for the Analysis of Carbamates that Resulted in the Development of U.S. EPA Method 531.2. Journal of Chromatographic Science. 41(2). 100–106. 6 indexed citations
14.
Wagner, Herbert P., Barry V. Pepich, Daniel P. Hautman, & David J. Munch. (2002). US Environmental Protection Agency Method 326.0, a new method for monitoring inorganic oxyhalides and optimization of the postcolumn derivatization for the selective determination of trace levels of bromate. Journal of Chromatography A. 956(1-2). 93–101. 27 indexed citations
15.
Pepich, Barry V., et al.. (2002). The Application of Tris Buffer and Copper Sulfate for the Preservation of Phenylurea Pesticides Analyzed Using U.S. EPA Method 532 in the UCMR Survey. Environmental Science & Technology. 36(8). 1809–1814. 7 indexed citations
16.
17.
18.
Pepich, Barry V., et al.. (2001). Microbial Inhibitors for U.S. EPA Drinking Water Methods for the Determination of Organic Compounds. Environmental Science & Technology. 35(20). 4103–4110. 25 indexed citations
19.
Wagner, Herbert P., Barry V. Pepich, Daniel P. Hautman, & David J. Munch. (2000). Performance evaluation of a method for the determination of bromate in drinking water by ion chromatography (EPA Method 317.0) and validation of EPA Method 324.0. Journal of Chromatography A. 884(1-2). 201–210. 30 indexed citations
20.
Wagner, Herbert P., Barry V. Pepich, Daniel P. Hautman, & David J. Munch. (2000). Eliminating the chlorite interference in US Environmental Protection Agency Method 317.0 permits analysis of trace bromate levels in all drinking water matrices. Journal of Chromatography A. 882(1-2). 309–319. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rajmund Michalski Breakdown of academic impact, for papers by A. Roig Breakdown of academic impact, for papers by Isabel Turnes-Carou Breakdown of academic impact, for papers by Wang‐Hsien Ding Breakdown of academic impact, for papers by M. Gallego Breakdown of academic impact, for papers by A. Hamza Breakdown of academic impact, for papers by Alfredo Rubio Díaz Breakdown of academic impact, for papers by William M. Draper Breakdown of academic impact, for papers by Murad I.H. Helaleh Breakdown of academic impact, for papers by Zhenhua Wang
Rankless by CCL
2026