Devon A. Cancilla

25 papers receiving 959 citations

Peers

Devon A. Cancilla
Comparison fields: 5 of 111
  • Pollution 365
  • Health, Toxicology and Mutagenesis 416
  • Industrial and Manufacturing Engineering 142
  • Analytical Chemistry 129
  • Process Chemistry and Technology 36
Replace Yves Dudal with:
Yves Dudal France
Jeffrey W. Talley United States
Clinton D. Church United States
Walter J. Maier United States
Jordi Martín‐Alonso Spain
Anders J. Lawaetz Denmark
Pablo Campo United Kingdom
Manoj Schulz Germany
Merijn Schriks Netherlands
H. A. Painter United Kingdom
Devon A. Cancilla relative to Yves Dudal France Yves Dudal's profile →
Citations per field
00.5×4.0×
Yves Dudal · 1×
Citations per year

Countries citing papers authored by Devon A. Cancilla

Since Specialization
Citations

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

Fields of papers citing papers by Devon A. Cancilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989183
2 1998144
3 199790
4 199274
5 200670
6 200367
7 200366
8 200665
9 200346
10 200844
11 198943
12 200329
13 199628
14 200124
15 199218
16 200412
17 200611
18 19969
19 19966
20 20195

About Devon A. Cancilla

Devon A. Cancilla is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Analytical Chemistry, Environmental Chemistry and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Smart Materials for Construction (5 papers), Water Quality Monitoring and Analysis (4 papers), Advanced Chemical Sensor Technologies (4 papers), Analytical chemistry methods development (3 papers), Experimental Learning in Engineering (3 papers), Odor and Emission Control Technologies (3 papers), Environmental Chemistry and Analysis (3 papers) and Marine Biology and Environmental Chemistry (2 papers). The work is most often cited by research in Pollution (365 citations), Health, Toxicology and Mutagenesis (416 citations), Industrial and Manufacturing Engineering (142 citations), Analytical Chemistry (129 citations) and Process Chemistry and Technology (36 citations). Devon A. Cancilla has collaborated with scholars based in United States and Canada. Frequent co-authors include Minoru Koga, William H. Glaze, Steven R. Corsi, Shane S. Que Hee, Steven W. Geis, Luca Matassa, Kristopher McNeill, Amorah V. Nelson, James R. Vyvyan and Kathryn L. Van Alstyne. Their work appears in journals such as Environmental Science & Technology, Environmental Toxicology and Chemistry, Online Learning, Bulletin of Environmental Contamination and Toxicology and Journal of Chromatography A.

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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