John M. Pisciotta
- Environmental Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Renewable Energy, Sustainability and the Environment top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Ilia V. BaskakovYongjin ZouBruce E. LoganDavid SullivanVladimir ShulaevJoel L. ShumanR. Blake BillmyreJustin C. Tokash
- Topics
- Microbial Fuel Cells and Bioremediation (9 papers)Electrochemical sensors and biosensors (7 papers)Mosquito-borne diseases and control (5 papers)
- Cited by
- Environmental EngineeringRenewable Energy, Sustainability and the EnvironmentElectrochemistry
- Partner nations
- United States
In The Last Decade
John M. Pisciotta
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Environmental Engineering 742
- Electrical and Electronic Engineering 442
- Molecular Biology 321
- Renewable Energy, Sustainability and the Environment 264
- Public Health, Environmental and Occupational Health 228
Countries citing papers authored by John M. Pisciotta
This map shows the geographic impact of John M. Pisciotta'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 John M. Pisciotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Pisciotta more than expected).
Fields of papers citing papers by John M. Pisciotta
This network shows the impact of papers produced by John M. Pisciotta. 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 John M. Pisciotta. The network helps show where John M. Pisciotta may publish in the future.
Co-authorship network of co-authors of John M. Pisciotta
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Pisciotta. A scholar is included among the top collaborators of John M. Pisciotta 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 John M. Pisciotta. John M. Pisciotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 21 | |
| 3 | 15 | |
| 4 | 53 | |
| 5 | 126 | |
| 6 | 147 | |
| 7 | 73 | |
| 8 | 185 | |
| 9 | 86 | |
| 10 | 155 | |
| 11 | 134 | |
| 12 | 33 | |
| 13 | 166 | |
| 14 | 53 | |
| 15 | 34 | |
| 16 | 19 | |
| 17 | 24 | |
| 18 | 73 |
About John M. Pisciotta
John M. Pisciotta is a scholar working on Environmental Engineering, Virology and Pollution, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Fuel Cells and Bioremediation (9 papers), Electrochemical sensors and biosensors (7 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Environmental Engineering (742 citations), Renewable Energy, Sustainability and the Environment (264 citations) and Electrochemistry (93 citations). John M. Pisciotta has collaborated with scholars based in United States. Frequent co-authors include Ilia V. Baskakov, Yongjin Zou, Bruce E. Logan, David Sullivan, Vladimir Shulaev, Joel L. Shuman, R. Blake Billmyre, Justin C. Tokash, Joo-Youn Nam and Douglas F. Call. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.
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.