Daniel Anastasio

26 papers receiving 681 citations

Peers

Daniel Anastasio
Comparison fields: 5 of 72
  • Water Science and Technology 429
  • Chemical Health and Safety 11
  • Architecture 20
  • Computer Science Applications 68
  • Biomedical Engineering 442
Replace Dominique Bastoul with:
Dominique Bastoul France
Teodora Shuman United States
Gregory Mason United States
Zhongmin Li China
Yoshiaki Matsuzawa Japan
Rongrong Wang China
Mikel Garmendia Mujika Spain
Tong Zou China
Fiseha M. Guangul Oman
Hashimah Hashim Malaysia
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Citations per year

Countries citing papers authored by Daniel Anastasio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Anastasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Anastasio. 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 Daniel Anastasio. The network helps show where Daniel Anastasio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012367
2 2015167
3 201546
4 201720
5 201217
6 202011
7 20138
8 20207
9 20157
10 20197
11 20206
12 20206
13 20206
14
Teaching Mass Transfer and Filtration Using Crossflow Reverse Osmosis and Nanofiltration: An Experiment for the Undergraduate Unit Operations Lab.
20125
15 20154
16 20203
17 20222
18
Better Questions: A Learning Opportunity. IDEA Paper #71.
20182
19 20202
20
Technology in the Classroom: Transitioning Lab and Design to an All-Digital Workflow.
20131

About Daniel Anastasio

Daniel Anastasio is a scholar working on Radiological and Ultrasound Technology, Biomedical Engineering, Statistics, Probability and Uncertainty, Chemical Health and Safety and Media Technology, having authored 29 papers that have together received 701 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (10 papers), Risk and Safety Analysis (7 papers), Chemical Safety and Risk Management (6 papers), Membrane Separation Technologies (5 papers), Experimental Learning in Engineering (5 papers), Educational Games and Gamification (4 papers), Membrane-based Ion Separation Techniques (4 papers) and Engineering Education and Pedagogy (4 papers). The work is most often cited by research in Water Science and Technology (429 citations), Chemical Health and Safety (11 citations), Architecture (20 citations), Computer Science Applications (68 citations) and Biomedical Engineering (442 citations). Daniel Anastasio has collaborated with scholars based in United States, South Sudan and China. Frequent co-authors include Daniel Burkey, Jeffrey R. McCutcheon, Cheryl Bodnar, Adam Brady, Long D. Nghiem, Ngai Yin Yip, Nathan T. Hancock, Amy E. Childress, Robert L. McGinnis and Andrea Achilli. Their work appears in journals such as Chemical Engineering Education, Desalination, Education for Chemical Engineers, Journal of Engineering Education and Chemical Vapor Deposition.

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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