Michael De Rosa
Impact in
-
- Energy Efficient Wireless Sensor Networks
- Software System Performance and Reliability
- Mobile Ad Hoc Networks
- Opportunistic and Delay-Tolerant Networks
- Organic Chemistry top 10%
- Chemical Reaction Mechanisms
Papers in
-
- Chemical Reaction Mechanisms 15
- Organic Chemistry Cycloaddition Reactions 9
- Synthesis and Reactions of Organic Compounds 9
- Synthesis and Characterization of Pyrroles 9
-
- Modular Robots and Swarm Intelligence 12
- Co-authors
- Daniela Rus (2 shared papers)Qun Li (1 shared paper)Seth Copen Goldstein (10 shared papers)Jason Campbell (9 shared papers)Padmanabhan Pillai (9 shared papers)Peter Lee (8 shared papers)Manuel Márquez (6 shared papers)Elie Krevat (1 shared paper)
- Journals
- The Journal of Organic Chemistry (12 papers)Tetrahedron Letters (7 papers)The Analyst (2 papers)Tetrahedron (1 paper)AI Magazine (1 paper)
- Partner nations
- United StatesUnited KingdomVenezuela
In The Last Decade
Michael De Rosa
61 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 511
- Organic Chemistry 320
- Pharmaceutical Science 61
- Ocean Engineering 133
- Software 27
Countries citing papers authored by Michael De Rosa
This map shows the geographic impact of Michael De Rosa'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 Michael De Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael De Rosa more than expected).
Fields of papers citing papers by Michael De Rosa
This network shows the impact of papers produced by Michael De Rosa. 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 Michael De Rosa. The network helps show where Michael De Rosa may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael De Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 230 | |
| 2 | 2011 | 130 | |
| 3 | 2003 | 120 | |
| 4 | 1998 | 44 | |
| 5 | 2006 | 42 | |
| 6 | 2008 | 39 | |
| 7 | 2008 | 34 | |
| 8 | 1995 | 25 | |
| 9 | 2008 | 24 | |
| 10 | 1978 | 24 | |
| 11 | 1989 | 19 | |
| 12 | 1999 | 18 | |
| 13 | 1982 | 17 | |
| 14 | 1981 | 15 | |
| 15 | 2013 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 1984 | 13 | |
| 18 | 2009 | 12 | |
| 19 | 1981 | 12 | |
| 20 | 2015 | 11 |
About Michael De Rosa
Michael De Rosa is a scholar working on Organic Chemistry, Mechanical Engineering, Materials Chemistry, Computer Networks and Communications and Pharmaceutical Science, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chemical Reaction Mechanisms (15 papers), Modular Robots and Swarm Intelligence (12 papers), Porphyrin and Phthalocyanine Chemistry (11 papers), Organic Chemistry Cycloaddition Reactions (9 papers), Synthesis and Reactions of Organic Compounds (9 papers), Synthesis and Characterization of Pyrroles (9 papers), Fluorine in Organic Chemistry (7 papers) and Distributed systems and fault tolerance (7 papers). The work is most often cited by research in Computer Networks and Communications (511 citations), Organic Chemistry (320 citations), Pharmaceutical Science (61 citations), Ocean Engineering (133 citations) and Software (27 citations). Michael De Rosa has collaborated with scholars based in United States, United Kingdom and Venezuela. Frequent co-authors include Daniela Rus, Qun Li, Qun Li, Seth Copen Goldstein, Jason Campbell, Padmanabhan Pillai, Peter Lee, Manuel Márquez, Elie Krevat and Gregory R. Ganger. Their work appears in journals such as The Journal of Organic Chemistry, Tetrahedron Letters, The Analyst, Tetrahedron and AI Magazine.
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.