Benjamin E. Beckmann
Impact in
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Advanced Software Engineering Methodologies
- Metaheuristic Optimization Algorithms Research
Papers in
-
- Evolutionary Algorithms and Applications 7
- Advanced Software Engineering Methodologies 3
- Genetics 7
- Evolution and Genetic Dynamics 5
- Co-authors
- Charles Ofria (7 shared papers)Philip K. McKinley (14 shared papers)Jeff Clune (2 shared papers)Robert T. Pennock (1 shared paper)David B. Knoester (4 shared papers)Betty H. C. Cheng (2 shared papers)Andres J. Ramirez (1 shared paper)Heather J. Goldsby (1 shared paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Benjamin E. Beckmann
19 papers receiving 272 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 161
- Software 12
- Genetics 52
- Mechanical Engineering 52
- Computational Theory and Mathematics 20
Countries citing papers authored by Benjamin E. Beckmann
This map shows the geographic impact of Benjamin E. Beckmann'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 Benjamin E. Beckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin E. Beckmann more than expected).
Fields of papers citing papers by Benjamin E. Beckmann
This network shows the impact of papers produced by Benjamin E. Beckmann. 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 Benjamin E. Beckmann. The network helps show where Benjamin E. Beckmann may publish in the future.
Co-authors
The 15 scholars most cited alongside Benjamin E. Beckmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 110 | |
| 2 | 2010 | 31 | |
| 3 | 2008 | 29 | |
| 4 | 2016 | 23 | |
| 5 | 2010 | 19 | |
| 6 | 2012 | 17 | |
| 7 | 2009 | 12 | |
| 8 | 2007 | 10 | |
| 9 | 2008 | 6 | |
| 10 | 2008 | 5 | |
| 11 | 2009 | 5 | |
| 12 | 2009 | 3 | |
| 13 | 2014 | 3 | |
| 14 | Analytical Analysis of Data and Decision Fusion in Sensor Networks. | 2004 | 2 |
| 15 | 2013 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2008 | 1 | |
| 18 | Evolving cooperative, energy-conserving, agent-base systems | 2010 | 1 |
| 19 | 2013 | 1 | |
| 20 | 2010 | 0 |
About Benjamin E. Beckmann
Benjamin E. Beckmann is a scholar working on Artificial Intelligence, Genetics, Sociology and Political Science, Biomedical Engineering and Computer Networks and Communications, having authored 20 papers that have together received 280 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (7 papers), Evolution and Genetic Dynamics (5 papers), Evolutionary Game Theory and Cooperation (5 papers), Advanced Software Engineering Methodologies (3 papers), Modular Robots and Swarm Intelligence (3 papers), Bacterial biofilms and quorum sensing (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Artificial Intelligence (161 citations), Software (12 citations), Genetics (52 citations), Mechanical Engineering (52 citations) and Computational Theory and Mathematics (20 citations). Benjamin E. Beckmann has collaborated with scholars based in United States and Israel. Frequent co-authors include Charles Ofria, Philip K. McKinley, Jeff Clune, Robert T. Pennock, David B. Knoester, Betty H. C. Cheng, Andres J. Ramirez, Heather J. Goldsby, Joseph J. Salvo and Annarita Giani. Their work appears in journals such as Artificial Life, Computer and Procedia Manufacturing.
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.