Benjamin E. Beckmann

481 citations
25 papers · 388 · h-index 10

Impact in

Papers in

Benjamin E. Beckmann

25 papers receiving 377 citations

Peers

Benjamin E. Beckmann
Comparison fields: 5 of 51
  • Artificial Intelligence 236
  • Industrial and Manufacturing Engineering 13
  • Biomedical Engineering 48
  • Mechanical Engineering 47
  • Genetics 30
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Citations per year

Countries citing papers authored by Benjamin E. Beckmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 16 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.

Border = papers with Benjamin E. Beckmann Line = papers co-authored together Benjamin E. Beckmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009141
2 201036
3 200832
4 201627
5 201021
6 201221
7 201116
8 200715
9 200712
10 200912
11 200710
12 20097
13 20086
14 20086
15 20166
16
Analytical Analysis of Data and Decision Fusion in Sensor Networks.
20043
17 20093
18 20143
19 20163
20 20082

About Benjamin E. Beckmann

Benjamin E. Beckmann is a scholar working on Artificial Intelligence, Aerospace Engineering, Industrial and Manufacturing Engineering, Sociology and Political Science and Mechanical Engineering, having authored 25 papers that have together received 388 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Evolutionary Game Theory and Cooperation (5 papers), Air Traffic Management and Optimization (4 papers), Bacterial biofilms and quorum sensing (3 papers), Modular Robots and Swarm Intelligence (3 papers), Cloud Computing and Resource Management (2 papers), Digital Transformation in Industry (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Artificial Intelligence (236 citations), Industrial and Manufacturing Engineering (13 citations), Biomedical Engineering (48 citations), Mechanical Engineering (47 citations) and Genetics (30 citations). Benjamin E. Beckmann has collaborated with scholars based in United States. Frequent co-authors include Charles Ofria, Philip K. McKinley, Jeff Clune, Robert T. Pennock, David B. Knoester, Betty H. C. Cheng, Andres J. Ramirez, Annarita Giani, Heather J. Goldsby and Christopher M. Waters. Their work appears in journals such as Computer, Artificial Life, Lecture notes in computer science, Procedia Manufacturing and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

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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