Edward J. Barkmeyer

51 total papers · 602 total citations
18 papers, 286 citations indexed

About

Edward J. Barkmeyer is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Edward J. Barkmeyer has authored 18 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 6 papers in Management Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Edward J. Barkmeyer's work include Scheduling and Optimization Algorithms (6 papers), Manufacturing Process and Optimization (6 papers) and Business Process Modeling and Analysis (5 papers). Edward J. Barkmeyer is often cited by papers focused on Scheduling and Optimization Algorithms (6 papers), Manufacturing Process and Optimization (6 papers) and Business Process Modeling and Analysis (5 papers). Edward J. Barkmeyer collaborates with scholars based in United States, Egypt and Serbia. Edward J. Barkmeyer's co-authors include Charles R. McLean, Glenn R. Thompson, Chin‐Wan Chung, Marjorie Templeton, Stephen Fox, Wayne J. Davis, Albert Jones, James S. Albus, Joshua Lubell and Vishu Krishnamurthy and has published in prestigious journals such as ACM Computing Surveys, International Journal of Computer Integrated Manufacturing and IEEE Spectrum.

In The Last Decade

Edward J. Barkmeyer

16 papers receiving 247 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Edward J. Barkmeyer 144 91 82 60 59 18 286
Y. V. Ramana Reddy 103 0.7× 48 0.5× 106 1.3× 57 0.9× 38 0.6× 33 270
Lakshmi Rajamani 74 0.5× 59 0.6× 79 1.0× 103 1.7× 20 0.3× 34 281
Eva Maia 118 0.8× 102 1.1× 89 1.1× 44 0.7× 60 1.0× 23 293
Dilip Kotak 46 0.3× 112 1.2× 65 0.8× 34 0.6× 24 0.4× 26 289
Ivan Ruchkin 75 0.5× 48 0.5× 102 1.2× 58 1.0× 15 0.3× 28 248
D. Janaki Ram 115 0.8× 62 0.7× 107 1.3× 83 1.4× 11 0.2× 32 283
J. S. Riordon 234 1.6× 20 0.2× 60 0.7× 58 1.0× 70 1.2× 28 314
Moises Sudit 111 0.8× 61 0.7× 56 0.7× 77 1.3× 41 0.7× 19 245
Christophe Dousson 148 1.0× 19 0.2× 182 2.2× 55 0.9× 61 1.0× 11 319
Mubashar Iqbal 60 0.4× 46 0.5× 90 1.1× 149 2.5× 21 0.4× 21 295

Countries citing papers authored by Edward J. Barkmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Barkmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward J. Barkmeyer. 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 Edward J. Barkmeyer. The network helps show where Edward J. Barkmeyer may publish in the future.

Co-authorship network of co-authors of Edward J. Barkmeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Barkmeyer. A scholar is included among the top collaborators of Edward J. Barkmeyer 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 Edward J. Barkmeyer. Edward J. Barkmeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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