Richard L. Daniels

2.6k citations
38 papers · 2.0k indexed · h-index 22

Richard L. Daniels

38 papers receiving 1.8k citations

Peers

Richard L. Daniels
Comparison fields: 5 of 126
  • Industrial and Manufacturing Engineering 1.1k
  • Sensory Systems 403
  • Management Information Systems 227
  • Management Science and Operations Research 247
  • Management of Technology and Innovation 109
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Citations per field
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Citations per year

Countries citing papers authored by Richard L. Daniels

Since Specialization
Citations

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

Fields of papers citing papers by Richard L. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard L. Daniels. 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 Richard L. Daniels. The network helps show where Richard L. Daniels may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Richard L. Daniels, 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 Richard L. Daniels Line = papers co-authored together Richard L. Daniels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20216
2 201820
3 201710
4 2011160
5
Design and construction of a two-temperature preference behavioral assay for undergraduate neuroscience laboratories.
20102
6 2008121
7 2007164
8 20057
9 200453
10 200139
11
20001
12 199729
13 199662
14 199463
15 19924
16 199086
17 199037
18
Joint sequencing/resource-allocation scheduling with multiple performance measures
19862
19 1986115
20 19672

About Richard L. Daniels

Richard L. Daniels is a scholar working on Industrial and Manufacturing Engineering, General Decision Sciences and Sensory Systems, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (17 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Assembly Line Balancing Optimization (10 papers), Optimization and Packing Problems (7 papers), Neurobiology and Insect Physiology Research (5 papers), Optimization and Search Problems (4 papers), Ion Channels and Receptors (4 papers) and Supply Chain and Inventory Management (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.1k citations), Sensory Systems (403 citations) and Management Information Systems (227 citations). Richard L. Daniels has collaborated with scholars based in United States and France. Frequent co-authors include Panos Kouvelis, David D. McKemy, Joseph B. Mazzola, Yoshio Takashima, Wendy Knowlton, George Vairaktarakis, Janice E. Carrillo, Robert Chambers, Rosser T. Nelson and Rakesh K. Sarin. Their work appears in journals such as Management Science, European Journal of Operational Research, American Educational Research Journal, Annals of Operations Research and Journal of Risk and Uncertainty.

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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