Daniel C. Steele

420 citations
14 papers · 302 · h-index 10

Impact in

Papers in

Daniel C. Steele

13 papers receiving 273 citations

Peers

Daniel C. Steele
Comparison fields: 5 of 56
  • Management Information Systems 140
  • Industrial and Manufacturing Engineering 83
  • Management Science and Operations Research 83
  • Strategy and Management 77
  • Management of Technology and Innovation 26
Replace Antti Tenhiälä with:
Antti Tenhiälä Spain
Rajesh Nellore United States
James A. Brimson
Jari Paranko
Jugraj Singh Randhawa India
John Meyer South Korea
Jordi Fortuny Santos Spain
Margaret Webster United Kingdom
Sílvio Roberto Ignácio Pires Brazil
Xinran Shen China
Daniel C. Steele relative to Antti Tenhiälä Spain Antti Tenhiälä's profile →
Citations per field
00.5×1.6×
Antti Tenhiälä · 1×
Citations per year

Countries citing papers authored by Daniel C. Steele

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Steele. 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 Daniel C. Steele. The network helps show where Daniel C. Steele may publish in the future.

Co-authors

The 16 scholars most cited alongside Daniel C. Steele, 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 Daniel C. Steele Line = papers co-authored together Daniel C. Steele links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 199457
2 199440
3 199438
4 199532
5 200932
6 200526
7 199520
8 199817
9 201110
10 199710
11 20119
12 20007
13 19914
14 19950

About Daniel C. Steele

Daniel C. Steele is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering, Strategy and Management, Management Science and Operations Research and Mechanical Engineering, having authored 14 papers that have together received 302 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (5 papers), Quality and Supply Management (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Operations Management Techniques (3 papers), Assembly Line Balancing Optimization (3 papers), Accounting and Organizational Management (3 papers), Innovation and Knowledge Management (2 papers) and Carbon Dioxide Capture Technologies (2 papers). The work is most often cited by research in Management Information Systems (140 citations), Industrial and Manufacturing Engineering (83 citations), Management Science and Operations Research (83 citations), Strategy and Management (77 citations) and Management of Technology and Innovation (26 citations). Daniel C. Steele has collaborated with scholars based in United States. Frequent co-authors include Manoj K. Malhotra, Timothy D. Fry, Varun Grover, Brooke A. Saladin, Patrick R. Philipoom, Stephen N. Chapman, William L. Berry, Gopala Krishnan, José Figueroa and Kevin O’Brien. Their work appears in journals such as Decision Sciences, International Journal of Production Research, International Journal of Operations & Production Management, The International Journal of Logistics Management and International Journal of Production Economics.

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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