David M. Steiger

869 total citations
19 papers, 558 citations indexed

About

David M. Steiger is a scholar working on Artificial Intelligence, Management Information Systems and Strategy and Management. According to data from OpenAlex, David M. Steiger has authored 19 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Management Information Systems and 5 papers in Strategy and Management. Recurrent topics in David M. Steiger's work include Cognitive Science and Mapping (6 papers), Competitive and Knowledge Intelligence (5 papers) and Big Data and Business Intelligence (4 papers). David M. Steiger is often cited by papers focused on Cognitive Science and Mapping (6 papers), Competitive and Knowledge Intelligence (5 papers) and Big Data and Business Intelligence (4 papers). David M. Steiger collaborates with scholars based in United States. David M. Steiger's co-authors include Hamid Nemati, Richard T. Herschel, Lakshmi Iyer, Ramesh Sharda, Natalie M. Steiger, Nancy V. Phillips, Darwin Klingman, Warren Young, Ramayya Krishnan and Rema Padman and has published in prestigious journals such as Management Science, European Journal of Operational Research and Information Systems Research.

In The Last Decade

David M. Steiger

19 papers receiving 493 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David M. Steiger United States 11 180 159 147 130 90 19 558
Salvatore Belardo United States 15 110 0.6× 103 0.6× 68 0.5× 105 0.8× 111 1.2× 37 564
Gek Woo Tan United States 9 243 1.4× 167 1.1× 120 0.8× 87 0.7× 50 0.6× 12 765
Charles S. Osborn United States 6 327 1.8× 149 0.9× 126 0.9× 83 0.6× 28 0.3× 7 573
Paul N. Finlay United Kingdom 13 239 1.3× 133 0.8× 68 0.5× 113 0.9× 26 0.3× 34 572
Singh India 8 136 0.8× 153 1.0× 65 0.4× 75 0.6× 46 0.5× 20 491
Derek L. Nazareth United States 16 169 0.9× 70 0.4× 207 1.4× 69 0.5× 61 0.7× 60 757
Donald E. Harter United States 8 216 1.2× 126 0.8× 80 0.5× 111 0.9× 25 0.3× 12 754
George M. Wyner United States 10 416 2.3× 155 1.0× 152 1.0× 91 0.7× 45 0.5× 20 753
Philip Klahr United States 9 58 0.3× 170 1.1× 181 1.2× 84 0.6× 144 1.6× 34 557

Countries citing papers authored by David M. Steiger

Since Specialization
Citations

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

Fields of papers citing papers by David M. Steiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Steiger. 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 David M. Steiger. The network helps show where David M. Steiger may publish in the future.

Co-authorship network of co-authors of David M. Steiger

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

All Works

19 of 19 papers shown
1.
Steiger, David M.. (2010). Decision Support as Knowledge Creation. RePEc: Research Papers in Economics. 1(1). 29–47. 15 indexed citations
2.
Steiger, David M. & Natalie M. Steiger. (2009). Discovering a Decision Maker's Mental Model with Instance-Based Cognitive Mining: A Theoretical Justification and Implementation. Interdisciplinary Journal of Information Knowledge and Management. 4. 1. 5 indexed citations
3.
Steiger, David M.. (2009). Enhancing Knowledge Integration: An Information System Capstone Project. Journal of the Association for Information Systems. 20(1). 17–24. 8 indexed citations
4.
Steiger, David M. & Natalie M. Steiger. (2009). Discovering a Decision Maker’s Mental Model with Instance-Based Cognitive Mining:. Interdisciplinary Journal of Information Knowledge and Management. 4. 1–22. 3 indexed citations
5.
Steiger, David M. & Natalie M. Steiger. (2008). Instance-based cognitive mapping: a process for discovering a knowledge worker's tacit mental model. Knowledge Management Research & Practice. 6(4). 312–321. 13 indexed citations
6.
Steiger, David M. & Natalie M. Steiger. (2007). Decision Support as Knowledge Creation: An Information System Design Theory. 15. 204a–204a. 4 indexed citations
7.
Steiger, Natalie M. & David M. Steiger. (2007). Knowledge Management in Decision Making: Instance-Based Cognitive Mapping. 1980. 54–54. 3 indexed citations
8.
Herschel, Richard T., Hamid Nemati, & David M. Steiger. (2003). Knowledge Exchange Protocols: A Second Study. Journal of Information & Knowledge Management. 2(2). 153–163. 2 indexed citations
9.
Nemati, Hamid, David M. Steiger, Lakshmi Iyer, & Richard T. Herschel. (2002). Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decision Support Systems. 33(2). 143–161. 252 indexed citations
10.
Herschel, Richard T., Hamid Nemati, & David M. Steiger. (2001). Tacit to explicit knowledge conversion: knowledge exchange protocols. Journal of Knowledge Management. 5(1). 107–116. 106 indexed citations
11.
Steiger, David M.. (1998). Enhancing User Understanding in a Decision Support System: A Theoretical Basis and Framework. Journal of Management Information Systems. 15(2). 199–220. 39 indexed citations
12.
Steiger, David M. & Ramesh Sharda. (1996). Analyzing mathematical models with inductive learning networks. European Journal of Operational Research. 93(2). 387–401. 7 indexed citations
13.
Sharda, Ramesh & David M. Steiger. (1996). Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems. Information Systems Research. 7(3). 328–341. 23 indexed citations
14.
Steiger, David M., et al.. (1993). Graphical Interfaces for Network Modeling: A Model Management System Perspective. INFORMS Journal on Computing. 5(3). 275–291. 14 indexed citations
15.
Steiger, David M. & Ramesh Sharda. (1993). LP modeling languages for personal computers: A comparison. Annals of Operations Research. 43(3). 195–216. 10 indexed citations
16.
Gilgen, Hans & David M. Steiger. (1992). The BSRN database. 307–326. 2 indexed citations
17.
Klingman, Darwin, Nancy V. Phillips, David M. Steiger, & Warren Young. (1987). The Successful Deployment of Management Science Throughout Citgo Petroleum Corporation. INFORMS Journal on Applied Analytics. 17(1). 4–25. 14 indexed citations
18.
Klingman, Darwin, et al.. (1987). An Optimization Based Integrated Short-Term Refined Petroleum Product Planning System. Management Science. 33(7). 813–830. 24 indexed citations
19.
Klingman, Darwin, et al.. (1986). The Challenges and Success Factors in Implementing an Integrated Products Planning System for Citgo. INFORMS Journal on Applied Analytics. 16(3). 1–19. 14 indexed citations

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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