Daniel R. Heiser

810 citations
10 papers · 570 · h-index 8

Impact in

Papers in

Daniel R. Heiser

10 papers receiving 521 citations

Peers

Daniel R. Heiser
Comparison fields: 5 of 67
  • Management Information Systems 272
  • Industrial and Manufacturing Engineering 198
  • Strategy and Management 219
  • Building and Construction 101
  • Marketing 51
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Daniel R. Heiser relative to Günter Prockl Denmark Günter Prockl's profile →
Citations per field
00.5×4.3×
Günter Prockl · 1×
Citations per year

Countries citing papers authored by Daniel R. Heiser

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Heiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel R. Heiser, 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 R. Heiser Line = papers co-authored together Daniel R. Heiser links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006194
2 2004118
3 201197
4 200580
5 201134
6 201221
7 200413
8 200410
9 20012
10
Using the Malcolm Baldrige National Award in teaching: One criteria, several perspectives
20051

About Daniel R. Heiser

Daniel R. Heiser is a scholar working on Management Information Systems, Strategy and Management, Information Systems, Management of Technology and Innovation and Management Science and Operations Research, having authored 10 papers that have together received 570 indexed citations. Recurring topics across this work include Quality and Supply Management (3 papers), Outsourcing and Supply Chain Management (3 papers), Optimization and Packing Problems (2 papers), Urban and Freight Transport Logistics (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Organizational Learning and Leadership (1 paper), Family Business Performance and Succession (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Management Information Systems (272 citations), Industrial and Manufacturing Engineering (198 citations), Strategy and Management (219 citations), Building and Construction (101 citations) and Marketing (51 citations). Daniel R. Heiser has collaborated with scholars based in United States. Frequent co-authors include Lori S. Cook, Kaushik Sengupta, Charles G. Petersen, Gerald R. Aase, James A. Belohlav, Bin Jiang, Patrick J. Murphy, Zhaohui Wu, Harold Welsch and Scott T. Young. Their work appears in journals such as International Journal of Physical Distribution & Logistics Management, International Journal of Operations & Production Management, Decision Sciences Journal of Innovative Education, Journal of Supply Chain Management and Journal of Education for Business.

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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