Jamison V. Kovach

49 papers receiving 476 citations

Peers

Jamison V. Kovach
Comparison fields: 5 of 87
  • Statistics, Probability and Uncertainty 130
  • Management Information Systems 160
  • Management Science and Operations Research 212
  • Medical Laboratory Technology 17
  • Industrial and Manufacturing Engineering 93
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Countries citing papers authored by Jamison V. Kovach

Since Specialization
Citations

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

Fields of papers citing papers by Jamison V. Kovach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamison V. Kovach. 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 Jamison V. Kovach. The network helps show where Jamison V. Kovach may publish in the future.

Co-authors

The 22 scholars most cited alongside Jamison V. Kovach, 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 Jamison V. Kovach Line = papers co-authored together Jamison V. Kovach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201457
2 200840
3 201536
4 201025
5 200825
6 200621
7 201820
8 197019
9 200817
10 200616
11 201813
12 200912
13 200712
14 200812
15 201912
16 201812
17 201312
18 200911
19 200811
20
Exploring Quality Initiatives' Success and Failure
20128

About Jamison V. Kovach

Jamison V. Kovach is a scholar working on Management Science and Operations Research, Management Information Systems, Strategy and Management, Management of Technology and Innovation and Computational Theory and Mathematics, having authored 52 papers that have together received 501 indexed citations. Recurring topics across this work include Quality and Supply Management (14 papers), Optimal Experimental Design Methods (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (6 papers), Quality Function Deployment in Product Design (6 papers), Quality and Management Systems (5 papers), Product Development and Customization (5 papers) and Innovation and Knowledge Management (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (130 citations), Management Information Systems (160 citations), Management Science and Operations Research (212 citations), Medical Laboratory Technology (17 citations) and Industrial and Manufacturing Engineering (93 citations). Jamison V. Kovach has collaborated with scholars based in United States, Lebanon and United Kingdom. Frequent co-authors include Byung Rae Cho, Lawrence D. Fredendall, Mahmoud Awad, Jiju Antony, Holly M. Hutchins, Elizabeth A. Cudney, Cassandra C. Elrod, David Walker, Yongsun Choi and M. A. Ramos. Their work appears in journals such as International Journal of Six Sigma and Competitive Advantage, Quality Engineering, The International Journal of Advanced Manufacturing Technology, Quality and Reliability Engineering International and Organizational Dynamics.

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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