Fatma Pakdil

45 papers receiving 1.1k citations

Peers

Fatma Pakdil
Comparison fields: 5 of 103
  • Organizational Behavior and Human Resource Management 428
  • Management Information Systems 383
  • Strategy and Management 349
  • Marketing 194
  • Management of Technology and Innovation 131
Replace Angelos Pantouvakis with:
Angelos Pantouvakis Greece
Sunil Babbar United States
Janelle Heineke United States
Mark M. Davis United States
Sriram Dasu United States
Michael A. Lapré United States
Winter Nie United States
Gérson Tontini Brazil
Dennis F.X. Mathaisel United States
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Fatma Pakdil relative to Angelos Pantouvakis Greece Angelos Pantouvakis's profile →
Citations per field
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Angelos Pantouvakis · 1×
Citations per year

Countries citing papers authored by Fatma Pakdil

Since Specialization
Citations

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

Fields of papers citing papers by Fatma Pakdil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma Pakdil. 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 Fatma Pakdil. The network helps show where Fatma Pakdil may publish in the future.

Co-authors

The 21 scholars most cited alongside Fatma Pakdil, 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 Fatma Pakdil Line = papers co-authored together Fatma Pakdil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007256
2 2004189
3 2014155
4 2015106
5 201667
6 200941
7 201239
8 202026
9 201425
10 201525
11 201222
12 200821
13 202117
14 201617
15 201816
16 201112
17 201812
18 202111
19 201110
20 200910

About Fatma Pakdil

Fatma Pakdil is a scholar working on Management Information Systems, Management Science and Operations Research, Statistics, Probability and Uncertainty, Strategy and Management and Organizational Behavior and Human Resource Management, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quality and Supply Management (18 papers), Advanced Statistical Process Monitoring (9 papers), Quality Function Deployment in Product Design (8 papers), Customer Service Quality and Loyalty (8 papers), Quality and Management Systems (7 papers), Multi-Criteria Decision Making (6 papers), Manufacturing Process and Optimization (5 papers) and Operations Management Techniques (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (428 citations), Management Information Systems (383 citations), Strategy and Management (349 citations), Marketing (194 citations) and Management of Technology and Innovation (131 citations). Fatma Pakdil has collaborated with scholars based in United States, Türkiye and Lithuania. Frequent co-authors include Karen Moustafa Leonard, Özlem Aydın, Timothy N. Harwood, Gülin Feryal Can, James R. Van Scotter, Barış Şimşek, Berna Dengiz, Murat Caner Testik, Fadel M. Megahed and Yusuf Tansel İç. Their work appears in journals such as Total Quality Management & Business Excellence, International Journal of Production Research, Journal of Manufacturing Technology Management, Journal of Air Transport Management and International Journal of Lean Six Sigma.

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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