D. Sculli

1.7k citations
73 papers · 1.3k · h-index 20

Impact in

Papers in

D. Sculli

70 papers receiving 1.2k citations

Peers

D. Sculli
Comparison fields: 5 of 91
  • Management Information Systems 533
  • Strategy and Management 430
  • Information Systems and Management 168
  • Industrial and Manufacturing Engineering 242
  • Management Science and Operations Research 222
Replace Stuart Chambers with:
Stuart Chambers United Kingdom
Arthur V. Hill United States
Charles L. Munson United States
Rana Tassabehji United Kingdom
Rajat Bhagwat India
Jason C.H. Chen United States
Uday Apte United States
Jerry C. Wei United States
Purnendu Mandal United States
H. James Harrington United States
D. Sculli relative to Stuart Chambers United Kingdom Stuart Chambers's profile →
Citations per field
00.5×7.8×
Stuart Chambers · 1×
Citations per year

Countries citing papers authored by D. Sculli

Since Specialization
Citations

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

Fields of papers citing papers by D. Sculli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Sculli, 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 D. Sculli Line = papers co-authored together D. Sculli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005109
2 2001106
3 1981100
4 200282
5 199056
6 201556
7 198352
8 200548
9 201347
10 198843
11 198135
12 198935
13 201035
14 198529
15 200524
16 200823
17 198722
18 201220
19 200119
20 199419

About D. Sculli

D. Sculli is a scholar working on Management Information Systems, Management Science and Operations Research, Strategy and Management, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quality and Supply Management (9 papers), Outsourcing and Supply Chain Management (8 papers), Scheduling and Optimization Algorithms (7 papers), Supply Chain and Inventory Management (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Resource-Constrained Project Scheduling (6 papers), Manufacturing Process and Optimization (4 papers) and Innovation and Knowledge Management (4 papers). The work is most often cited by research in Management Information Systems (533 citations), Strategy and Management (430 citations), Information Systems and Management (168 citations), Industrial and Manufacturing Engineering (242 citations) and Management Science and Operations Research (222 citations). D. Sculli has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Paul Humphreys, V.H.Y. Lo, LK Chu, Feng Wu, Fen Wu, Ting Qu, Jiajia Nie, Feng Wu, Yuhua Xu and Andy C.L. Yeung. Their work appears in journals such as Journal of the Operational Research Society, Omega, International Journal of Production Economics, Computers in Industry and Industrial Management & Data Systems.

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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