Jaya Singhal

812 citations
27 papers · 593 indexed · h-index 11

Jaya Singhal

24 papers receiving 565 citations

Peers

Jaya Singhal
Comparison fields: 5 of 78
  • Management Information Systems 286
  • Strategy and Management 248
  • Management of Technology and Innovation 80
  • Industrial and Manufacturing Engineering 105
  • Management Science and Operations Research 124
Replace Sérgio Sousa with:
Sérgio Sousa Portugal
Andrew Graves United Kingdom
Alberto Grando Italy
Eero Eloranta Finland
Hussain Bux Marri Pakistan
Kevin Barber United Kingdom
Turan Erman Erkan Türkiye
Tonya Boone United States
Navee Chiadamrong Thailand
Gregory P. White United States
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Citations per field
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Citations per year

Countries citing papers authored by Jaya Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Jaya Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Jaya Singhal, 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 Jaya Singhal Line = papers co-authored together Jaya Singhal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20226
3 202210
4 20202
5 20209
6 201912
7 20160
8 201661
9 201153
10 201189
11 200657
12 200625
13 200584
14 200251
15 199736
16 19903
17 199010
18 198932
19 19863
20
FIXED ORDER BRANCH AND BOUND METHODS FOR MIXED-INTEGER PROGRAMMING.
19828

About Jaya Singhal

Jaya Singhal is a scholar working on Management Information Systems, Management of Technology and Innovation, Industrial and Manufacturing Engineering, Management Science and Operations Research and Strategy and Management, having authored 27 papers that have together received 593 indexed citations. Recurring topics across this work include Quality and Supply Management (6 papers), Supply Chain and Inventory Management (6 papers), Product Development and Customization (5 papers), Manufacturing Process and Optimization (3 papers), Optimization and Mathematical Programming (3 papers), Resource-Constrained Project Scheduling (2 papers), Advanced Queuing Theory Analysis (2 papers) and Sustainable Supply Chain Management (2 papers). The work is most often cited by research in Management Information Systems (286 citations), Strategy and Management (248 citations), Management of Technology and Innovation (80 citations), Industrial and Manufacturing Engineering (105 citations) and Management Science and Operations Research (124 citations). Jaya Singhal has collaborated with scholars based in United States. Frequent co-authors include Kalyan Singhal, Sunder Kekre, Aleda V. Roth, Christopher S. Tang, Thomas L. Morin, Roy E. Marsten, Joseph Katz, Martin K. Starr, Subodha Kumar and James K. Weeks. Their work appears in journals such as Production and Operations Management, Journal of Operations Management, Decision Sciences, Management Science and European Journal of Operational Research.

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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