Sesh Murthy

460 citations
11 papers · 269 · h-index 8

Impact in

Papers in

Sesh Murthy

10 papers receiving 238 citations

Peers

Sesh Murthy
Comparison fields: 5 of 48
  • Industrial and Manufacturing Engineering 165
  • Management Information Systems 57
  • Management Science and Operations Research 51
  • Strategy and Management 26
  • Management of Technology and Innovation 12
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Sesh Murthy relative to Susumu Fujii Japan Susumu Fujii's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sesh Murthy

Since Specialization
Citations

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

Fields of papers citing papers by Sesh Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Sesh Murthy, 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 Sesh Murthy Line = papers co-authored together Sesh Murthy links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199698
2 200145
3 199935
4 200224
5 200124
6 199615
7
Intelligent Decision Support for the e-Supply Chain
199914
8
Multi machine scheduling: an agent-based approach
19987
9 20024
10 19972
11
Interactive Decision Support: Advantages of an Incomplete Utility Model
19981

About Sesh Murthy

Sesh Murthy is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Artificial Intelligence, Computer Networks and Communications and Strategy and Management, having authored 11 papers that have together received 269 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (7 papers), Optimization and Packing Problems (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Assembly Line Balancing Optimization (2 papers), Manufacturing Process and Optimization (2 papers), Vehicle Routing Optimization Methods (1 paper), Data Management and Algorithms (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (165 citations), Management Information Systems (57 citations), Management Science and Operations Research (51 citations), Strategy and Management (26 citations) and Management of Technology and Innovation (12 citations). Sesh Murthy has collaborated with scholars based in United States. Frequent co-authors include Rama Akkiraju, Frederick Y. Wu, Pınar Keskinocak, Richard Goodwin, Santhosh Kumaran, Sarosh Talukdar, Robert M. Fuhrer, Alok Aggarwal, James K. Yeh and Ram D. Sriram. Their work appears in journals such as INFORMS Journal on Applied Analytics, Journal of Heuristics, Artificial intelligence for engineering design analysis and manufacturing, Operations Research and IBM Journal of Research and Development.

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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