Kumar Bhaskaran

543 citations
11 papers · 351 · h-index 7

Impact in

Papers in

Kumar Bhaskaran

11 papers receiving 321 citations

Peers

Kumar Bhaskaran
Comparison fields: 5 of 42
  • Industrial and Manufacturing Engineering 234
  • Management Information Systems 82
  • Computer Networks and Communications 89
  • Information Systems 73
  • Artificial Intelligence 86
Replace Yuji Kyoya with:
Yuji Kyoya Japan
Jürgen Bock Germany
Santhosh Kumaran United States
Guillermo Jiménez Mexico
Bernhard G. Humm Germany
Alexandra Mazak Austria
Albert D. Baker United States
Larry M. Stephens United States
Cipriano Santos United States
Ja-Hee Kim South Korea
Kumar Bhaskaran relative to Yuji Kyoya Japan Yuji Kyoya's profile →
Citations per field
00.5×11×
Yuji Kyoya · 1×
Citations per year

Countries citing papers authored by Kumar Bhaskaran

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Bhaskaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1997209
2 201846
3 199027
4 200121
5 200716
6 199713
7 19909
8 20064
9 20054
10
Web Services Gateway: The Building Block for Business Connections and Dynamic e-Business.
20021
11 20231

About Kumar Bhaskaran

Kumar Bhaskaran is a scholar working on Information Systems, Management Information Systems, Industrial and Manufacturing Engineering, Computer Networks and Communications and Marketing, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (4 papers), Business Process Modeling and Analysis (4 papers), Scheduling and Optimization Algorithms (3 papers), Advanced Database Systems and Queries (2 papers), Optimization and Packing Problems (1 paper), Semantic Web and Ontologies (1 paper), Cloud Computing and Resource Management (1 paper) and Advanced Manufacturing and Logistics Optimization (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (234 citations), Management Information Systems (82 citations), Computer Networks and Communications (89 citations), Information Systems (73 citations) and Artificial Intelligence (86 citations). Kumar Bhaskaran has collaborated with scholars based in United States, South Korea and Finland. Frequent co-authors include Young Hoon Lee, Michael Pinedo, Raja Das, Ying Tat Leung, Charles J. Malmborg, Karthik Nandakumar, Chun Hui Suen, Praveen Jayachandran, Christian Vecchiola and Fabian Lim. Their work appears in journals such as Journal of the Association for Information Systems, Sadhana, International Journal of Production Research, Applied Mathematical Modelling and International Journal of Electronic Business.

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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