E.V. Gijo

57 papers receiving 1.6k citations

Peers

E.V. Gijo
Comparison fields: 5 of 108
  • Management Information Systems 1.3k
  • Medical Laboratory Technology 206
  • Strategy and Management 924
  • Industrial and Manufacturing Engineering 310
  • Health Information Management 115
Replace Jeroen de Mast with:
Jeroen de Mast Netherlands
Richard Greatbanks New Zealand
Ricardo Bañuelas United Kingdom
Shreeranga Bhat India
Chris Hicks United Kingdom
Durward K. Sobek United States
Rajeev Rathi India
Premaratne Samaranayake Australia
Carlo Rafele Italy
Olivia McDermott Ireland
E.V. Gijo relative to Jeroen de Mast Netherlands Jeroen de Mast's profile →
Citations per field
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Jeroen de Mast · 1×
Citations per year

Countries citing papers authored by E.V. Gijo

Since Specialization
Citations

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

Fields of papers citing papers by E.V. Gijo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.V. Gijo. 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 E.V. Gijo. The network helps show where E.V. Gijo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 2013135
3 2005119
4 2011103
5 201878
6 201174
7 201570
8 201663
9 201962
10 202060
11 201356
12 201353
13 202052
14 201850
15 201950
16 201447
17 201043
18 201436
19 202234
20 202129

About E.V. Gijo

E.V. Gijo is a scholar working on Management Information Systems, Strategy and Management, Management Science and Operations Research, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Quality and Supply Management (33 papers), Quality and Management Systems (18 papers), Quality and Safety in Healthcare (10 papers), Manufacturing Process and Optimization (10 papers), Advanced Statistical Process Monitoring (7 papers), Optimal Experimental Design Methods (7 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Supply Chain Resilience and Risk Management (4 papers). The work is most often cited by research in Management Information Systems (1.3k citations), Medical Laboratory Technology (206 citations), Strategy and Management (924 citations), Industrial and Manufacturing Engineering (310 citations) and Health Information Management (115 citations). E.V. Gijo has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include Jiju Antony, Shreeranga Bhat, Johny Scaria, N.A. Jnanesh, Vijaya Sunder M, Stephen J. Childe, José Luis Hernández, Bryan Rodgers, Sandeep Gupta and Elizabeth A. Cudney. Their work appears in journals such as The TQM Journal, International Journal of Quality & Reliability Management, International Journal of Productivity and Performance Management, Total Quality Management & Business Excellence 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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