N.A. Jnanesh

433 total citations
10 papers, 347 citations indexed

About

N.A. Jnanesh is a scholar working on Management Information Systems, Strategy and Management and Medical Laboratory Technology. According to data from OpenAlex, N.A. Jnanesh has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 7 papers in Strategy and Management and 5 papers in Medical Laboratory Technology. Recurrent topics in N.A. Jnanesh's work include Quality and Supply Management (8 papers), Quality and Management Systems (7 papers) and Quality and Safety in Healthcare (5 papers). N.A. Jnanesh is often cited by papers focused on Quality and Supply Management (8 papers), Quality and Management Systems (7 papers) and Quality and Safety in Healthcare (5 papers). N.A. Jnanesh collaborates with scholars based in India. N.A. Jnanesh's co-authors include Shreeranga Bhat, E.V. Gijo and P J Antony and has published in prestigious journals such as International Journal of Productivity and Performance Management, International Journal of Lean Six Sigma and International Journal of Six Sigma and Competitive Advantage.

In The Last Decade

N.A. Jnanesh

10 papers receiving 309 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N.A. Jnanesh India	6	263	167	82	65	47	10	347
Mehmet Tolga Taner Türkiye	10	183 0.7×	107 0.6×	67 0.8×	71 1.1×	65 1.4×	33	479
Antonio Freitas Rentes Brazil	7	324 1.2×	164 1.0×	44 0.5×	42 0.6×	109 2.3×	14	437
Michael Ballé France	8	201 0.8×	132 0.8×	22 0.3×	54 0.8×	47 1.0×	16	263
Erik Drotz Sweden	4	233 0.9×	144 0.9×	29 0.4×	89 1.4×	34 0.7×	4	334
Johny Scaria India	8	192 0.7×	142 0.9×	48 0.6×	15 0.2×	48 1.0×	13	357
Angelo Rosa Italy	9	126 0.5×	80 0.5×	28 0.3×	38 0.6×	16 0.3×	32	214
Mario Alessandro Russo Italy	5	77 0.3×	46 0.3×	45 0.5×	62 1.0×	39 0.8×	9	301
Ann Esain United Kingdom	9	239 0.9×	187 1.1×	14 0.2×	40 0.6×	81 1.7×	16	357
John R. Grout United States	9	163 0.6×	112 0.7×	23 0.3×	17 0.3×	45 1.0×	13	320
Benjamin Kemper Netherlands	11	151 0.6×	65 0.4×	15 0.2×	16 0.2×	70 1.5×	21	296

Countries citing papers authored by N.A. Jnanesh

Since Specialization

Citations

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

Fields of papers citing papers by N.A. Jnanesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.A. Jnanesh. 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 N.A. Jnanesh. The network helps show where N.A. Jnanesh may publish in the future.

Co-authorship network of co-authors of N.A. Jnanesh

This figure shows the co-authorship network connecting the top 25 collaborators of N.A. Jnanesh. A scholar is included among the top collaborators of N.A. Jnanesh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N.A. Jnanesh. N.A. Jnanesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Antony, P J, et al.. (2018). Machine learning approach for flexural characterization of smart material. Journal of Physics Conference Series. 1142. 12007–12007. 3 indexed citations

2.

Bhat, Shreeranga, et al.. (2016). Enhancing the Performace of an Automobile Service Industry: Lean Thinking Approach. 6. 40–48. 5 indexed citations

3.

Bhat, Shreeranga, et al.. (2016). Process and Productivity Improvement through Six Sigma: A Case Study at Production Industry. 6. 32–39. 4 indexed citations

4.

Antony, P J, et al.. (2016). Data mining and machine learning approaches on engineering materials — A review. 69–73. 11 indexed citations

5.

Bhat, Shreeranga, et al.. (2015). Application of Operations Research Technique to Improve the Performance of the HID of a Hospital. 5. 81–83. 3 indexed citations

6.

Bhat, Shreeranga, E.V. Gijo, & N.A. Jnanesh. (2015). Productivity and performance improvement in the medical records department of a hospital. International Journal of Productivity and Performance Management. 65(1). 98–125. 70 indexed citations

7.

Gijo, E.V., Shreeranga Bhat, & N.A. Jnanesh. (2014). Application of Six Sigma methodology in a small-scale foundry industry. International Journal of Lean Six Sigma. 5(2). 193–211. 47 indexed citations

8.

Bhat, Shreeranga & N.A. Jnanesh. (2014). Application of Lean Six Sigma methodology to reduce the cycle time of out-patient department service in a rural hospital. International Journal of Healthcare Technology and Management. 14(3). 222–222. 43 indexed citations

9.

Bhat, Shreeranga, E.V. Gijo, & N.A. Jnanesh. (2014). Application of Lean Six Sigma methodology in the registration process of a hospital. International Journal of Productivity and Performance Management. 63(5). 613–643. 139 indexed citations

10.

Bhat, Shreeranga & N.A. Jnanesh. (2013). Enhancing performance of the health information department of a hospital using lean Six Sigma methodology. International Journal of Six Sigma and Competitive Advantage. 8(1). 34–34. 22 indexed citations

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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