Kripa Shanker

1.6k total citations
50 papers, 1.3k citations indexed

About

Kripa Shanker is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Strategy and Management. According to data from OpenAlex, Kripa Shanker has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Industrial and Manufacturing Engineering, 14 papers in Management Information Systems and 11 papers in Strategy and Management. Recurrent topics in Kripa Shanker's work include Advanced Manufacturing and Logistics Optimization (16 papers), Supply Chain and Inventory Management (12 papers) and Scheduling and Optimization Algorithms (10 papers). Kripa Shanker is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (16 papers), Supply Chain and Inventory Management (12 papers) and Scheduling and Optimization Algorithms (10 papers). Kripa Shanker collaborates with scholars based in India, Iran and Nepal. Kripa Shanker's co-authors include J.K. Jha, Sunil Agrawal, Sunil Rajotia, P. K. Basudhar, Nihar Ranjan Patra, Anil Kumar Agrawal, Neeraj Kumar, Thyagaraj S. Kuthambalayan, Santosh Kumar and G.K. Lal and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Kripa Shanker

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kripa Shanker India 19 715 454 312 112 86 50 1.3k
Chuda Basnet New Zealand 13 272 0.4× 307 0.7× 214 0.7× 130 1.2× 138 1.6× 42 790
Allen C. Ward United States 16 546 0.8× 216 0.5× 232 0.7× 42 0.4× 187 2.2× 39 1.3k
Diane Riopel Canada 14 561 0.8× 125 0.3× 274 0.9× 28 0.3× 56 0.7× 38 971
Layek Abdel‐Malek United States 17 324 0.5× 578 1.3× 389 1.2× 19 0.2× 196 2.3× 52 974
Guodong Shao United States 19 750 1.0× 167 0.4× 90 0.3× 40 0.4× 183 2.1× 75 1.1k
K. C. Morris United States 18 532 0.7× 184 0.4× 252 0.8× 12 0.1× 71 0.8× 80 999
Nelson A. Uhan United States 11 619 0.9× 98 0.2× 113 0.4× 51 0.5× 83 1.0× 26 1.0k
Toshiya Kaihara Japan 17 424 0.6× 263 0.6× 219 0.7× 10 0.1× 138 1.6× 151 919
Bernardo Villarreal Mexico 15 168 0.2× 264 0.6× 213 0.7× 19 0.2× 102 1.2× 34 563

Countries citing papers authored by Kripa Shanker

Since Specialization
Citations

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

Fields of papers citing papers by Kripa Shanker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kripa Shanker

This figure shows the co-authorship network connecting the top 25 collaborators of Kripa Shanker. A scholar is included among the top collaborators of Kripa Shanker 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 Kripa Shanker. Kripa Shanker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Shanker, Kripa, et al.. (2014). Efficacy of leaves extract of Acacia nilotica against Pseudomonas aeruginosa with reference to Disc diffusion method. Research Journal of Pharmacognosy and Phytochemistry. 6(2). 96–98. 2 indexed citations
3.
Jha, J.K. & Kripa Shanker. (2014). An integrated inventory problem with transportation in a divergent supply chain under service level constraint. Journal of Manufacturing Systems. 33(4). 462–475. 24 indexed citations
4.
Kuthambalayan, Thyagaraj S., et al.. (2014). Integrating operations and marketing decisions using delayed differentiation of products and guaranteed delivery time under stochastic demand. European Journal of Operational Research. 237(2). 617–627. 10 indexed citations
5.
6.
Jha, J.K. & Kripa Shanker. (2012). Single-vendor multi-buyer integrated production-inventory model with controllable lead time and service level constraints. Applied Mathematical Modelling. 37(4). 1753–1767. 83 indexed citations
7.
Jha, J.K. & Kripa Shanker. (2012). A coordinated two-phase approach for operational decisions with vehicle routing in a single-vendor multi-buyer system. International Journal of Production Research. 51(5). 1426–1450. 17 indexed citations
8.
Shanker, Kripa, et al.. (2011). Relative salt tolerance of Indian mustard (Brassica juncea) genotypes in relation to germination, growth and seed yield.. 1(2). 76–82. 4 indexed citations
9.
Jha, J.K. & Kripa Shanker. (2009). Two-echelon supply chain inventory model with controllable lead time and service level constraint. Computers & Industrial Engineering. 57(3). 1096–1104. 60 indexed citations
10.
Jha, J.K. & Kripa Shanker. (2008). A single-vendor single-buyer production-inventory model with controllable lead time and service level constraint for decaying items. International Journal of Production Research. 47(24). 6875–6898. 34 indexed citations
11.
Agrawal, Sunil, et al.. (2007). Impact of information sharing and lead time on bullwhip effect and on-hand inventory. European Journal of Operational Research. 192(2). 576–593. 148 indexed citations
12.
Shanker, Kripa, P. K. Basudhar, & Nihar Ranjan Patra. (2006). Buckling of Piles under Liquefied Soil Conditions. Geotechnical and Geological Engineering. 25(3). 303–313. 24 indexed citations
13.
Shanker, Kripa, et al.. (2002). Grouping of parts and machines in presence of alternative process routes by genetic algorithm. International Journal of Production Economics. 76(3). 219–228. 58 indexed citations
14.
Kumar, Santosh, Kripa Shanker, & G.K. Lal. (2001). Analysis of Cold Extrusion of Non Re-entry Product Shapes. Journal of Manufacturing Science and Engineering. 124(1). 71–78. 6 indexed citations
15.
Kumar, Neeraj & Kripa Shanker. (2001). Comparing the effectiveness of workload balancing objectives in FMS loading. International Journal of Production Research. 39(5). 843–871. 22 indexed citations
16.
Rajotia, Sunil, et al.. (1998). A semi-dynamic time window constrained routeing strategy in an AGV system. International Journal of Production Research. 36(1). 35–50. 43 indexed citations
17.
Ram, Bakshi & Kripa Shanker. (1997). Variability, character associations and selection of parents in genetically diverse populations of sugarcane under conditions of North Western Zone. Indian Journal of Plant Genetic Resources. 10(1). 49–62. 3 indexed citations
18.
Shanker, Kripa. (1991). Product diversification, growth and profitability in the corporate private sector in India. 1 indexed citations
19.
Shanker, Kripa & Anil Kumar Agrawal. (1991). Loading problem and resource considerations in FMS: a review. International Journal of Production Economics. 25(1-3). 111–119. 9 indexed citations
20.
Shanker, Kripa, et al.. (1985). A loading and dispatching problem in a random flexible manufacturing system. International Journal of Production Research. 23(3). 579–595. 187 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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