T. Miranda Lakshmi

912 total citations · 1 hit paper
17 papers, 621 citations indexed

About

T. Miranda Lakshmi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Accounting. According to data from OpenAlex, T. Miranda Lakshmi has authored 17 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 7 papers in Accounting. Recurrent topics in T. Miranda Lakshmi's work include Financial Distress and Bankruptcy Prediction (7 papers), Imbalanced Data Classification Techniques (6 papers) and Multi-Criteria Decision Making (5 papers). T. Miranda Lakshmi is often cited by papers focused on Financial Distress and Bankruptcy Prediction (7 papers), Imbalanced Data Classification Techniques (6 papers) and Multi-Criteria Decision Making (5 papers). T. Miranda Lakshmi collaborates with scholars based in India and United States. T. Miranda Lakshmi's co-authors include V. Prasanna Venkatesan, A. Martin, Kellyann Berube Kowalski, Satyanarayana Parayitam and S. Balaji and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, International Journal of Information Management and Journal of Enterprise Information Management.

In The Last Decade

T. Miranda Lakshmi

17 papers receiving 568 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey on Multi Criteria Decision Making Methods and Its Applications

2013 338 citations T. Miranda Lakshmi, V. Prasanna Venkatesan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Miranda Lakshmi India	11	164	116	113	87	66	17	621
Quang Hung Vietnam	15	165 1.0×	165 1.4×	67 0.6×	37 0.4×	106 1.6×	53	854
Chui-Yu Chiu Taiwan	11	191 1.2×	85 0.7×	118 1.0×	97 1.1×	59 0.9×	30	594
Ming‐Tsang Lu Taiwan	13	263 1.6×	55 0.5×	226 2.0×	104 1.2×	50 0.8×	22	750
Omar Boutkhoum Morocco	14	183 1.1×	82 0.7×	111 1.0×	67 0.8×	98 1.5×	34	517
Vera Miguéis Portugal	15	188 1.1×	163 1.4×	32 0.3×	78 0.9×	110 1.7×	45	879
Fu-Hsiang Chen Taiwan	11	195 1.2×	71 0.6×	178 1.6×	131 1.5×	52 0.8×	24	605
How‐Ming Shieh Taiwan	9	324 2.0×	87 0.8×	220 1.9×	140 1.6×	98 1.5×	10	818
Desheng Wu China	14	218 1.3×	148 1.3×	86 0.8×	90 1.0×	136 2.1×	48	709
Yuanjun Zhao China	16	138 0.8×	109 0.9×	204 1.8×	174 2.0×	98 1.5×	33	844
Fabio Blanco‐Mesa Colombia	12	372 2.3×	99 0.9×	133 1.2×	55 0.6×	43 0.7×	56	884

Countries citing papers authored by T. Miranda Lakshmi

Since Specialization

Citations

This map shows the geographic impact of T. Miranda Lakshmi'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 T. Miranda Lakshmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Miranda Lakshmi more than expected).

Fields of papers citing papers by T. Miranda Lakshmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Miranda Lakshmi. 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 T. Miranda Lakshmi. The network helps show where T. Miranda Lakshmi may publish in the future.

Co-authorship network of co-authors of T. Miranda Lakshmi

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

All Works

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17 of 17 papers shown

Lakshmi, T. Miranda, et al.. (2023). The effect of knowledge conversion on innovation and performance: A multi‐layered moderated‐mediation model. Knowledge and Process Management. 30(4). 409–433. 5 indexed citations

Kowalski, Kellyann Berube, et al.. (2021). The relationship between work–life balance and job satisfaction: moderating role of training and development and work environment. Journal of Advances in Management Research. 19(2). 240–271. 56 indexed citations

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2018). A Study on Evaluation Metrics for Multi Criteria Decision Making (MCDM) Methods - TOPSIS, COPRAS & GRA. 7(1). 29–37. 6 indexed citations

Lakshmi, T. Miranda, et al.. (2018). A Study on Different Types of Normalization Methods in Adaptive Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). 4(5). 9 indexed citations

Lakshmi, T. Miranda, V. Prasanna Venkatesan, & A. Martin. (2016). An Identification of Better Engineering College with Conflicting Criteria using Adaptive TOPSIS. International Journal of Modern Education and Computer Science. 8(5). 19–31. 9 indexed citations

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2015). A reference model for business intelligence to predict bankruptcy. Journal of Enterprise Information Management. 28(2). 186–217. 13 indexed citations

Lakshmi, T. Miranda, A. Martin, & V. Prasanna Venkatesan. (2015). A Genetic Bankrupt Ratio Analysis Tool Using a Genetic Algorithm to Identify Influencing Financial Ratios. IEEE Transactions on Evolutionary Computation. 20(1). 38–51. 13 indexed citations

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2014). An information delivery model for banking business. International Journal of Information Management. 34(2). 139–150. 16 indexed citations

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2014). A survey on recent research in business intelligence. Journal of Enterprise Information Management. 27(6). 831–866. 49 indexed citations

10.

Lakshmi, T. Miranda, et al.. (2013). A Survey on Multi Criteria Decision Making Methods and Its Applications. 1(1). 31–43. 338 indexed citations breakdown →

11.

Lakshmi, T. Miranda, et al.. (2013). An Analysis of Students Performance Using Genetic Algorithm. 1(4). 75–79. 13 indexed citations

12.

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2013). An Analysis on Qualitative Bankruptcy Prediction Rules using Ant-Miner. International Journal of Intelligent Systems and Applications. 6(1). 36–44. 13 indexed citations

13.

Lakshmi, T. Miranda, et al.. (2013). An Analysis on Performance of Decision Tree Algorithms using Student’s Qualitative Data. International Journal of Modern Education and Computer Science. 5(5). 18–27. 50 indexed citations

14.

Martin, A., et al.. (2012). An analysis on Qualitative Bankruptcy Prediction using Fuzzy ID3 and Ant Colony Optimization Algorithm. 7 indexed citations

15.

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2012). An analysis on business intelligence models to improve business performance. 503–508. 12 indexed citations

16.

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2012). A business intelligence framework for business performance using data mining techniques. 38. 373–380. 10 indexed citations

17.

Martin, A., et al.. (2011). To Find Best Bankruptcy Model using Genetic Algorithm. 3(9). 601–607. 2 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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