A. Martin

439 total citations
20 papers, 264 citations indexed

About

A. Martin is a scholar working on Artificial Intelligence, Accounting and Management Science and Operations Research. According to data from OpenAlex, A. Martin has authored 20 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Accounting and 8 papers in Management Science and Operations Research. Recurrent topics in A. Martin's work include Financial Distress and Bankruptcy Prediction (11 papers), Imbalanced Data Classification Techniques (9 papers) and Multi-Criteria Decision Making (4 papers). A. Martin is often cited by papers focused on Financial Distress and Bankruptcy Prediction (11 papers), Imbalanced Data Classification Techniques (9 papers) and Multi-Criteria Decision Making (4 papers). A. Martin collaborates with scholars based in India and United Kingdom. A. Martin's co-authors include V. Prasanna Venkatesan, T. Miranda Lakshmi, G. Saranya, G. K. D. Prasanna Venkatesan, S. Balaji and Ike Iheanacho and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, International Journal of Information Management and Value in Health.

In The Last Decade

A. Martin

20 papers receiving 237 citations

Peers

A. Martin

MIS

ACCOU

MSOR

Ilona Jagielska Australia

Qiujun Lan China

Praveen Kumar Donepudi United States

Marc Schmitt United Kingdom

Viara Popova Netherlands

Youssef Mourdi Morocco

Morteza Mousakhani Iran

Kai Zimmermann Germany

Efstathios Panayi United Kingdom

Ilona Jagielska Australia

A. Martin

75 ×1.0

MIS

52 ×0.8

112 ×1.7

22 ×0.4

ACCOU

53 ×1.0

MSOR

Citations per year, relative to A. Martin A. Martin (= 1×) peers Ilona Jagielska

Countries citing papers authored by A. Martin

Since Specialization

Citations

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

Fields of papers citing papers by A. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Martin

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

All Works

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20 of 20 papers shown

Martin, A., et al.. (2021). A study on generic object detection with emphasis on future research directions. Journal of King Saud University - Computer and Information Sciences. 34(9). 7347–7365. 31 indexed citations

Martin, A., et al.. (2020). A Study on Fight Against COVID-19 from Latest Technological Intervention. SN Computer Science. 1(5). 4 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, 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., et al.. (2015). Identification and counting of pests using extended region grow algorithm. 2015 2nd International Conference on Electronics and Communication Systems (ICECS). 1229–1234. 12 indexed citations

Martin, A., et al.. (2015). Identification of a Better Laptop with Conflicting Criteria Using TOPSIS. International Journal of Information Engineering and Electronic Business. 7(6). 28–36. 16 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). A survey on recent research in business intelligence. Journal of Enterprise Information Management. 27(6). 831–866. 49 indexed citations

10.

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

11.

Martin, A., et al.. (2013). Faulty Connections: Can Criticisms of Network Meta-Analysis in Nice Submissions Be Avoided?. Value in Health. 16(7). A608–A608. 2 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.

Martin, A., T. Miranda Lakshmi, & V. Prasanna Venkatesan. (2012). An analysis on business intelligence models to improve business performance. 503–508. 12 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.. (2012). Framing Qualitative Bankruptcy Prediction Rules Using Ant Colony Algorithm. International Journal of Computer Applications. 41(21). 32–36. 4 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., S. Balaji, & V. Prasanna Venkatesan. (2012). Effective Prediction of Bankruptcy based on the Qualitative factors using FID3 Algorithm. 43(21). 28–32. 3 indexed citations

18.

Martin, A., et al.. (2011). An Analysis on Qualitative Bankruptcy Models to Frame Bankruptcy Prediction Rules Using Ant Colony Algorithm. 3(10). 492–496. 2 indexed citations

19.

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

20.

Martin, A., et al.. (2011). A Hybrid Model for Bankruptcy prediction Using Genetic Algorithm,Fuzzy C-Means and Mars. 2(1). 12–24. 40 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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