Usha A. Kumar

1.0k total citations · 1 hit paper
10 papers, 791 citations indexed

About

Usha A. Kumar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Usha A. Kumar has authored 10 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Usha A. Kumar's work include Neural Networks and Applications (5 papers), Stock Market Forecasting Methods (3 papers) and Imbalanced Data Classification Techniques (2 papers). Usha A. Kumar is often cited by papers focused on Neural Networks and Applications (5 papers), Stock Market Forecasting Methods (3 papers) and Imbalanced Data Classification Techniques (2 papers). Usha A. Kumar collaborates with scholars based in India. Usha A. Kumar's co-authors include Mukta Paliwal and M.N. Gopalan and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and OPSEARCH.

In The Last Decade

Usha A. Kumar

7 papers receiving 746 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.

Neural networks and statistical techniques: A review of applications

2007 601 citations Mukta Paliwal, Usha A. Kumar Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Usha A. Kumar India	6	236	112	93	69	63	10	791
Mukta Paliwal India	6	219 0.9×	96 0.9×	89 1.0×	66 1.0×	56 0.9×	9	739
İnci Batmaz Türkiye	14	164 0.7×	142 1.3×	68 0.7×	77 1.1×	80 1.3×	32	1.1k
Roselina Sallehuddin Malaysia	17	267 1.1×	98 0.9×	192 2.1×	131 1.9×	46 0.7×	69	812
Maher Maalouf United Arab Emirates	18	230 1.0×	33 0.3×	137 1.5×	78 1.1×	46 0.7×	60	933
Javier M. Moguerza Spain	15	325 1.4×	83 0.7×	107 1.2×	40 0.6×	87 1.4×	72	961
Kyung-In Kang South Korea	21	100 0.4×	374 3.3×	123 1.3×	133 1.9×	70 1.1×	105	1.8k
Anh‐Duc Pham Vietnam	22	195 0.8×	258 2.3×	243 2.6×	109 1.6×	62 1.0×	34	1.9k
Amalia Luque Sendra Spain	9	350 1.5×	29 0.3×	77 0.8×	45 0.7×	111 1.8×	27	952
Amit Kumar Goel India	11	160 0.7×	42 0.4×	58 0.6×	28 0.4×	73 1.2×	65	653
Ling Xie China	13	291 1.2×	83 0.7×	153 1.6×	35 0.5×	42 0.7×	29	836

Countries citing papers authored by Usha A. Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Usha A. Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usha A. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Usha A. Kumar. A scholar is included among the top collaborators of Usha A. Kumar 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 Usha A. Kumar. Usha A. Kumar 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.

Kumar, Usha A., et al.. (2024). A Convolution Neural Network Based Classifier for Discerning AI Generated Images and Real Images. 1–7.

2.

Kumar, Usha A., et al.. (2013). Application of extreme value theory in commodity markets. 19. 867–871.

3.

Paliwal, Mukta & Usha A. Kumar. (2011). The predictive accuracy of feed forward neural networks and multiple regression in the case of heteroscedastic data. Applied Soft Computing. 11(4). 3859–3869. 7 indexed citations

4.

Paliwal, Mukta & Usha A. Kumar. (2011). Assessing the contribution of variables in feed forward neural network. Applied Soft Computing. 11(4). 3690–3696. 53 indexed citations

5.

Kumar, Usha A., et al.. (2010). Comparative analysis of SOM neural network with K-means clustering algorithm. 55–59. 12 indexed citations

6.

Paliwal, Mukta & Usha A. Kumar. (2008). A study of academic performance of business school graduates using neural network and statistical techniques. Expert Systems with Applications. 36(4). 7865–7872. 42 indexed citations

7.

Paliwal, Mukta & Usha A. Kumar. (2008). The predictive accuracy of feed forward neural networks and multiple regression in the case of heteroscedastic data. 2. 430–434.

8.

Paliwal, Mukta & Usha A. Kumar. (2007). Neural networks and statistical techniques: A review of applications. Expert Systems with Applications. 36(1). 2–17. 601 indexed citations breakdown →

9.

Kumar, Usha A.. (2005). Comparison of neural networks and regression analysis: A new insight. Expert Systems with Applications. 29(2). 424–430. 75 indexed citations

10.

Gopalan, M.N. & Usha A. Kumar. (1999). Busy Period Analysis of A Two-Stage Multi-Product System with Interstage Buffer. OPSEARCH. 36(3). 284–299. 1 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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