Neural networks and statistical techniques: A review of applications2007 · 653 citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
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).
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-authors
The 2 scholars most cited alongside Usha A. Kumar, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Usha A. KumarLine = papers co-authored togetherUsha A. Kumar links everyone, so they are left out of the graph.
All Works
10 of 10 papers shown
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Work
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Neural networks and statistical techniques: A review of applications
Usha A. Kumar is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Information Systems and Management Information Systems, having authored 10 papers that have together received 864 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Stock Market Forecasting Methods (3 papers), Imbalanced Data Classification Techniques (2 papers), Advanced Statistical Methods and Models (2 papers), Data Mining Algorithms and Applications (2 papers), Advanced Queuing Theory Analysis (1 paper), Petri Nets in System Modeling (1 paper) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Management Science and Operations Research (126 citations), Computer Science Applications (46 citations), Artificial Intelligence (267 citations), Accounting (61 citations) and Health Information Management (19 citations). Usha A. Kumar has collaborated with scholars based in India. Frequent co-authors include Mukta Paliwal and M.N. Gopalan. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing, OPSEARCH, Metrika and DSpace (IIT Bombay).
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