Mukta Paliwal

13 total papers · 963 total citations
9 papers, 732 citations indexed

About

Mukta Paliwal is a scholar working on Artificial Intelligence, Global and Planetary Change and Management Science and Operations Research. According to data from OpenAlex, Mukta Paliwal has authored 9 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Global and Planetary Change and 3 papers in Management Science and Operations Research. Recurrent topics in Mukta Paliwal's work include Stock Market Forecasting Methods (3 papers), Neural Networks and Applications (3 papers) and Advanced Statistical Methods and Models (2 papers). Mukta Paliwal is often cited by papers focused on Stock Market Forecasting Methods (3 papers), Neural Networks and Applications (3 papers) and Advanced Statistical Methods and Models (2 papers). Mukta Paliwal collaborates with scholars based in India. Mukta Paliwal's co-authors include Usha A. Kumar, Anand Patwardhan, Arun B. Inamdar, A. R. Abhyankar and N. L. Sarda and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Natural Hazards.

In The Last Decade

Mukta Paliwal

8 papers receiving 693 citations

Hit Papers

Neural networks and stati... 2007 2026 2013 2019 2007 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mukta Paliwal 220 96 88 65 55 9 732
Usha A. Kumar 238 1.1× 112 1.2× 92 1.0× 68 1.0× 62 1.1× 10 783
Xiao Su 118 0.5× 44 0.5× 83 0.9× 75 1.2× 32 0.6× 13 891
John D. Johnson 379 1.7× 163 1.7× 76 0.9× 44 0.7× 51 0.9× 30 807
William Lefebvre 256 1.2× 61 0.6× 126 1.4× 81 1.2× 24 0.4× 13 830
Zaiyong Tang 268 1.2× 287 3.0× 169 1.9× 27 0.4× 33 0.6× 16 647
Thabiso Maupong 181 0.8× 41 0.4× 99 1.1× 31 0.5× 40 0.7× 17 676
Bogdan Popescu 352 1.6× 43 0.4× 28 0.3× 21 0.3× 72 1.3× 10 775
Murali Shanker 115 0.5× 124 1.3× 43 0.5× 29 0.4× 31 0.6× 32 632
Thabo Semong 215 1.0× 41 0.4× 77 0.9× 19 0.3× 47 0.9× 16 663
Maher Maalouf 228 1.0× 29 0.3× 134 1.5× 77 1.2× 46 0.8× 59 908

Countries citing papers authored by Mukta Paliwal

Since Specialization
Citations

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

Fields of papers citing papers by Mukta Paliwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukta Paliwal

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

All Works

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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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