Manisha Pal

611 citations
54 papers · 403 · h-index 12

Impact in

Papers in

Manisha Pal

48 papers receiving 371 citations

Peers

Manisha Pal
Comparison fields: 5 of 77
  • Statistics and Probability 216
  • Statistics, Probability and Uncertainty 184
  • Management Science and Operations Research 139
  • Management Information Systems 64
  • Safety, Risk, Reliability and Quality 44
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Ezzatallah Baloui Jamkhaneh Iran
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Citations per field
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Citations per year

Countries citing papers authored by Manisha Pal

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Manisha Pal, 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 Manisha Pal Line = papers co-authored together Manisha Pal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007106
2 200727
3 201422
4 201419
5 200518
6 200617
7 198916
8 200715
9 200813
10 201312
11 200812
12 200712
13 20167
14
Optimum mixture designs under constraints on mixing components
20087
15 19906
16 20096
17 20125
18 20165
19 20125
20 20155

About Manisha Pal

Manisha Pal is a scholar working on Management Science and Operations Research, Statistics and Probability, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Information Systems, having authored 54 papers that have together received 403 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (24 papers), Statistical Distribution Estimation and Applications (12 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (10 papers), Supply Chain and Inventory Management (8 papers), Advanced Statistical Process Monitoring (8 papers), Statistical Methods in Clinical Trials (6 papers) and Advanced Queuing Theory Analysis (5 papers). The work is most often cited by research in Statistics and Probability (216 citations), Statistics, Probability and Uncertainty (184 citations), Management Science and Operations Research (139 citations), Management Information Systems (64 citations) and Safety, Risk, Reliability and Quality (44 citations). Manisha Pal has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include M. Masoom Ali, Nripes Kumar Mandal, Montip Tiensuwan, Saralees Nadarajah, Surinder Deswal, Bikas K. Sinha and R. Tripathi. Their work appears in journals such as Journal of Regional Science, Statistical Papers, Communications in Statistics - Simulation and Computation, Austrian Journal of Statistics and OPSEARCH.

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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