Inder J. Taneja

1.1k total citations
53 papers, 412 citations indexed

About

Inder J. Taneja is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Applied Mathematics. According to data from OpenAlex, Inder J. Taneja has authored 53 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistical and Nonlinear Physics, 16 papers in Statistics and Probability and 14 papers in Applied Mathematics. Recurrent topics in Inder J. Taneja's work include Statistical Mechanics and Entropy (21 papers), Advanced Statistical Methods and Models (14 papers) and Multi-Criteria Decision Making (13 papers). Inder J. Taneja is often cited by papers focused on Statistical Mechanics and Entropy (21 papers), Advanced Statistical Methods and Models (14 papers) and Multi-Criteria Decision Making (13 papers). Inder J. Taneja collaborates with scholars based in Brazil, Spain and India. Inder J. Taneja's co-authors include Renato M. Capocelli, Raffaele Giancarlo, Bhu Dev Sharma, Annibal Parracho Sant’Anna, Pushpa N. Rathie, Leandro Pardo, Domingo Morales, Pranesh Kumar, Miquel Salicrú and M. Menéndez and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Information Sciences.

In The Last Decade

Inder J. Taneja

42 papers receiving 369 citations

Peers

Inder J. Taneja
Comparison fields: 5 of 66
  • Statistical and Nonlinear Physics 183
  • Artificial Intelligence 145
  • Statistics and Probability 104
  • Management Science and Operations Research 69
  • Applied Mathematics 65
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Citations per field, relative to Inder J. Taneja
Inder J. Taneja · 1×
Citations per year, relative to Inder J. Taneja
Inder J. Taneja · 1×

Countries citing papers authored by Inder J. Taneja

Since Specialization
Citations

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

Fields of papers citing papers by Inder J. Taneja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inder J. Taneja. 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 Inder J. Taneja. The network helps show where Inder J. Taneja may publish in the future.

Co-authorship network of co-authors of Inder J. Taneja

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2
Generalized non-symmetric divergence measures and inequaities ⁄
3
3 1
4 2
5
Inequalities among Differences of Gini Means and Divergence Measures
1
6
Generalized Relative Information and Information Inequalities
7
7 41
8 1
9
On M-dimensional unified (r,s)-Jensen difference divergence measures and their applications
1
10
Λ-measures of hypoentropy and comparison of experiments: Blackwell and Lehmann approach.
4
11 1
12 17
13 2
14
On generalized information and divergence measures and their applications: a brief review
14
15
An algorithm for calculating the channel capacity of degree β
1
16 2
17 6
18 3
19
Three Generalized-Additive Measures of Entropy.
27
20 1

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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