Kuldeep Kumar

4.6k total citations
179 papers, 2.6k citations indexed

About

Kuldeep Kumar is a scholar working on Artificial Intelligence, Finance and Statistics and Probability. According to data from OpenAlex, Kuldeep Kumar has authored 179 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 27 papers in Finance and 20 papers in Statistics and Probability. Recurrent topics in Kuldeep Kumar's work include Imbalanced Data Classification Techniques (17 papers), Stochastic processes and financial applications (16 papers) and Financial Distress and Bankruptcy Prediction (16 papers). Kuldeep Kumar is often cited by papers focused on Imbalanced Data Classification Techniques (17 papers), Stochastic processes and financial applications (16 papers) and Financial Distress and Bankruptcy Prediction (16 papers). Kuldeep Kumar collaborates with scholars based in Australia, India and United States. Kuldeep Kumar's co-authors include Adrian Gepp, Sukanto Bhattacharya, Carl J. Rosen, S. K. Baidoo, Satish C. Gupta, Yogesh Chander, Jan G. De Gooijer, Brijesh Verma, Milind Tiwari and Ping Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Chemosphere.

In The Last Decade

Kuldeep Kumar

150 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuldeep Kumar Australia 24 486 426 412 351 332 179 2.6k
Zhi Xiao China 25 554 1.1× 207 0.5× 292 0.7× 101 0.3× 147 0.4× 68 3.5k
J. D. Jobson Canada 20 233 0.5× 87 0.2× 329 0.8× 1.4k 4.0× 912 2.7× 31 4.1k
S. C. Sharma India 26 603 1.2× 82 0.2× 163 0.4× 50 0.1× 274 0.8× 143 5.4k
R. A. Johnson United States 20 439 0.9× 55 0.1× 505 1.2× 75 0.2× 155 0.5× 68 2.8k
Edward W. Frees United States 30 489 1.0× 130 0.3× 223 0.5× 1.0k 2.9× 2.0k 6.0× 91 4.4k
Aman Ullah United States 25 220 0.5× 233 0.5× 234 0.6× 1.0k 2.9× 3.3k 9.9× 98 5.1k
Christine M. Anderson‐Cook United States 28 367 0.8× 96 0.2× 69 0.2× 888 2.5× 675 2.0× 239 5.9k
Chong Wu China 28 708 1.5× 39 0.1× 181 0.4× 80 0.2× 165 0.5× 210 2.8k
James B. Ramsey United States 27 375 0.8× 67 0.2× 322 0.8× 1.3k 3.6× 3.2k 9.7× 82 5.4k
Jeffrey S. Racine United States 30 490 1.0× 56 0.1× 132 0.3× 605 1.7× 1.9k 5.6× 90 4.9k

Countries citing papers authored by Kuldeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Kuldeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuldeep Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep Kumar. A scholar is included among the top collaborators of Kuldeep 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 Kuldeep Kumar. Kuldeep Kumar 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
1.
Tiwari, Milind, Adrian Gepp, & Kuldeep Kumar. (2024). Using data analytics to distinguish legitimate and illegitimate shell companies. SHILAP Revista de lepidopterología. 7. 100123–100123. 1 indexed citations
2.
Misra, Anuradha, et al.. (2023). Optimized Machine Learning for Classifying Colorectal Tissues. SN Computer Science. 4(5). 18 indexed citations
3.
Misra, Anuradha, et al.. (2023). Correction: Optimized Machine Learning for Classifying Colorectal Tissues. SN Computer Science. 4(5).
4.
Arapostathis, Ari, Anup Biswas, Vivek S. Borkar, & Kuldeep Kumar. (2020). A Variational Characterization of the Risk-Sensitive Average Reward for Controlled Diffusions on $\mathbb{R}^d$. SIAM Journal on Control and Optimization. 58(6). 3785–3813. 10 indexed citations
5.
Athreya, Siva, Vivek S. Borkar, Kuldeep Kumar, & Rajesh Sundaresan. (2020). Simultaneous Small Noise Limit for Singularly Perturbed Slow-Fast Coupled Diffusions. DSpace (IIT Bombay). 3 indexed citations
6.
Шарма, Мукунд, et al.. (2018). Observations on the ichnospecies Monomorphichnus multilineatus from the Nagaur Sandstone (Cambrian Series 2-Stage 4), Marwar Supergroup, India. Journal of Earth System Science. 127(5). 14 indexed citations
7.
Paul, Prantosh, et al.. (2017). Emerging Degrees and Collaboration: The Context of Engineering Sciences in Computing & IT— An Analysis for Enhanced Policy Formulation in India. SSRN Electronic Journal. 5 indexed citations
8.
Kumar, Kuldeep, et al.. (2015). Phronesis as a Paradigm for ICT-enabled Transparency: The Case of the Nicaragua Canal Megaproject. Journal of the Association for Information Systems. 1 indexed citations
9.
Kumar, Kuldeep, et al.. (2014). Strategy formation for higher education institutions using system dynamics modelling. Bond University Research Portal (Bond University). 7(3). 207–227. 1 indexed citations
10.
Kumar, Kuldeep, et al.. (2012). Marketing problems in cotton seeds: a study in north Karnataka.. Mysore Journal of Agricultural Sciences. 46(1). 140–145.
11.
Kumar, Kuldeep. (2011). Robust Statistics, 2nd edition by P.J. Huber & E.M. Ronchetti [book review]. 174. 241–242. 14 indexed citations
12.
Natarajan, A., et al.. (2010). Soil organic carbon - the most reliable indicator for monitoring land degradation by soil erosion.. Current Science. 99(6). 823–827. 45 indexed citations
13.
Gepp, Adrian & Kuldeep Kumar. (2008). The role of survival analysis in financial distress prediction. Bond University Research Portal (Bond University). 54 indexed citations
14.
Bhattacharya, Sukanto & Kuldeep Kumar. (2006). A computational exploration of the efficacy of Fibonacci Sequences in Technical analysis and trading. Annals of economics and finance. 7(1). 185–196. 6 indexed citations
15.
Kumar, Kuldeep, Ping Zhang, & Brijesh Verma. (2006). Application of decision trees for mass classification in mammography. Acquire (CQUniversity). 365–375. 4 indexed citations
16.
Kumar, Kuldeep & Paul C. van Fenema. (1998). Barrier model: towards a theory of managing geographically distributed projects.. Data Archiving and Networked Services (DANS). 796–808. 1 indexed citations
17.
Markus, M. Lynne, et al.. (1998). Acquiring an implementing ERP: the view from business and academia (panel session).. International Conference on Information Systems. 410–411. 1 indexed citations
18.
Klein, Heinz K. & Kuldeep Kumar. (1989). Systems development for human progress : proceedings of the IFIP WG 8.2 Working Conference on Information Systems Development for Human Progress in Organizations, Atlanta, Georgia, U.S.A., 29-31 May 1987. Elsevier eBooks. 1 indexed citations
19.
Kumar, Kuldeep & Richard J. Welke. (1984). Implementation Failure and System Developer Values: Assumptions, 7(tuisms and Empirical Evidence. Journal of the Association for Information Systems. 12. 1 indexed citations
20.
Kumar, Kuldeep, et al.. (1970). A note on the biology of Odoiporus longicollis Olivier (Coleoptera: Curculionidae).. Science and Culture. 36(9). 515–516. 3 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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