Pradyumn Kumar Shukla

1.3k total citations · 1 hit paper
25 papers, 636 citations indexed

About

Pradyumn Kumar Shukla is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Pradyumn Kumar Shukla has authored 25 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 6 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Pradyumn Kumar Shukla's work include Advanced Multi-Objective Optimization Algorithms (14 papers), Optimization and Variational Analysis (4 papers) and Probabilistic and Robust Engineering Design (4 papers). Pradyumn Kumar Shukla is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (14 papers), Optimization and Variational Analysis (4 papers) and Probabilistic and Robust Engineering Design (4 papers). Pradyumn Kumar Shukla collaborates with scholars based in Germany, India and United Kingdom. Pradyumn Kumar Shukla's co-authors include Dirk Helbing, Anders Johansson, Kalyanmoy Deb, Andreas Fischer, Animesh Das, Hartmut Schmeck, Qing-Song Wu, Rui Jiang, Deepak Sharma and Pravendra Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Applied Soft Computing.

In The Last Decade

Pradyumn Kumar Shukla

23 papers receiving 591 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATA

2007 336 citations Anders Johansson, Dirk Helbing et al. Advances in Complex Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradyumn Kumar Shukla Germany	10	337	194	168	127	127	25	636
Lou Caccetta Australia	11	81 0.2×	201 1.0×	30 0.2×	80 0.6×	135 1.1×	35	514
Craig Wanke United States	17	62 0.2×	151 0.8×	78 0.5×	61 0.5×	106 0.8×	90	978
Mingjun Ji China	14	179 0.5×	55 0.3×	7 0.0×	64 0.5×	46 0.4×	42	728
Harold Greenberg United States	9	65 0.2×	490 2.5×	103 0.6×	46 0.4×	355 2.8×	24	821
Gano Chatterji United States	19	50 0.1×	327 1.7×	95 0.6×	20 0.2×	112 0.9×	85	1.4k
Mohsen Babaei Iran	11	53 0.2×	63 0.3×	16 0.1×	22 0.2×	96 0.8×	32	370
Yunlong Ma China	12	94 0.3×	31 0.2×	36 0.2×	38 0.3×	55 0.4×	56	474
M. Rickert United States	7	108 0.3×	487 2.5×	31 0.2×	58 0.5×	379 3.0×	12	642
Elmar Brockfeld Germany	11	139 0.4×	665 3.4×	108 0.6×	30 0.2×	540 4.3×	37	835
Sébastien Blandin United States	13	77 0.2×	510 2.6×	31 0.2×	6 0.0×	499 3.9×	25	833

Countries citing papers authored by Pradyumn Kumar Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Pradyumn Kumar Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradyumn Kumar Shukla

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shukla, Pradyumn Kumar, et al.. (2024). On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1979–1983.

Shukla, Pradyumn Kumar, et al.. (2024). Designing a novel network anomaly detection framework using multi-serial stacked network with optimal feature selection procedures over DDOS attacks. SHILAP Revista de lepidopterología. 6. 1–13. 2 indexed citations

Shukla, Pradyumn Kumar, et al.. (2024). On cone-based decompositions of proper Pareto-optimality in multi-objective optimization. European Journal of Operational Research. 317(2). 592–602. 2 indexed citations

Shukla, Pradyumn Kumar, et al.. (2022). Approximations for Pareto and Proper Pareto solutions and their KKT conditions. Mathematical Methods of Operations Research. 96(1). 123–148. 2 indexed citations

Sharma, Deepak & Pradyumn Kumar Shukla. (2019). Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework. Swarm and Evolutionary Computation. 51. 100592–100592. 11 indexed citations

Shukla, Pradyumn Kumar, et al.. (2019). On a practical notion of Geoffrion proper optimality in multicriteria optimization. Optimization. 69(7-8). 1513–1539. 4 indexed citations

Echanobe, Javier, et al.. (2016). A neuro-genetic approach for modeling and optimizing a complex cogeneration process. Applied Soft Computing. 48. 347–358. 13 indexed citations

Shukla, Pradyumn Kumar, et al.. (2015). Obtaining Optimal Pareto Front Approximations using Scalarized Preference Information. Research Explorer (The University of Manchester). 631–638. 10 indexed citations

Shukla, Pradyumn Kumar, Salil Goel, Pravendra Singh, & Bharat Lohani. (2014). Automatic geolocation of targets tracked by aerial imaging platforms using satellite imagery. The international archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 1213–1220. 6 indexed citations

10.

Shukla, Pradyumn Kumar, et al.. (2014). A theoretical analysis of volume based Pareto front approximations. Research Explorer (The University of Manchester). 1415–1422. 9 indexed citations

11.

Shukla, Pradyumn Kumar, et al.. (2014). Automatic geolocation of targets tracked by aerial imaging platforms using satellite imagery. SHILAP Revista de lepidopterología. XL-1. 381–388. 7 indexed citations

12.

Ismaeel, Alaa A. K., Pradyumn Kumar Shukla, & Hartmut Schmeck. (2012). Dynamic Drawing of Hierarchical Graphs. 1 indexed citations

13.

Ismaeel, Alaa A. K., Pradyumn Kumar Shukla, & Hartmut Schmeck. (2011). Efficient barycenter algorithm for drawing hierarchical graphs with minimum edge crossings. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8285. 82850A–82850A.

14.

Shukla, Pradyumn Kumar. (2010). Levenberg-Marquardt Algorithms for Nonlinear Equations, Multi-objective Optimization, and Complementarity Problems. Qucosa (Saxon State and University Library Dresden). 4 indexed citations

15.

Fischer, Andreas & Pradyumn Kumar Shukla. (2008). A Levenberg–Marquardt algorithm for unconstrained multicriteria optimization. Operations Research Letters. 36(5). 643–646. 25 indexed citations

16.

Fischer, Andreas, et al.. (2008). On the inexactness level of robust Levenberg–Marquardt methods. Optimization. 59(2). 273–287. 32 indexed citations

17.

Shukla, Pradyumn Kumar. (2007). Exploiting second order information in computational multi-objective evolutionary optimization. 271–282. 1 indexed citations

18.

Johansson, Anders, Dirk Helbing, & Pradyumn Kumar Shukla. (2007). SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATA. Advances in Complex Systems. 10(supp02). 271–288. 336 indexed citations breakdown →

19.

Jiang, Rui, Dirk Helbing, Pradyumn Kumar Shukla, & Qing-Song Wu. (2006). Inefficient emergent oscillations in intersecting driven many-particle flows. Physica A Statistical Mechanics and its Applications. 368(2). 567–574. 27 indexed citations

20.

Shukla, Pradyumn Kumar & Kalyanmoy Deb. (2006). On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods. European Journal of Operational Research. 181(3). 1630–1652. 112 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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