Pradyumn Kumar Shukla

1.3k citations
25 papers · 636 indexed · 1 hit paper · h-index 10
Topics
Advanced Multi-Objective Optimization Algorithms (14 papers)Optimization and Variational Analysis (4 papers)Probabilistic and Robust Engineering Design (4 papers)
Journals
SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchApplied Soft Computing

In The Last Decade

Pradyumn Kumar Shukla

23 papers receiving 591 citations

Hit Papers

SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVO...20072026201320192007100200300

Peers

Pradyumn Kumar Shukla
Comparison fields: 5 of 69
  • Ocean Engineering 337
  • Control and Systems Engineering 194
  • Safety, Risk, Reliability and Quality 168
  • Computational Theory and Mathematics 127
  • Transportation 127
Replace Lou Caccetta with:
Lou Caccetta Australia
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
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2 2
3 2
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5 11
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7 10
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11 1
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13 0
14
Levenberg-Marquardt Algorithms for Nonlinear Equations, Multi-objective Optimization, and Complementarity Problems
4
15 25
16 32
17 1
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SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATAbreakdown →
336
19 27
20 112

About Pradyumn Kumar Shukla

Pradyumn Kumar Shukla is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Architecture, having authored 25 papers that have together received 636 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (14 papers), Optimization and Variational Analysis (4 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Ocean Engineering (337 citations), Transportation (127 citations) and Safety, Risk, Reliability and Quality (168 citations). Pradyumn Kumar Shukla has collaborated with scholars based in Germany, India and United Kingdom. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Applied Soft Computing.

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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