Anupam Shukla

3.7k citations
170 papers · 2.1k indexed · h-index 27
Topics
Robotic Path Planning Algorithms (35 papers)Metaheuristic Optimization Algorithms Research (26 papers)Neural Networks and Applications (17 papers)
Partner nations
IndiaUnited StatesItaly

In The Last Decade

Anupam Shukla

159 papers receiving 1.9k citations

Peers

Anupam Shukla
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 879
  • Artificial Intelligence 615
  • Aerospace Engineering 438
  • Computer Networks and Communications 395
  • Control and Systems Engineering 270
Replace Ritu Tiwari with:
Ritu Tiwari India
Tuan Nguyen Gia Finland
Putra Sumari Malaysia
Tingting Yang China
Amar Ramdane-Chérif France
Osman Hasan Pakistan
Fahd N. Al‐Wesabi Saudi Arabia
V. Vaidehi India
Douglas Creighton Australia
Gianluca Aloi Italy
Anupam Shukla relative to Ritu Tiwari India Ritu Tiwari's profile →
Citations per field
00.5×1.6×
Ritu Tiwari · 1×
Citations per year

Countries citing papers authored by Anupam Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Anupam Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupam Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Anupam Shukla. A scholar is included among the top collaborators of Anupam 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 Anupam Shukla. Anupam 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
1 6
2 3
3 2
4 4
5 30
6 26
7 36
8 1
9 6
10 11
11 11
12 67
13 17
14
Fusion of Face and Speech Features with Artificial Neural Network for Speaker Authentication
0
15 1
16
Analysis & modeling multi-breeded Mean-Minded ant colony optimization of agent based Road Vehicle Routing Management
8
17 1
18 5
19 45
20 5

About Anupam Shukla

Anupam Shukla is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Signal Processing, having authored 170 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (35 papers), Metaheuristic Optimization Algorithms Research (26 papers) and Neural Networks and Applications (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (879 citations), Health Information Management (123 citations) and Artificial Intelligence (615 citations). Anupam Shukla has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Ritu Tiwari, Rahul Kala, W. Wilfred Godfrey, Rekh Ram Janghel, Saumil Maheshwari, K. K. Pattanaik, Laxmidhar Behera, Debabrata Bera, Lalitagauri Ray and Anurag Pandey. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Journal of Colloid and Interface Science.

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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