Harish Sharma

2.1k total citations · 1 hit paper
53 papers, 1.4k citations indexed

About

Harish Sharma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Harish Sharma has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Harish Sharma's work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Harish Sharma is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Harish Sharma collaborates with scholars based in India, Australia and United Kingdom. Harish Sharma's co-authors include Jagdish Chand Bansal, Shimpi Singh Jadon, Maurice Clerc, Ritu Tiwari, K. V. Arya, Sourabh Sharma, Nirmala Sharma, Mukesh Saraswat, Ajay Sharma and Sandeep Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Chaos Solitons & Fractals.

In The Last Decade

Harish Sharma

49 papers receiving 1.3k 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.

Spider Monkey Optimization algorithm for numerical optimization

2013 407 citations Jagdish Chand Bansal, Harish Sharma et al. profile →

Peers

Harish Sharma

AI

CVPR

CTM

EEE

CNC

Mohammed El-Abd Kuwait

Heming Jia China

Mukesh Saraswat India

Mohammad Tubishat Jordan

Juan A. Gómez‐Pulido Spain

Roman Šenkeřík Czechia

Malik Braik Jordan

Nicolás García‐Pedrajas Spain

Amir Seyyedabbasi Türkiye

Mohammed El-Abd Kuwait

Harish Sharma

633 ×0.9

AI

127 ×0.4

CVPR

288 ×1.1

CTM

170 ×0.8

EEE

109 ×0.8

CNC

Citations per year, relative to Harish Sharma Harish Sharma (= 1×) peers Mohammed El-Abd

Countries citing papers authored by Harish Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Harish Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Sharma

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

All Works

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20 of 20 papers shown

1.

Sharma, Harish, et al.. (2024). Predicting COVID-19 outbreak in India using modified SIRD model. SHILAP Revista de lepidopterología. 32(1). 3 indexed citations

2.

Agrawal, Himani, Atar Singh, Shyamsunder Kumawat, Harish Sharma, & Sunıl Dutt Purohıt. (2024). AGE-BASED INVESTIGATION OF COVID-19 PREVALENCE IN ETHIOPIA USING MATHEMATICAL MODELLING. 20(1). 297–312. 3 indexed citations

3.

Sharma, Harish, Antorweep Chakravorty, Shahid Hussain, & Rajani Kumari. (2024). Artificial Intelligence: Theory and Applications. Lecture notes in networks and systems. 4 indexed citations

4.

Kumar, Rajendra, et al.. (2024). Importance of Drug Regulatory Affairs in Pharmaceutical Industry. Acta Scientific Pharmaceutical Sciences. 64–70. 1 indexed citations

5.

Sharma, Harish, Apu Kumar Saha, & Mukesh Prasad. (2023). Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022). 2 indexed citations

6.

Bansal, Jagdish Chand, Harish Sharma, & Antorweep Chakravorty. (2023). Congress on Smart Computing Technologies. Smart innovation, systems and technologies. 1 indexed citations

7.

Sharma, Harish, et al.. (2023). Formulation of Polyherbal Soap and Evaluation of its Physico-Chemical Parameters. Acta Scientific Pharmaceutical Sciences. 7(5). 13–19.

8.

Agarwal, Basant, Mukesh Kumar Gupta, Harish Sharma, & Ramesh Chandra Poonia. (2022). Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English–Hindi Language Pairs. Big Data. 11(1). 48–58. 1 indexed citations

9.

Sharma, Kamal, et al.. (2022). Economic Profitability and Carbon Stock Potential of Cereals and Pulses Under Harar and Aonla Based Agroforestry Systems in The Low Hill Zone of Himachal Pradesh. 9(2). 170–173. 2 indexed citations

10.

Sharma, Harish, et al.. (2022). Fitness-Based Grey Wolf Optimizer Clustering Method for Spam Review Detection. Mathematical Problems in Engineering. 2022. 1–15. 3 indexed citations

11.

Sharma, Harish, et al.. (2021). Face Recognition Based Smart and Robust Attendance Monitoring using Deep CNN. International Conference on Computing for Sustainable Global Development. 699–704. 4 indexed citations

12.

Sharma, Harish, et al.. (2021). Memetic Spider Monkey Optimization for Spam Review Detection Problem. Big Data. 11(2). 137–149. 2 indexed citations

13.

Sharma, Harish, et al.. (2021). Modified SIRD Model for COVID-19 Spread Prediction for Northern and Southern States of India. Chaos Solitons & Fractals. 148. 111039–111039. 9 indexed citations

14.

Bundele, Mahesh, Harish Sharma, Mukesh Kumar Gupta, & Pushpendra Singh Sisodia. (2020). An Elderly Fall Detection System using Depth Images. 29. 1–4. 3 indexed citations

15.

Sharma, Sourabh, et al.. (2020). Artificial intelligence based watermarking in hybrid DDS domain for security of colour images. International Journal of Intelligent Engineering Informatics. 8(4). 331–331. 2 indexed citations

16.

Sharma, Sourabh, et al.. (2019). An adaptive color image watermarking using RDWT-SVD and artificial bee colony based quality metric strength factor optimization. Applied Soft Computing. 84. 105696–105696. 74 indexed citations

17.

Sharma, Harish, et al.. (2019). Iot Based Home Security System with Wireless Sensors and Telegram Messenger. SSRN Electronic Journal. 1 indexed citations

18.

Kashyap, Seema, et al.. (2019). Nephroprotective Effect of Luteolin against Gentamicin-induced Nephrooxicity in Albino Rats. Research Journal of Pharmaceutical Dosage Forms and Technology. 11(3). 181–181. 4 indexed citations

19.

Jadon, Shimpi Singh, Ritu Tiwari, Harish Sharma, & Jagdish Chand Bansal. (2017). Hybrid Artificial Bee Colony algorithm with Differential Evolution. Applied Soft Computing. 58. 11–24. 160 indexed citations

20.

Bansal, Jagdish Chand, Harish Sharma, & Shimpi Singh Jadon. (2013). Artificial bee colony algorithm: a survey. International Journal of Advanced Intelligence Paradigms. 5(1/2). 123–123. 134 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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