Manish Kumar Jindal

690 total citations
37 papers, 483 citations indexed

About

Manish Kumar Jindal is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomaterials. According to data from OpenAlex, Manish Kumar Jindal has authored 37 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 5 papers in Biomaterials. Recurrent topics in Manish Kumar Jindal's work include Handwritten Text Recognition Techniques (12 papers), Vehicle License Plate Recognition (10 papers) and Polysaccharides Composition and Applications (5 papers). Manish Kumar Jindal is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Vehicle License Plate Recognition (10 papers) and Polysaccharides Composition and Applications (5 papers). Manish Kumar Jindal collaborates with scholars based in India and United Kingdom. Manish Kumar Jindal's co-authors include Ashok K. Tiwary, Vineet Kumar, Vikas Rana, Bharti Sapra, Rajendra Kumar Sharma, Gurpreet Singh Lehal, Munish Kumar, Naveen Aggarwal, Amanpreet Singh and Anupam Garg and has published in prestigious journals such as Carbohydrate Polymers, Food Hydrocolloids and International Journal of Biological Macromolecules.

In The Last Decade

Manish Kumar Jindal

33 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Kumar Jindal India 14 135 108 99 77 72 37 483
Megha Agarwal India 11 18 0.1× 127 1.2× 26 0.3× 37 0.5× 78 1.1× 58 467
A. Karthik India 14 69 0.5× 40 0.4× 56 0.6× 8 0.1× 27 0.4× 55 442
Nouf M. Alzahrani Saudi Arabia 10 27 0.2× 140 1.3× 22 0.2× 36 0.5× 17 0.2× 15 563
Haotian Deng China 19 191 1.4× 36 0.3× 135 1.4× 24 0.3× 51 0.7× 58 980
Xin Qiao China 14 155 1.1× 77 0.7× 69 0.7× 25 0.3× 45 0.6× 56 780
Mahmoud Ibrahim Egypt 15 107 0.8× 410 3.8× 24 0.2× 453 5.9× 71 1.0× 25 1.1k
Mohsen Zandi Iran 20 300 2.2× 153 1.4× 132 1.3× 100 1.3× 543 7.5× 68 979
Rajeshkumar Shanmugam India 14 68 0.5× 22 0.2× 162 1.6× 12 0.2× 76 1.1× 102 813
Lijun Sun China 13 20 0.1× 124 1.1× 19 0.2× 28 0.4× 51 0.7× 61 549

Countries citing papers authored by Manish Kumar Jindal

Since Specialization
Citations

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

Fields of papers citing papers by Manish Kumar Jindal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Kumar Jindal

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Kumar Jindal. A scholar is included among the top collaborators of Manish Kumar Jindal 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 Manish Kumar Jindal. Manish Kumar Jindal 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.
Jindal, Manish Kumar, et al.. (2024). The role of MoS2 reinforcement particles in enhancement of mechanical and wear properties of magnesium matrix composites: A review. Materials Today Proceedings. 3 indexed citations
2.
Kant, Suman, et al.. (2024). Experimental investigation on mechanical performance and drilling behavior of hybrid polymer composites through statistical and machine learning approach. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(6). 3350–3361. 8 indexed citations
3.
Kumar, Vikas, et al.. (2023). Advantages and applications of sisal fiber reinforced hybrid polymer composites in automobiles: A literature review. Materials Today Proceedings. 14 indexed citations
4.
Gupta, Sumit, et al.. (2023). Life cycle assessment of extraction of edible oil from mustard seeds: A case study of an oil industry. Materials Today Proceedings. 8 indexed citations
6.
Dangayach, G.S., et al.. (2023). Modelling challenges of blockchain technology enabled healthcare sustainable supply chain management: a modified-total interpretive structural modelling approach. Operations Management Research. 16(4). 1781–1790. 12 indexed citations
7.
Jindal, Manish Kumar, et al.. (2022). Recognition of typewritten Gurmukhi characters. International Journal of Computer Aided Engineering and Technology. 17(3). 257–257.
8.
Jindal, Manish Kumar, et al.. (2019). Drop flow method: an iterative algorithm for complete segmentation of Devanagari ancient manuscripts. Multimedia Tools and Applications. 78(16). 23255–23280. 9 indexed citations
9.
Garg, Anupam, Manish Kumar Jindal, & Amanpreet Singh. (2019). Degraded offline handwritten Gurmukhi character recognition: study of various features and classifiers. International Journal of Information Technology. 14(1). 145–153. 10 indexed citations
10.
Aggarwal, Geeta, Manish Kumar Jindal, Ashish Baldi, et al.. (2018). Ultrasound, microwave and Box-Behnken Design amalgamation offered superior yield of gum from Abelmoschus esculentus: Electrical, chemical and functional peculiarity. Computers and Electronics in Agriculture. 145. 169–178. 13 indexed citations
11.
Jindal, Manish Kumar, et al.. (2016). Problems in Making OCR of Gurumukhi Script Newspapers. International Journal of Advanced Research in Computer Science. 7(6). 2 indexed citations
12.
Kumar, Munish, et al.. (2016). Offline handwritten pre-segmented character recognition of Gurmukhi script. 25(1/4). 45–55. 7 indexed citations
13.
Aggarwal, Naveen, et al.. (2014). An Optimized Approach to CPU Scheduling Algorithm: Min-max. Journal of Emerging Technologies in Web Intelligence. 6(4). 420–428. 2 indexed citations
14.
Gupta, Vishal, et al.. (2014). A Survey of Language Identification Techniques and Applications. Journal of Emerging Technologies in Web Intelligence. 6(4). 388–400. 16 indexed citations
15.
Sapra, Bharti, et al.. (2014). Understanding Pharmaceutical Polymorphic Transformations I: Influence of Process Variables and Storage Conditions. Therapeutic Delivery. 5(10). 1123–1142. 24 indexed citations
16.
Jindal, Manish Kumar, Vineet Kumar, Vikas Rana, & Ashok K. Tiwary. (2012). An insight into the properties of Aegle marmelos pectin–chitosan cross-linked films. International Journal of Biological Macromolecules. 52. 77–84. 23 indexed citations
17.
Jindal, Manish Kumar, Vikas Rana, Vineet Kumar, et al.. (2012). Sulfation of Aegle marmelos gum: Synthesis, physico-chemical and functional characterization. Carbohydrate Polymers. 92(2). 1660–1668. 28 indexed citations
18.
Jindal, Manish Kumar, Vineet Kumar, Vikas Rana, & Ashok K. Tiwary. (2012). Aegle marmelos fruit pectin for food and pharmaceuticals: Physico-chemical, rheological and functional performance. Carbohydrate Polymers. 93(2). 386–394. 49 indexed citations
19.
Jindal, Manish Kumar, Vineet Kumar, Vikas Rana, & Ashok K. Tiwary. (2012). Physico-chemical, mechanical and electrical performance of bael fruit gum–chitosan IPN films. Food Hydrocolloids. 30(1). 192–199. 31 indexed citations
20.
Jindal, Manish Kumar, Gurpreet Singh Lehal, & R. K. Sharma. (2007). A Study Of Touching Characters In Degraded Gurmukhi Text. Zenodo (CERN European Organization for Nuclear Research). 1(4). 1066–1069. 6 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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