Manish Kumar Bajpai

1.2k total citations
75 papers, 744 citations indexed

About

Manish Kumar Bajpai is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Manish Kumar Bajpai has authored 75 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 19 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Biomedical Engineering. Recurrent topics in Manish Kumar Bajpai's work include Medical Image Segmentation Techniques (13 papers), Medical Imaging Techniques and Applications (11 papers) and Advanced X-ray and CT Imaging (9 papers). Manish Kumar Bajpai is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Medical Imaging Techniques and Applications (11 papers) and Advanced X-ray and CT Imaging (9 papers). Manish Kumar Bajpai collaborates with scholars based in India, United States and United Kingdom. Manish Kumar Bajpai's co-authors include Koushlendra Kumar Singh, Pritee Khanna, Suresh G. Advani, Ajay K. Prasad, Vivek Kumar Shukla, Manpreet Singh, Prabhat Munshi, Suraj Kumar, Phalguni Gupta and Rajesh K. Pandey and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Expert Systems with Applications.

In The Last Decade

Manish Kumar Bajpai

65 papers receiving 725 citations

Peers

Manish Kumar Bajpai

CVPR

RNMI

Ying Zou China

Ahmed Ali Pakistan

Tianlei Wang China

Himadri Sekhar Dutta India

Yisha Lan China

Fida Hussain China

Yanxia Zhao China

Yongyi Lu China

Bo Dong China

Ying Zou China

Manish Kumar Bajpai

179 ×0.9

CVPR

54 ×0.3

RNMI

73 ×0.5

420 ×3.3

108 ×0.9

Citations per year, relative to Manish Kumar Bajpai Manish Kumar Bajpai (= 1×) peers Ying Zou

Countries citing papers authored by Manish Kumar Bajpai

Since Specialization

Citations

This map shows the geographic impact of Manish Kumar Bajpai'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 Bajpai 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 Bajpai more than expected).

Fields of papers citing papers by Manish Kumar Bajpai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Kumar Bajpai. A scholar is included among the top collaborators of Manish Kumar Bajpai 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 Bajpai. Manish Kumar Bajpai 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

Bajpai, Manish Kumar, et al.. (2024). A priority-based self-guided serial–parallel genetic algorithm for low-dose computed tomography. Applied Soft Computing. 157. 111520–111520. 1 indexed citations

Bajpai, Manish Kumar, et al.. (2024). Impact of Osteocalcin on Glycemic Regulation and Insulin Sensitivity in Type 2 Diabetes Mellitus Patients. Cureus. 16(10). e71675–e71675.

Bajpai, Manish Kumar, et al.. (2024). Interplay of Adiponectin With Glycemic and Metabolic Risk Metrics in Patients With Diabetes. Cureus. 16(9). e70543–e70543.

Bajpai, Manish Kumar, et al.. (2024). P216 STUDY OF BLOOD PRESSURE VARIABILITY DURING DIFFERENT PHASES OF MENSTRUAL CYCLE IN APPARENTLY HEALTHY FEMALES. Journal of Hypertension. 42(Suppl 3). e144–e144.

Maras, Jaswinder Singh, Sunil Nagpal, Bhupesh Taneja, et al.. (2024). Multi‐omics analysis identifies potential microbial and metabolite diagnostic biomarkers of bacterial vaginosis. Journal of the European Academy of Dermatology and Venereology. 38(6). 1152–1165. 4 indexed citations

Bajpai, Manish Kumar, et al.. (2024). Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy. Applied Soft Computing. 167. 112374–112374. 3 indexed citations

Bajpai, Manish Kumar, et al.. (2023). Efficient Machine Learning and Factional Calculus Based Mathematical Model for Early COVID Prediction. SHILAP Revista de lepidopterología. 3(4). 508–520.

Bajpai, Manish Kumar. (2023). Brief Smell Identification Test-1, An odor impairment Test in Patients of Depression. Physiology. 38(S1). 1 indexed citations

Bajpai, Manish Kumar, et al.. (2021). Fractional Model with Social Distancing Parameter for Early Estimation of COVID-19 Spread. Arabian Journal for Science and Engineering. 47(1). 209–218. 5 indexed citations

10.

Bajpai, Manish Kumar, et al.. (2021). Machine Vision and Augmented Intelligence—Theory and Applications. Lecture notes in electrical engineering. 9 indexed citations

11.

Bajpai, Manish Kumar, et al.. (2020). SEIHCRD Model for COVID-19 Spread Scenarios, Disease Predictions and Estimates the Basic Reproduction Number, Case Fatality Rate, Hospital, and ICU Beds Requirement. Computer Modeling in Engineering & Sciences. 125(3). 991–1031. 6 indexed citations

12.

Bajpai, Manish Kumar, et al.. (2020). Study of Non-Pharmacological Interventions on COVID-19 Spread. Computer Modeling in Engineering & Sciences. 125(3). 967–990. 4 indexed citations

13.

Singh, Koushlendra Kumar, et al.. (2020). Kalman filter based short term prediction model for COVID-19 spread. Applied Intelligence. 51(5). 2714–2726. 47 indexed citations

14.

Bajpai, Manish Kumar, et al.. (2019). Mesh free alternate directional implicit method based three dimensional super-diffusive model for benign brain tumor segmentation. Computers & Mathematics with Applications. 77(12). 3212–3223. 10 indexed citations

15.

Tiwari, Sunita, et al.. (2019). Anthropometric Profile and Nutritional Status in Children with Generalized Epilepsy. International Journal of Contemporary Medical Research [IJCMR]. 6(5). 2 indexed citations

16.

Bajpai, Manish Kumar, et al.. (2018). Effect of age on cardiac output after coronary angioplasty in patients of acute myocardial infarction. National Journal of Physiology Pharmacy and Pharmacology. 8(9). 1235–1235. 1 indexed citations

17.

Gupta, Ankit, et al.. (2017). Noninvasive recording of electrocardiogram in conscious rat: A new device. Indian Journal of Pharmacology. 49(1). 116–116. 8 indexed citations

18.

Bajpai, Manish Kumar, et al.. (2017). Globally supported radial basis function based collocation method for evolution of level set in mass segmentation using mammograms. Computers in Biology and Medicine. 87. 22–37. 22 indexed citations

19.

Bajpai, Manish Kumar, et al.. (2016). Training Needs of Rice Growers : A Case of Uttarakhand. Indian Research Journal of Extension Education. 7(3). 38–40. 3 indexed citations

20.

Singh, Binod Kumar, et al.. (2013). Impact of communication technology on status of farmers: a socio economic analysis of Rural India.. International Journal of Agricultural Technology. 9(3). 503–514. 1 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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