Prashant Narayankar

487 total citations
7 papers, 279 citations indexed

About

Prashant Narayankar is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Prashant Narayankar has authored 7 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Prashant Narayankar's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Big Data and Business Intelligence (1 paper) and Technology Adoption and User Behaviour (1 paper). Prashant Narayankar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Big Data and Business Intelligence (1 paper) and Technology Adoption and User Behaviour (1 paper). Prashant Narayankar collaborates with scholars based in India. Prashant Narayankar's co-authors include Priyadarshini Patil, Meena S.M., D. G. Narayan, M. Vijayalakshmi, Padmashree Desai, Meenaxi M Raikar and Vishwanath P. Baligar and has published in prestigious journals such as Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation, Lecture notes in networks and systems and Procedia Computer Science.

In The Last Decade

Prashant Narayankar

7 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prashant Narayankar India	5	142	140	76	67	37	7	279
Meena S.M. India	3	165 1.2×	160 1.1×	77 1.0×	62 0.9×	40 1.1×	6	309
Nirmalya Kar India	10	185 1.3×	86 0.6×	70 0.9×	57 0.9×	53 1.4×	35	354
Micah Goldblum United States	6	147 1.0×	231 1.6×	29 0.4×	38 0.6×	70 1.9×	21	386
Shivendra Shivani India	12	211 1.5×	95 0.7×	121 1.6×	96 1.4×	24 0.6×	44	418
Jianye Yang China	9	104 0.7×	132 0.9×	49 0.6×	55 0.8×	85 2.3×	28	269
Lamri Laouamer Saudi Arabia	13	309 2.2×	81 0.6×	45 0.6×	48 0.7×	46 1.2×	44	439
Jamie Hayes United Kingdom	9	249 1.8×	502 3.6×	38 0.5×	70 1.0×	80 2.2×	23	669
C. Nalini India	7	47 0.3×	104 0.7×	60 0.8×	84 1.3×	20 0.5×	39	292
Mingsheng Cao China	9	146 1.0×	135 1.0×	80 1.1×	76 1.1×	34 0.9×	30	334

Countries citing papers authored by Prashant Narayankar

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Narayankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Narayankar

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Narayankar, Prashant & Vishwanath P. Baligar. (2024). Explainability of Brain Tumor Classification Based on Region. 1–6. 6 indexed citations

2.

Narayankar, Prashant & Vishwanath P. Baligar. (2021). A Systematic Review of Video Analytics Using Machine Learning and Deep Learning—A Survey. Lecture notes in networks and systems. 659–666. 1 indexed citations

3.

Raikar, Meenaxi M, Padmashree Desai, M. Vijayalakshmi, & Prashant Narayankar. (2018). Upsurge of IoT (Internet of Things) in engineering education: A case study. 191–197. 18 indexed citations

4.

Raikar, Meenaxi M, Padmashree Desai, M. Vijayalakshmi, & Prashant Narayankar. (2018). Augmenting Cloud concepts learning with Open source software environment. 1. 1405–1411. 8 indexed citations

5.

Narayankar, Prashant, et al.. (2016). Innovative Techniques of Digital Crime Investigation. Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation. 30. 1 indexed citations

6.

Patil, Priyadarshini, Prashant Narayankar, D. G. Narayan, & Meena S.M.. (2016). A Comprehensive Evaluation of Cryptographic Algorithms: DES, 3DES, AES, RSA and Blowfish. Procedia Computer Science. 78. 617–624. 232 indexed citations

7.

Patil, Priyadarshini, et al.. (2016). An efficient method of detecting exudates in diabetic retinopathy: Using texture edge features. 1188–1191. 13 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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