Prabhat Kumar

880 total citations
36 papers, 646 citations indexed

About

Prabhat Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Prabhat Kumar has authored 36 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Prabhat Kumar's work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (5 papers) and Molecular Sensors and Ion Detection (3 papers). Prabhat Kumar is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (5 papers) and Molecular Sensors and Ion Detection (3 papers). Prabhat Kumar collaborates with scholars based in India, United States and South Korea. Prabhat Kumar's co-authors include Alok Choudhary, Yan Pan, John Kim, Gokhan Memik, Yu Zhang, Yu Zhang, Saripella Srikrishna, Vinod P. Singh, Ananya Srivastava and Gautam Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Actuators B Chemical and International Journal of Biological Macromolecules.

In The Last Decade

Prabhat Kumar

32 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhat Kumar India 12 390 183 80 66 56 36 646
Yongfeng Gu United States 12 93 0.2× 112 0.6× 110 1.4× 189 2.9× 23 0.4× 30 418
Jiang Li China 14 249 0.6× 116 0.6× 15 0.2× 113 1.7× 58 1.0× 73 638
Michael De Rosa United States 15 140 0.4× 510 2.8× 46 0.6× 16 0.2× 92 1.6× 62 1.1k
Alan Ford United States 10 271 0.7× 489 2.7× 30 0.4× 16 0.2× 31 0.6× 31 638
Yimin Guo China 15 44 0.1× 255 1.4× 91 1.1× 32 0.5× 21 0.4× 31 486
Kefei Wang China 11 42 0.1× 151 0.8× 64 0.8× 63 1.0× 21 0.4× 49 400
Di Gao China 14 329 0.8× 27 0.1× 21 0.3× 69 1.0× 41 0.7× 66 615
Donghyun Kwon South Korea 10 102 0.3× 171 0.9× 123 1.5× 40 0.6× 31 0.6× 43 350

Countries citing papers authored by Prabhat Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhat Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhat Kumar. A scholar is included among the top collaborators of Prabhat Kumar 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 Prabhat Kumar. Prabhat Kumar 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.
Bharti, Prahalad Singh, Prabhat Kumar, Brijesh Singh Chauhan, et al.. (2024). Rhodanine composite fluorescence probes to detect pathological hallmarks in Alzheimer's disease models. Sensors and Actuators B Chemical. 407. 135364–135364. 11 indexed citations
2.
3.
Reddy, K. Rama, Brijesh Singh Chauhan, Prabhat Kumar, et al.. (2024). Safety Study and Compositional Analysis of the Svarnvir-IV Tablet With Special Reference to Its Therapeutic Utility in SARS-CoV-2. Cureus. 16(12). e75438–e75438. 2 indexed citations
4.
5.
Kumar, Prabhat, et al.. (2024). Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors. Evolving Systems. 15(4). 1475–1486. 1 indexed citations
6.
Kumar, Gautam, Ananya Srivastava, Prabhat Kumar, Saripella Srikrishna, & Vinod P. Singh. (2024). A chromogenic diarylethene-based probe for the detection of Cu2+ in aqueous medium in Drosophila for early diagnosis of Alzheimer. Heliyon. 10(1). e24074–e24074. 4 indexed citations
7.
Kumar, Prabhat, Govind Vashishtha, Sumika Chauhan, et al.. (2024). Fault Identification of Direct-Shift Gearbox Using Variational Mode Decomposition and Convolutional Neural Network. Machines. 12(7). 428–428. 12 indexed citations
8.
Amin, Sk. Abdul, et al.. (2023). Exploring structural requirements of HDAC10 inhibitors through comparative machine learning approaches. Journal of Molecular Graphics and Modelling. 123. 108510–108510. 7 indexed citations
9.
10.
Srivastava, Ananya, et al.. (2023). Quinazoli-4-one ionic liquid as a fluorescent sensor for NH3 detection: Interaction with ctDNA, theoretical investigation and live cell bioimaging. International Journal of Biological Macromolecules. 235. 123832–123832. 6 indexed citations
11.
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Amin, Sk. Abdul, et al.. (2021). Exploring sodium glucose cotransporter (SGLT2) inhibitors with machine learning approach: A novel hope in anti-diabetes drug discovery. Journal of Molecular Graphics and Modelling. 111. 108106–108106. 16 indexed citations
13.
Nandi, Subrata, Prabhat Kumar, Sk. Abdul Amin, Tarun Jha, & Shovanlal Gayen. (2021). First molecular modelling report on tri-substituted pyrazolines as phosphodiesterase 5 (PDE5) inhibitors through classical and machine learning based multi-QSAR analysis. SAR and QSAR in environmental research. 32(11). 917–939. 9 indexed citations
14.
15.
Chauhan, Brijesh Singh, Rohit Kumar, Pradeep Kumar, et al.. (2021). Neuroprotective potential of flavonoid rich Ascophyllum nodosum (FRAN) fraction from the brown seaweed on an Aβ42 induced Alzheimer's model of Drosophila. Phytomedicine. 95. 153872–153872. 19 indexed citations
16.
Kumar, Prabhat, et al.. (2020). A bibliometric evaluation and analysis on the maturity of scientific research trends on novel coronavirus (COVID-19). Advances In Management. 13(3). 1–13. 2 indexed citations
17.
Kumar, Prabhat, et al.. (2018). EVALUATION OF FORMOL GEL SLIDE TEST WITH REFERENCE TO BLOOD MICROSCOPY AND ENZYME LINKED IMMUNOSORBANT ASSAY FOR DIAGNOSIS OF SURRA IN CATTLE. Journal of Experimental Biology and Agricultural Sciences. 6(2). 437–442.
18.
Lakshminarasimhan, Sriram, Prabhat Kumar, Wei‐keng Liao, et al.. (2012). On the path to sustainable, scalable, and energy-efficient data analytics: Challenges, promises, and future directions. 34. 1–6. 1 indexed citations
19.
Son, Seung Woo, Samuel Lang, Philip Carns, et al.. (2010). Enabling active storage on parallel I/O software stacks. 1–12. 37 indexed citations
20.
Kumar, Prabhat, et al.. (1986). A resilient distributed protocol for network synchronization. ACM SIGCOMM Computer Communication Review. 16(3). 358–367. 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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