Pravin Chandra

1.4k total citations
84 papers, 870 citations indexed

About

Pravin Chandra is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pravin Chandra has authored 84 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 27 papers in Information Systems and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pravin Chandra's work include Neural Networks and Applications (40 papers), Software Reliability and Analysis Research (20 papers) and Machine Learning and ELM (19 papers). Pravin Chandra is often cited by papers focused on Neural Networks and Applications (40 papers), Software Reliability and Analysis Research (20 papers) and Machine Learning and ELM (19 papers). Pravin Chandra collaborates with scholars based in India and United States. Pravin Chandra's co-authors include Yogesh Singh, K.K. Aggarwal, Nihar Ranjan Roy, Deepak Sharma, Rinkaj Goyal, Sarfaraz Masood, M. Hanmandlu, M. N. Doja, Kulvinder Singh and Udayan Ghose and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

Pravin Chandra

80 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pravin Chandra India 16 348 231 174 164 157 84 870
David R. White United Kingdom 18 546 1.6× 369 1.6× 295 1.7× 208 1.3× 89 0.6× 53 1.3k
Lam Thu Bui Vietnam 17 556 1.6× 136 0.6× 75 0.4× 119 0.7× 116 0.7× 69 1.1k
Fei Xie United States 16 160 0.5× 113 0.5× 148 0.9× 324 2.0× 98 0.6× 110 951
Cong Jin China 20 197 0.6× 311 1.3× 276 1.6× 229 1.4× 279 1.8× 81 983
Shaojin Geng China 8 210 0.6× 244 1.1× 54 0.3× 234 1.4× 118 0.8× 14 639
Shailesh Tiwari India 14 222 0.6× 177 0.8× 63 0.4× 176 1.1× 66 0.4× 61 626
Yifeng Zhang China 15 307 0.9× 258 1.1× 175 1.0× 209 1.3× 356 2.3× 66 875
Gregory Provan Ireland 18 492 1.4× 103 0.4× 130 0.7× 134 0.8× 62 0.4× 112 1.1k

Countries citing papers authored by Pravin Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Pravin Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pravin Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Pravin Chandra. A scholar is included among the top collaborators of Pravin Chandra 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 Pravin Chandra. Pravin Chandra 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.
Chandra, Pravin, et al.. (2024). Improving learning in Artificial Neural Networks using better weight initializations. International Journal of Information Technology. 17(9). 5519–5531. 3 indexed citations
2.
Chandra, Pravin, et al.. (2019). HYBCIM: Hypercube Based Cluster Initialization Method for k-means. International Journal of Innovative Technology and Exploring Engineering. 8(10). 3584–3587. 2 indexed citations
3.
Chandra, Pravin, et al.. (2019). A Comparative Study of Clustering Algorithms. International Conference on Computing for Sustainable Global Development. 801–805. 5 indexed citations
4.
Roy, Nihar Ranjan & Pravin Chandra. (2019). EEDAC-WSN: Energy Efficient Data Aggregation in Clustered WSN. 586–592. 12 indexed citations
5.
Chandra, Pravin, et al.. (2019). MP-K-Means: Modified Partition Based Cluster Initialization Method for K-Means Algorithm. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 1140–1148. 1 indexed citations
6.
Roy, Nihar Ranjan & Pravin Chandra. (2019). Energy Efficient Positioning of Base Station in Clustered WSN. SSRN Electronic Journal.
7.
Bhatia, M. P. S., et al.. (2018). IMPACT OF WEIGHT INITIALIZATION ON TRAINING OF SIGMOIDAL FFANN. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Masood, Sarfaraz, M. N. Doja, & Pravin Chandra. (2016). Analysis of Weight Initialization Routines for Scaled Conjugate Gradient Training Algorithm. 8 2. 533–538. 3 indexed citations
9.
Bhatia, M. P. S., et al.. (2015). Comparison of sigmoidal FFANN training algorithms for function approximation problems. International Conference on Computing for Sustainable Global Development. 717–721. 1 indexed citations
10.
Masood, Sarfaraz, M. N. Doja, & Pravin Chandra. (2015). Analysis of weight initialization techniques for Gradient Descent algorithm. 1–5. 4 indexed citations
11.
Chandra, Pravin, et al.. (2014). A new weight initialization method for sigmoidal feedforward artificial neural networks. 291–298. 13 indexed citations
12.
Goyal, Rinkaj, Pravin Chandra, & Yogesh Singh. (2013). Impact of Interaction in the Combined Metrics Approach for Fault Prediction. 15. 4 indexed citations
13.
Singh, Amit Prakash, et al.. (2013). Metrics for Weight Stuck-at-Zero Fault in Sigmoidal FFANNs. 2. 61–66. 1 indexed citations
14.
Goyal, Rinkaj, Pravin Chandra, & Yogesh Singh. (2013). Identifying influential metrics in the combined metrics approach of fault prediction. SpringerPlus. 2(1). 627–627. 11 indexed citations
15.
Masood, Sarfaraz & Pravin Chandra. (2012). Training neural network with zero weight initialization. 235–239. 9 indexed citations
16.
Sharma, Sudhir Kumar & Pravin Chandra. (2011). A Constructive Algorithm with Adaptive Sigmoidal Function for Designing Single Hidden Layer Feedforward Neural Network. Advanced materials research. 403-408. 3867–3874. 2 indexed citations
17.
Sharma, Sudhir Kumar & Pravin Chandra. (2010). An Adaptive Slope Sigmoidal Function Cascading Neural Networks Algorithm. 531–536. 5 indexed citations
18.
Aggarwal, K.K., et al.. (2005). An expert committee model to estimate lines of code. ACM SIGSOFT Software Engineering Notes. 30(5). 1–4. 9 indexed citations
19.
Chandra, Pravin & Yogesh Singh. (2004). Feedforward Sigmoidal Networks—Equicontinuity and Fault-Tolerance Properties. IEEE Transactions on Neural Networks. 15(6). 1350–1366. 38 indexed citations
20.
Singh, Yogesh & Pravin Chandra. (2003). A class +1 sigmoidal activation functions for FFANNs. Journal of Economic Dynamics and Control. 28(1). 183–187. 35 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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