V.K. Agrawal

401 total citations
13 papers, 255 citations indexed

About

V.K. Agrawal is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, V.K. Agrawal has authored 13 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Signal Processing and 3 papers in Hardware and Architecture. Recurrent topics in V.K. Agrawal's work include Evolutionary Algorithms and Applications (3 papers), Embedded Systems Design Techniques (3 papers) and Neural Networks and Applications (2 papers). V.K. Agrawal is often cited by papers focused on Evolutionary Algorithms and Applications (3 papers), Embedded Systems Design Techniques (3 papers) and Neural Networks and Applications (2 papers). V.K. Agrawal collaborates with scholars based in India. V.K. Agrawal's co-authors include J. K. Kishore, V. Mani, L.M. Patnaik, M. C. Ramadevi, J. Manikandan, V. Girish, Anuj Nandi and M. Narasimha Murty and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

V.K. Agrawal

12 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V.K. Agrawal India	5	170	35	30	27	21	13	255
Peter Schüller Türkiye	12	282 1.7×	114 3.3×	11 0.4×	58 2.1×	15 0.7×	46	450
Guillermo Marcus Germany	8	34 0.2×	14 0.4×	15 0.5×	14 0.5×	7 0.3×	16	171
C. Ravishankar United States	8	123 0.7×	73 2.1×	12 0.4×	5 0.2×	28 1.3×	33	322
William Millar United States	9	136 0.8×	22 0.6×	2 0.1×	16 0.6×	20 1.0×	19	249
Dionysios Diamantopoulos Switzerland	9	50 0.3×	52 1.5×	22 0.7×	4 0.1×	21 1.0×	36	229
Kalyan Kumaran United States	13	73 0.4×	42 1.2×	4 0.1×	9 0.3×	144 6.9×	25	506
Tsui-Wei Weng United States	8	105 0.6×	26 0.7×	9 0.3×	5 0.2×	3 0.1×	20	271
Cheng‐Chin Chiang Taiwan	11	78 0.5×	174 5.0×	11 0.4×	18 0.7×	1 0.0×	32	319
Arnaud Bergeron Canada	3	100 0.6×	71 2.0×	6 0.2×	2 0.1×	8 0.4×	4	203
Sain-Zee Ueng United States	6	54 0.3×	41 1.2×	12 0.4×	2 0.1×	54 2.6×	10	374

Countries citing papers authored by V.K. Agrawal

Since Specialization

Citations

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

Fields of papers citing papers by V.K. Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.K. Agrawal. 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 V.K. Agrawal. The network helps show where V.K. Agrawal may publish in the future.

Co-authorship network of co-authors of V.K. Agrawal

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

All Works

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13 of 13 papers shown

1.

Agrawal, V.K., Anuj Nandi, V. Girish, & M. C. Ramadevi. (2018). Spectral and timing properties of atoll source 4U 1705-44: LAXPC/AstroSat results. Monthly Notices of the Royal Astronomical Society. 477(4). 5437–5446. 27 indexed citations

2.

Manikandan, J., et al.. (2017). Hardware implementation of support vector machine classifier using reconfigurable architecture. 45–50. 4 indexed citations

3.

Manikandan, J., et al.. (2017). Design and evaluation of reconfigurable filters. 55. 2021–2026. 1 indexed citations

4.

Manikandan, J., et al.. (2016). Design and implementation of reconfigurable coders for communication systems. 1–5. 5 indexed citations

5.

Manikandan, J. & V.K. Agrawal. (2014). Digital Circuit Design Using Support Vector Machines. 1114–1118. 4 indexed citations

6.

Manikandan, J., et al.. (2014). FPGA implementation of dynamically tunable filters. 1852–1857. 6 indexed citations

7.

Agrawal, V.K., et al.. (2012). Implementation of bistcontroller for fault detection in CLB of FPGA. e83 d. 99–104. 2 indexed citations

8.

Agrawal, V.K., et al.. (2011). VHDL implementation of BIST controller. 188–190. 4 indexed citations

9.

Murty, M. Narasimha, et al.. (2008). Clustering Large Symbolic Datasets.

10.

Agrawal, V.K., et al.. (2005). Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 14. 326–331. 3 indexed citations

11.

Murty, M. Narasimha, et al.. (2005). Hybrid Learning Scheme for Data Mining Applications. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 24. 266–271. 2 indexed citations

12.

Kishore, J. K., L.M. Patnaik, V. Mani, & V.K. Agrawal. (2001). Genetic programming based pattern classification with feature space partitioning. Information Sciences. 131(1-4). 65–86. 18 indexed citations

13.

Kishore, J. K., L.M. Patnaik, V. Mani, & V.K. Agrawal. (2000). Application of genetic programming for multicategory pattern classification. IEEE Transactions on Evolutionary Computation. 4(3). 242–258. 179 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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