Gaurav Kumar

1.4k total citations · 1 hit paper
40 papers, 951 citations indexed

About

Gaurav Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Gaurav Kumar has authored 40 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Gaurav Kumar's work include Handwritten Text Recognition Techniques (11 papers), Software Engineering Research (4 papers) and Image Retrieval and Classification Techniques (4 papers). Gaurav Kumar is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Software Engineering Research (4 papers) and Image Retrieval and Classification Techniques (4 papers). Gaurav Kumar collaborates with scholars based in India, United States and Malaysia. Gaurav Kumar's co-authors include Pradeep Kumar Bhatia, Rajesh N. Maniar, Tushar Singhi, Ravi Nayak, Venu Govindaraju, Safwan Wshah, JL Pozo, Sergey Tulyakov, Maheshkumar H. Kolekar and Zhengdao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Orthopaedics and Related Research and Pattern Recognition.

In The Last Decade

Gaurav Kumar

36 papers receiving 888 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Detailed Review of Feature Extraction in Image Processing Systems

2014 305 citations Gaurav Kumar, Pradeep Kumar Bhatia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gaurav Kumar India	11	320	268	226	146	119	40	951
Xiangbin Liu China	13	357 1.1×	9 0.0×	27 0.1×	293 2.0×	22 0.2×	63	998
Yao Zhou China	16	250 0.8×	9 0.0×	22 0.1×	275 1.9×	39 0.3×	49	881
I Ketut Eddy Purnama Indonesia	16	308 1.0×	1 0.0×	125 0.6×	220 1.5×	122 1.0×	187	996
Ximing Wang China	21	75 0.2×	3 0.0×	19 0.1×	156 1.1×	78 0.7×	88	1.1k
Daniel Leite Brazil	20	61 0.2×		126 0.6×	711 4.9×	84 0.7×	82	1.6k
Marcelino Martínez‐Sober Spain	15	51 0.2×	6 0.0×	31 0.1×	95 0.7×	17 0.1×	28	636
Yifan Wang China	11	95 0.3×	2 0.0×	131 0.6×	189 1.3×	86 0.7×	52	601
Salabat Khan China	19	227 0.7×	2 0.0×	18 0.1×	288 2.0×	137 1.2×	60	946
Ali Yaşar Türkiye	15	60 0.2×	4 0.0×	13 0.1×	222 1.5×	94 0.8×	36	732

Countries citing papers authored by Gaurav Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Gaurav Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Kumar

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

1.

Kumar, Gaurav, et al.. (2024). CFAT: Unleashing Triangular Windows for Image Super-resolution. 26120–26129. 26 indexed citations

2.

Kumar, Gaurav, et al.. (2023). Behavioural Finance: A Review of Major Research Themes and Bibliometric Analysis. SHILAP Revista de lepidopterología. 16(32). 1–22. 1 indexed citations

3.

Kumar, Gaurav, et al.. (2023). QOE-based recommender system in the applications of e-learning resources. International Journal of Advanced Intelligence Paradigms. 25(3/4). 398–409.

4.

Kumar, Gaurav, et al.. (2023). A Quality of Experience-based Recommender System for E-learning Resources. International Journal on Recent and Innovation Trends in Computing and Communication. 11(5s). 1–4. 1 indexed citations

5.

Kumar, Gaurav, et al.. (2022). An Effective Bootstrapping Framework for Web Services Discovery Using Trigram Approach. Mobile Information Systems. 2022. 1–12. 3 indexed citations

6.

Kumar, Gaurav, et al.. (2020). A two-way approach for detection and prevention of IP spoofing attacks. AIP conference proceedings. 2277. 20002–20002. 1 indexed citations

7.

Kumar, Gaurav, et al.. (2019). License Plate Tracking using Gradient based Segmentation. 1737–1740. 5 indexed citations

8.

Kumar, Gaurav, et al.. (2017). Design And Implementation Of Tool For Detecting Anti-Patterns In Relational Database. International journal of scientific and technology research. 6(7). 392–395. 1 indexed citations

9.

Maniar, Rajesh N., et al.. (2016). Optimizing effectivity of tranexamic acid in bilateral knee arthroplasty — A prospective randomized controlled study. The Knee. 24(1). 100–106. 10 indexed citations

10.

Kumar, Gaurav & Venu Govindaraju. (2016). Bayesian background models for keyword spotting in handwritten documents. Pattern Recognition. 64. 84–91. 4 indexed citations

11.

Kumar, Gaurav & Pradeep Kumar Bhatia. (2015). Neuro-Fuzzy Model to Estimate & Optimize Quality and Performance of Component Based Software Engineering. ACM SIGSOFT Software Engineering Notes. 40(2). 1–6. 5 indexed citations

12.

Gupta, Neha, et al.. (2014). Dural ectasia. Indian Journal of Anaesthesia. 58(2). 199–199. 5 indexed citations

13.

Kumar, Gaurav & Pradeep Kumar Bhatia. (2014). Automation of Software Cost Estimation using Neural Network Technique. International Journal of Computer Applications. 98(20). 11–17. 9 indexed citations

14.

Kumar, Gaurav & Venu Govindaraju. (2014). A Bayesian Approach to Script Independent Multilingual Keyword Spotting. 5. 357–362. 6 indexed citations

15.

Kumar, Gaurav & Pradeep Kumar Bhatia. (2014). A Detailed Review of Feature Extraction in Image Processing Systems. 5–12. 305 indexed citations breakdown →

16.

Kumar, Gaurav & A. K. Sangwan. (2014). Analytical Review of SQL Server Optimization. 1(2). 66–76.

17.

Maniar, Rajesh N., Gaurav Kumar, Tushar Singhi, & Ravi Nayak. (2012). Most Effective Regimen of Tranexamic Acid in Knee Arthroplasty: A Prospective Randomized Controlled Study in 240 Patients. Clinical Orthopaedics and Related Research. 470(9). 2605–2612. 242 indexed citations

18.

Kumar, Gaurav, et al.. (2012). Keyword Spotting Framework Using Dynamic Background Model. 9. 582–587. 7 indexed citations

19.

Kumar, Gaurav, Sergey Tulyakov, & Venu Govindaraju. (2010). Combination of Symmetric Hash Functions for Secure Fingerprint Matching. 890–893. 39 indexed citations

20.

Kumar, Gaurav, et al.. (2005). Rate of blood loss over 48 hours following total knee replacement. The Knee. 12(4). 307–309. 48 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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