Neeraj Kumar

1.5k total citations · 1 hit paper
31 papers, 693 citations indexed

About

Neeraj Kumar is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Neeraj Kumar has authored 31 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Neeraj Kumar's work include Energy Load and Power Forecasting (10 papers), Electric Power System Optimization (6 papers) and Smart Grid Energy Management (4 papers). Neeraj Kumar is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Electric Power System Optimization (6 papers) and Smart Grid Energy Management (4 papers). Neeraj Kumar collaborates with scholars based in India, United States and Malaysia. Neeraj Kumar's co-authors include Peter N. Belhumeur, David Kriegman, David W. Jacobs, Dmitri Bitouk, Shree K. Nayar, M. M. Tripathi, Steve Seitz, Arnav Wadhwa, Rajat Gupta and K. Sudha and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Transactions on Graphics and Sustainability.

In The Last Decade

Neeraj Kumar

28 papers receiving 669 citations

Hit Papers

Localizing parts of faces using a consensus of exemplars 2011 2026 2016 2021 2011 100 200 300
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.

  1. Localizing parts of faces using a consensus of exemplars
    2011 341 citations Peter N. Belhumeur, David W. Jacobs et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neeraj Kumar India 7 542 152 76 59 44 31 693
Imtiaz Ahmad Taj Pakistan 13 299 0.6× 150 1.0× 59 0.8× 66 1.1× 8 0.2× 64 520
Eng-Jon Ong United Kingdom 17 396 0.7× 175 1.2× 41 0.5× 60 1.0× 24 0.5× 41 684
José M. Buenaposada Spain 14 522 1.0× 102 0.7× 22 0.3× 58 1.0× 33 0.8× 31 626
Aladine Chetouani France 16 448 0.8× 62 0.4× 72 0.9× 39 0.7× 135 3.1× 89 741
Jongmoo Choi United States 17 664 1.2× 200 1.3× 23 0.3× 55 0.9× 75 1.7× 37 782
Abdolah Chalechale Iran 11 373 0.7× 71 0.5× 24 0.3× 64 1.1× 14 0.3× 64 548
Alberto Albiol Spain 13 732 1.4× 177 1.2× 25 0.3× 84 1.4× 11 0.3× 51 892
Qi Yin China 10 829 1.5× 226 1.5× 33 0.4× 77 1.3× 42 1.0× 10 1.1k
Hiroyasu Koshimizu Japan 12 380 0.7× 46 0.3× 33 0.4× 23 0.4× 82 1.9× 140 501
Yujie Li China 11 183 0.3× 76 0.5× 56 0.7× 42 0.7× 126 2.9× 76 359

Countries citing papers authored by Neeraj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Kumar. A scholar is included among the top collaborators of Neeraj 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 Neeraj Kumar. Neeraj 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.
Kumar, Neeraj, et al.. (2024). Studies on Hydrogeochemistry and Human Health Risks of Groundwater in Hazaribag City, Jharkhand, India. International Journal of Ecology and Environmental Sciences. 50(2). 285–302.
2.
Kumar, Neeraj & Ritu Chauhan. (2024). Speculation of Stock Marketing Using Advanced Recursive Techniques. 19(1). 1–18.
3.
4.
Kumar, Neeraj, M. M. Tripathi, Saket Gupta, et al.. (2023). Study of Potential Impact of Wind Energy on Electricity Price Using Regression Techniques. Sustainability. 15(19). 14448–14448. 3 indexed citations
5.
Kumar, Neeraj, Ravindra Kumar Garg, Hardeep Singh Malhotra, et al.. (2022). Value of whole-body MRI for the assessment of response to albendazole in disseminated neurocysticercosis: a prospective follow-up study. Transactions of the Royal Society of Tropical Medicine and Hygiene. 117(4). 271–278. 2 indexed citations
6.
Kumar, Neeraj & M. M. Tripathi. (2021). Design of a Novel Solar Energy Market Model for Indian Scenario. Journal of Electrical Engineering and Technology. 2 indexed citations
7.
Kumar, Neeraj, et al.. (2021). Comparative investigation of machine learning algorithms for detection of epileptic seizures. Intelligent Decision Technologies. 15(2). 269–279. 3 indexed citations
8.
Malhotra, Hardeep Singh, Ravindra Kumar Garg, Kiran Preet Malhotra, et al.. (2020). Quantitative assessment of lesion load and efficacy of 3 cycles of albendazole in disseminated cysticercosis: a prospective evaluation. BMC Infectious Diseases. 20(1). 220–220. 13 indexed citations
9.
Sudha, K., et al.. (2020). GA-ANN hybrid approach for load forecasting. Journal of Statistics and Management Systems. 23(1). 135–144. 4 indexed citations
10.
Kumar, Neeraj, et al.. (2020). Machine learning models for renewable energy forecasting. Journal of Statistics and Management Systems. 23(1). 171–180. 10 indexed citations
11.
Kumar, Neeraj, et al.. (2020). Comparative Evaluation of Quad Shot versus Twice Weekly Palliative Radiotherapy for Locally Advanced Head and Neck Cancer. SHILAP Revista de lepidopterología. 7(12). 605–609.
12.
Kumar, Neeraj & M. M. Tripathi. (2020). Solar Power Trading Models for Restructured Electricity Market in India. Asian Journal of Water Environment and Pollution. 17(2). 49–54. 4 indexed citations
13.
Kumar, Neeraj, et al.. (2019). Deep Learning with Convolutional Neural Network for Controlling Human Arm Prosthesis using sEMG signals. 4 indexed citations
14.
Kumar, Neeraj, et al.. (2019). The spectrum of malignancies presenting with neurological manifestations. SHILAP Revista de lepidopterología. 8(11). 3726–3735. 2 indexed citations
15.
Sudha, K., et al.. (2019). LabVIEW based application software for GPS radiosonde system. Journal of Information and Optimization Sciences. 40(2). 413–426. 1 indexed citations
16.
Kumar, Jayendra, et al.. (2019). LBPriu2 Features for Classification of Radiographic Weld Images. 160–165. 1 indexed citations
17.
Kumar, Neeraj & M. M. Tripathi. (2017). Evaluation of effectiveness of ANN for feature selection based electricity price forecasting. 1–5. 3 indexed citations
18.
19.
Singh, Maneesh Kumar, et al.. (2013). MRI of the spinal tuberculoma, paravertebral tubercular abscess and pulmonary tuberculosis. BMJ Case Reports. 2013. bcr2013201098–bcr2013201098. 1 indexed citations
20.
Belhumeur, Peter N., David W. Jacobs, David Kriegman, & Neeraj Kumar. (2011). Localizing parts of faces using a consensus of exemplars. 545–552. 341 indexed citations breakdown →

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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