Ritesh Kumar

1.5k total citations
43 papers, 638 citations indexed

About

Ritesh Kumar is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Sensory Systems. According to data from OpenAlex, Ritesh Kumar has authored 43 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 7 papers in Sensory Systems. Recurrent topics in Ritesh Kumar's work include Advanced Chemical Sensor Technologies (15 papers), Olfactory and Sensory Function Studies (7 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Ritesh Kumar is often cited by papers focused on Advanced Chemical Sensor Technologies (15 papers), Olfactory and Sensory Function Studies (7 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Ritesh Kumar collaborates with scholars based in India, United Kingdom and Japan. Ritesh Kumar's co-authors include Rishemjit Kaur, Amol P. Bhondekar, Kumardeep Chaudhary, Gajendra P. S. Raghava, Pawan Kapur, Ankur Gautam, Priya Anand, Abhishek Tuknait, Sandeep Singh and Deepika Mathur and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Ritesh Kumar

39 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritesh Kumar India 14 229 162 104 73 61 43 638
Pekka Kumpulainen Finland 14 124 0.5× 265 1.6× 5 0.0× 93 1.3× 15 0.2× 42 520
Seulki Park South Korea 19 348 1.5× 105 0.6× 34 0.3× 60 0.8× 59 1.0× 95 1.1k
Lars J. Kangas United States 15 750 3.3× 164 1.0× 11 0.1× 36 0.5× 21 0.3× 31 1.5k
Masaya Ohta Japan 14 223 1.0× 95 0.6× 5 0.0× 70 1.0× 104 1.7× 56 737
Xiaonan Yang China 19 412 1.8× 242 1.5× 7 0.1× 180 2.5× 5 0.1× 111 1.1k
Peter Schmitt United States 9 329 1.4× 908 5.6× 8 0.1× 283 3.9× 166 2.7× 12 1.2k
Sheng Sun China 15 429 1.9× 44 0.3× 6 0.1× 84 1.2× 45 0.7× 61 936
Harjeet Kaur India 16 399 1.7× 40 0.2× 28 0.3× 18 0.2× 23 0.4× 58 933
Md Mehedi Hasan Japan 34 2.6k 11.3× 200 1.2× 394 3.8× 7 0.1× 321 5.3× 96 3.0k
Chenge Li France 18 347 1.5× 78 0.5× 10 0.1× 24 0.3× 12 0.2× 34 778

Countries citing papers authored by Ritesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ritesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ritesh Kumar. A scholar is included among the top collaborators of Ritesh 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 Ritesh Kumar. Ritesh 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, Ritesh, et al.. (2025). Deep Learning for Odor Prediction on Aroma-Chemical Blends. ACS Omega. 10(9). 8980–8992.
2.
Kumar, Ritesh, et al.. (2025). A Fully In Silico Protocol to Understand Olfactory Receptor–Odorant Interactions. ACS Omega. 10(23). 24030–24049. 1 indexed citations
4.
Kumar, Ritesh, et al.. (2024). A multidisciplinary diagnostic centre for early detection of cancer in patients with non-specific symptoms: a service evaluation. British Journal of Healthcare Management. 30(3). 58–67. 1 indexed citations
5.
Sharma, Arun, et al.. (2023). Chemometrics driven portable Vis-SWNIR spectrophotometer for non-destructive quality evaluation of raw tomatoes. Chemometrics and Intelligent Laboratory Systems. 242. 105001–105001. 4 indexed citations
6.
Sharma, Arun, et al.. (2023). Machine learning driven portable Vis-SWNIR spectrophotometer for non-destructive classification of raw tomatoes based on lycopene content. Vibrational Spectroscopy. 130. 103628–103628. 4 indexed citations
7.
Suhag, Rajat, Atul Dhiman, Arun Sharma, et al.. (2022). Fruit peel bioactives, valorisation into nanoparticles and potential applications: A review. Critical Reviews in Food Science and Nutrition. 63(24). 6757–6776. 51 indexed citations
8.
Kumar, Vishal, Sandeep Patel, Siddhartha Sharma, Ritesh Kumar, & Rishemjit Kaur. (2022). Fifty Years of Cervical Myelopathy Research: Results from a Bibliometric Analysis. Asian Spine Journal. 16(6). 983–994. 4 indexed citations
10.
Nadeem, Iftikhar, et al.. (2021). Role of Advanced Respiratory Support in Acute Respiratory Failure in Clinically Frail Patients with COVID-19. Future Microbiology. 17(2). 89–97. 3 indexed citations
11.
Saurabh, Suman, Ritesh Kumar, Pankaj Bhardwaj, et al.. (2020). Dynamics of SARS-CoV-2 Transmission Among Indian Nationals Evacuated From Iran. Disaster Medicine and Public Health Preparedness. 16(2). 627–633. 3 indexed citations
12.
Bhondekar, Amol P., et al.. (2018). Circuit arrangement to suppress crosstalk in chemo‐resistive sensor arrays. IET Science Measurement & Technology. 12(8). 1039–1046. 5 indexed citations
13.
Bhalla, Sherry, Kumardeep Chaudhary, Ritesh Kumar, et al.. (2017). Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer. Scientific Reports. 7(1). 44997–44997. 71 indexed citations
14.
Kumar, Saurav, et al.. (2016). Bacteriorhodopsin–ZnO hybrid as a potential sensing element for low-temperature detection of ethanol vapour. Beilstein Journal of Nanotechnology. 7. 501–510. 3 indexed citations
15.
Chaudhary, Kumardeep, Ritesh Kumar, Sandeep Singh, et al.. (2016). A Web Server and Mobile App for Computing Hemolytic Potency of Peptides. Scientific Reports. 6(1). 22843–22843. 178 indexed citations
16.
Bhondekar, Amol P., Martin Macaš, Ritesh Kumar, et al.. (2015). Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification. Neural Networks. 71. 142–149. 25 indexed citations
17.
Kumar, Ritesh, et al.. (2015). Locally Advanced Askin’s Tumour in a Child—a Rare Case Report and Review of the Literature. Indian Journal of Surgical Oncology. 6(3). 288–291. 4 indexed citations
18.
Kumar, Ritesh, et al.. (2015). Understanding the Odour Spaces: A Step towards Solving Olfactory Stimulus-Percept Problem. PLoS ONE. 10(10). e0141263–e0141263. 18 indexed citations
19.
Kaur, Rishemjit, Ritesh Kumar, Amol P. Bhondekar, & Pawan Kapur. (2013). Human opinion dynamics: An inspiration to solve complex optimization problems. Scientific Reports. 3(1). 3008–3008. 23 indexed citations
20.
Kumar, Ritesh, Gautam Mitra, & Diana Roman. (2010). Long–short portfolio optimization in the presence of discrete asset choice constraints and two risk measures. The Journal of Risk. 13(2). 71–100. 2 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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