C.M. Pareek

511 total citations
21 papers, 361 citations indexed

About

C.M. Pareek is a scholar working on Civil and Structural Engineering, Plant Science and Mechanical Engineering. According to data from OpenAlex, C.M. Pareek has authored 21 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 9 papers in Plant Science and 8 papers in Mechanical Engineering. Recurrent topics in C.M. Pareek's work include Agricultural Engineering and Mechanization (7 papers), Soil Mechanics and Vehicle Dynamics (6 papers) and Smart Agriculture and AI (6 papers). C.M. Pareek is often cited by papers focused on Agricultural Engineering and Mechanization (7 papers), Soil Mechanics and Vehicle Dynamics (6 papers) and Smart Agriculture and AI (6 papers). C.M. Pareek collaborates with scholars based in India, South Korea and United States. C.M. Pareek's co-authors include V.K. Tewari, Rajendra Machavaram, Subha M. Roy, Naseeb Singh, B. C. Mal, C. K. Mukherjee, Prabir Kumar Biswas, A. Ashok Kumar, Tae Ho Kim and Mohammad Nadimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

C.M. Pareek

20 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C.M. Pareek India	11	125	116	102	75	34	21	361
Dainius Steponavičius Lithuania	13	221 1.8×	91 0.8×	177 1.7×	16 0.2×	16 0.5×	62	584
İoannis Gravalos Greece	12	125 1.0×	74 0.6×	110 1.1×	17 0.2×	12 0.4×	31	545
Yinyan Shi China	12	139 1.1×	204 1.8×	131 1.3×	29 0.4×	14 0.4×	45	514
Qazi Umar Farooq Saudi Arabia	5	133 1.1×	48 0.4×	52 0.5×	30 0.4×	66 1.9×	18	329
Milon Chowdhury South Korea	12	268 2.1×	92 0.8×	91 0.9×	16 0.2×	6 0.2×	61	439
Sher Ali Shaikh China	9	190 1.5×	70 0.6×	71 0.7×	13 0.2×	9 0.3×	19	336
Sulaymon Eshkabilov United States	11	96 0.8×	32 0.3×	119 1.2×	15 0.2×	36 1.1×	34	401
Ransford Opoku Darko Ghana	13	174 1.4×	39 0.3×	43 0.4×	55 0.7×	41 1.2×	45	467
Md Rakibuzzaman South Korea	9	91 0.7×	63 0.5×	118 1.2×	32 0.4×	9 0.3×	35	366
Jianping Hu China	14	174 1.4×	194 1.7×	129 1.3×	26 0.3×	26 0.8×	40	451

Countries citing papers authored by C.M. Pareek

Since Specialization

Citations

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

Fields of papers citing papers by C.M. Pareek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.M. Pareek. 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 C.M. Pareek. The network helps show where C.M. Pareek may publish in the future.

Co-authorship network of co-authors of C.M. Pareek

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Roy, Subha M., et al.. (2025). Application of artificial intelligence in aquaculture – Recent developments and prospects. Aquacultural Engineering. 111. 102570–102570. 4 indexed citations

Roy, Subha M., Tiyasha Tiyasha, Suraj Kumar Bhagat, et al.. (2025). Cost-effective aeration solutions for aquaculture: a study on paddle wheel and spiral aerators. Aquaculture International. 33(5).

Kumar, Satya Prakash, et al.. (2024). Automated Prototype Intra Row Weeding System. Journal of Scientific & Industrial Research. 83(4). 1 indexed citations

Roy, Subha M., Rajendra Machavaram, C.M. Pareek, & Tae Ho Kim. (2024). Investigating the performance of a perforated pooled circular stepped cascade aeration system for intensive aquaculture. Heliyon. 10(5). e26367–e26367. 7 indexed citations

Kumar, Satya Prakash, et al.. (2023). Modelling Specific Energy Requirement for a Power-Operated Vertical Axis Rotor Type Intra-Row Weeding Tool Using Artificial Neural Network. Applied Sciences. 13(18). 10084–10084. 4 indexed citations

Pareek, C.M., et al.. (2023). A mechatronic seed metering control system for improving sowing uniformity of planters. Journal of Engineering Research. 13(2). 808–819. 6 indexed citations

Pareek, C.M., V.K. Tewari, & Rajendra Machavaram. (2022). Multi-objective optimization of seeding performance of a pneumatic precision seed metering device using integrated ANN-MOPSO approach. Engineering Applications of Artificial Intelligence. 117. 105559–105559. 40 indexed citations

Pareek, C.M., et al.. (2022). Classification of Broken Maize Kernels Using Artificial Neural Network-Assisted Image-Processing Approach. Journal of Biosystems Engineering. 48(1). 55–68. 8 indexed citations

Kumar, Satya Prakash, et al.. (2022). Mechanical weed management technology to manage inter- and intra-row weeds in agroecosystems - A review. Indian Journal of Weed Science. 54(3). 220–232. 3 indexed citations

10.

Soni, Peeyush, et al.. (2022). Detection of Coconut Clusters Based on Occlusion Condition Using Attention-Guided Faster R-CNN for Robotic Harvesting. Foods. 11(23). 3903–3903. 20 indexed citations

11.

Singh, Naseeb, et al.. (2022). Semantic segmentation of in-field cotton bolls from the sky using deep convolutional neural networks. SHILAP Revista de lepidopterología. 2. 100045–100045. 21 indexed citations

12.

Roy, Subha M., et al.. (2021). Diversified aeration facilities for effective aquaculture systems—a comprehensive review. Aquaculture International. 29(3). 1181–1217. 48 indexed citations

13.

Roy, Subha M., C.M. Pareek, Rajendra Machavaram, & C. K. Mukherjee. (2021). Optimizing the aeration performance of a perforated pooled circular stepped cascade aerator using hybrid ANN-PSO technique. Information Processing in Agriculture. 9(4). 533–546. 32 indexed citations

14.

Roy, Subha M., et al.. (2021). Prediction of standard aeration efficiency of a propeller diffused aeration system using response surface methodology and an artificial neural network. Water Science & Technology Water Supply. 21(8). 4534–4547. 16 indexed citations

15.

Singh, Naseeb, et al.. (2021). Image processing algorithms for in-field cotton boll detection in natural lighting conditions. Artificial Intelligence in Agriculture. 5. 142–156. 24 indexed citations

16.

Pareek, C.M., et al.. (2020). Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach. Artificial Intelligence in Agriculture. 5. 1–12. 41 indexed citations

17.

Tewari, V.K., et al.. (2020). Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop. Artificial Intelligence in Agriculture. 4. 21–30. 41 indexed citations

18.

Pareek, C.M., et al.. (2018). Ergonomics Assessment of Pedal Operated Maize Dehuskar-Sheller for Male Agricultural Workers. Advances in Research. 14(6). 1–5. 2 indexed citations

19.

Pareek, C.M., et al.. (2018). A Visual Basic Programme for Performance Evaluation of Three-point Linkage Hitch System of Agricultural Tractors. Current Journal of Applied Science and Technology. 28(6). 1–12. 3 indexed citations

20.

Kumar, A. Ashok, et al.. (2016). A device to measure wheel slip to improve the fuel efficiency of off road vehicles. Journal of Terramechanics. 70. 1–11. 28 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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