Yogesh Singh

3.7k total citations
188 papers, 2.5k citations indexed

About

Yogesh Singh is a scholar working on Software, Information Systems and Control and Systems Engineering. According to data from OpenAlex, Yogesh Singh has authored 188 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Software, 74 papers in Information Systems and 38 papers in Control and Systems Engineering. Recurrent topics in Yogesh Singh's work include Software Reliability and Analysis Research (74 papers), Software Engineering Research (63 papers) and Software Testing and Debugging Techniques (37 papers). Yogesh Singh is often cited by papers focused on Software Reliability and Analysis Research (74 papers), Software Engineering Research (63 papers) and Software Testing and Debugging Techniques (37 papers). Yogesh Singh collaborates with scholars based in India, United States and South Korea. Yogesh Singh's co-authors include Arvinder Kaur, K.K. Aggarwal, Ruchika Malhotra, Pravin Chandra, Santhakumar Mohan, Jitender Kumar Chhabra, Bharti Suri, Pradeep Kumar, Om Prakash Sangwan and Anju Saha and has published in prestigious journals such as Proceedings of the IEEE, Journal of Sound and Vibration and Artificial Intelligence.

In The Last Decade

Yogesh Singh

175 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yogesh Singh India 28 1.4k 1.2k 503 497 308 188 2.5k
Cliff B. Jones United Kingdom 19 350 0.3× 571 0.5× 459 0.9× 1.3k 2.5× 455 1.5× 106 2.5k
Sofiène Tahar Canada 21 214 0.2× 212 0.2× 381 0.8× 299 0.6× 133 0.4× 240 1.9k
Ruoyu Wang China 22 827 0.6× 894 0.7× 564 1.1× 1.2k 2.4× 35 0.1× 79 2.4k
Christian Berger Sweden 18 214 0.2× 218 0.2× 224 0.4× 251 0.5× 141 0.5× 113 1.6k
Junfeng Wang China 25 647 0.5× 155 0.1× 1.1k 2.2× 569 1.1× 73 0.2× 164 2.0k
Chunming Wu China 24 411 0.3× 65 0.1× 881 1.8× 683 1.4× 143 0.5× 209 1.8k
Xiao Ma China 20 584 0.4× 161 0.1× 1.3k 2.6× 246 0.5× 96 0.3× 89 1.8k
Yiu-Wing Leung Hong Kong 25 177 0.1× 89 0.1× 1.2k 2.4× 786 1.6× 231 0.8× 106 2.8k
S. Felix Wu United States 25 269 0.2× 69 0.1× 1.2k 2.4× 815 1.6× 262 0.9× 136 2.0k
Dafang Zhang China 25 350 0.3× 75 0.1× 798 1.6× 585 1.2× 290 0.9× 127 2.1k

Countries citing papers authored by Yogesh Singh

Since Specialization
Citations

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

Fields of papers citing papers by Yogesh Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yogesh Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Yogesh Singh. A scholar is included among the top collaborators of Yogesh Singh 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 Yogesh Singh. Yogesh Singh 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.
Singh, Yogesh, et al.. (2025). Refining Dual-Phase Steel: The Fine Line between hardness Boost and corrosion Risk in multipass FSP. Materials Letters. 400. 139178–139178.
2.
Singh, Yogesh, et al.. (2024). Enhanced prediction and optimization of WEDM for titanium alloy (grade 5) with hybrid artificial neural network based meta-heuristics. International Journal on Interactive Design and Manufacturing (IJIDeM). 19(6). 4327–4347.
3.
Singh, Deepak Kumar, et al.. (2023). Effects of viscosity ratio and surface wettability on viscous fingering instability in rectangular channel. International Journal of Modern Physics C. 35(6). 3 indexed citations
4.
Singh, Yogesh, et al.. (2023). Classification on unmanned underwater vehicles: a review. International Journal of Vehicle Autonomous Systems. 17(3/4). 192–220. 2 indexed citations
5.
Pandey, Krishna Murari, et al.. (2023). TUNING THE SPLITTING BEHAVIOR OF LOW-VISCOUS FINGER IN BIFURCATING NETWORK BY SURFACE WETTABILITY. 50(3). 51–71. 2 indexed citations
6.
Mohan, Santhakumar & Yogesh Singh. (2018). Kinematic and dynamic performance investigations of asymmetric (U-shape fixed base) planar parallel manipulators. Robotica. 36(8). 1111–1143. 7 indexed citations
7.
Singh, Yogesh & Santhakumar Mohan. (2015). Inverse dynamics and robust sliding mode control of a planar parallel (2-PRP and 1-PPR) robot augmented with a nonlinear disturbance observer. Mechanism and Machine Theory. 92. 29–50. 39 indexed citations
8.
Goyal, Rinkaj, Pravin Chandra, & Yogesh Singh. (2013). Impact of Interaction in the Combined Metrics Approach for Fault Prediction. 15. 4 indexed citations
9.
Kumar, Ashwani, et al.. (2011). Identification and differentiation of raw meats of sheep, goat, cattle, pig and poultry by Multiplex PCR. The Indian Journal of Animal Sciences. 81(6). 2 indexed citations
10.
Gupta, Chetna, Yogesh Singh, & Durg Singh Chauhan. (2010). A Dynamic Approach to Estimate Change Impact using Type of Change Propagation. Journal of Information Processing Systems. 6(4). 597–608. 14 indexed citations
11.
Gupta, Chetna, Yogesh Singh, & Durg Singh Chauhan. (2009). An Efficient Dynamic Impact Analysis using Definition and Usage Information.. International Journal of Digital Content Technology and its Applications. 3. 112–115. 6 indexed citations
12.
Kumar, Ashwani, et al.. (2009). Cytochrome-b gene based PCR for identification and differentiation of cooked meat of sheep, goat, cattle, pig and poultry.. Haryana Veterinarian. 48. 53–57. 2 indexed citations
13.
Singh, Yogesh & Anju Saha. (2009). Assessment of Class Testability - An Empirical Study. 11. 1 indexed citations
14.
Singh, Yogesh, et al.. (2009). An Empirical Analysis of Metrics. 11. 1 indexed citations
15.
Singh, Yogesh, Arvinder Kaur, & Bharti Suri. (2009). Empirical Validation of Variable based Test Case Prioritization/Selection Technique.. International Journal of Digital Content Technology and its Applications. 3. 116–119. 6 indexed citations
16.
Singh, Yogesh, Arvinder Kaur, & Ruchika Malhotra. (2007). Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.. Software Engineering Research and Practice. 664–670. 3 indexed citations
17.
Singh, Yogesh, et al.. (2007). Detection of meat species by polymerase chain reaction of actin gene family.. Haryana Veterinarian. 46. 25–27. 1 indexed citations
18.
Bhatia, Pradeep Kumar & Yogesh Singh. (2006). Quantification Criteria for Optimization of Modules in OO Design.. Software Engineering Research and Practice. 972–979.
19.
Singh, Yogesh. (1971). The asymptotic behavior of solutions of a nonlinear nth-order defferential equation. Okayama University Scientific Achievement Repository (Okayama University). 15(1). 71–73. 2 indexed citations
20.
Singh, Yogesh. (1970). SOME OSCILLATION THEOREMS FOR THIRD ORDER NON-LINEAR DIFFERENTIAL EQUATIONS. The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 18(2). 77–86. 1 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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