Ompal Singh

1.1k total citations
95 papers, 711 citations indexed

About

Ompal Singh is a scholar working on Software, Management Science and Operations Research and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ompal Singh has authored 95 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Software, 40 papers in Management Science and Operations Research and 32 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ompal Singh's work include Software Reliability and Analysis Research (43 papers), Innovation Diffusion and Forecasting (38 papers) and Reliability and Maintenance Optimization (32 papers). Ompal Singh is often cited by papers focused on Software Reliability and Analysis Research (43 papers), Innovation Diffusion and Forecasting (38 papers) and Reliability and Maintenance Optimization (32 papers). Ompal Singh collaborates with scholars based in India, Sweden and Russia. Ompal Singh's co-authors include P. K. Kapur, Adarsh Anand, Deepti Aggrawal, Avinash K. Shrivastava, Debkalpa Goswami, Amit Kumar Bardhan, Mohini Agarwal, Vijay Kumar, Udayan Chanda and Sunil Kumar Khatri and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Technological Forecasting and Social Change.

In The Last Decade

Ompal Singh

90 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ompal Singh India 14 338 287 239 228 74 95 711
Adarsh Anand India 14 185 0.5× 117 0.4× 200 0.8× 232 1.0× 45 0.6× 104 633
Minjae Park South Korea 17 293 0.9× 557 1.9× 64 0.3× 35 0.2× 25 0.3× 102 944
Süleyman Özekıcı Türkiye 20 256 0.8× 396 1.4× 35 0.1× 277 1.2× 19 0.3× 63 1.2k
Noushin Ashrafi United States 10 199 0.6× 99 0.3× 179 0.7× 39 0.2× 10 0.1× 33 474
Chung-Chi Hsieh Taiwan 10 53 0.2× 106 0.4× 42 0.2× 46 0.2× 19 0.3× 18 375
Wenshuai Wu China 12 45 0.1× 27 0.1× 81 0.3× 263 1.2× 14 0.2× 30 560
İzzet Şahin United States 15 89 0.3× 216 0.8× 21 0.1× 140 0.6× 19 0.3× 51 664
Ho‐Won Jung South Korea 12 157 0.5× 42 0.1× 344 1.4× 52 0.2× 13 0.2× 33 564
Anne Immonen Finland 12 124 0.4× 47 0.2× 193 0.8× 97 0.4× 44 0.6× 17 487
Young H. Chun United States 12 45 0.1× 127 0.4× 17 0.1× 144 0.6× 12 0.2× 46 481

Countries citing papers authored by Ompal Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ompal Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ompal Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ompal Singh. A scholar is included among the top collaborators of Ompal 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 Ompal Singh. Ompal 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.
Anand, Adarsh, et al.. (2025). Transition time based modelling for sustainable innovation adoption. Sustainable Futures. 9. 100759–100759.
2.
Singh, Ompal, et al.. (2024). Demand forecasting of technological products considering re-purchasing and dynamic pricing: a modified diffusion model. International Journal of Systems Assurance Engineering and Management. 15(5). 1981–1998. 4 indexed citations
3.
Kumar, H. Sanath, et al.. (2023). Studying Multi-Stage Diffusion Dynamics using Epidemic Modeling Framework. International Journal of Mathematical Engineering and Management Sciences. 8(1). 105–119. 2 indexed citations
4.
Anand, Adarsh, et al.. (2021). Optimal Sprint Length Determination for Agile-Based Software Development. Computers, materials & continua/Computers, materials & continua (Print). 68(3). 3693–3712. 9 indexed citations
5.
Kapur, P. K., et al.. (2021). Optimal decisions on software release and post-release testing: A unified approach. SHILAP Revista de lepidopterología. 31(2). 165–180. 4 indexed citations
6.
Kapur, P. K., et al.. (2020). Technology diffusion model with change in adoption rate and repeat purchases: a case of consumer balking. International Journal of Systems Assurance Engineering and Management. 12(1). 29–36. 3 indexed citations
7.
Kapur, P. K., et al.. (2020). Multi-generational technology management in a segmented environment. International Journal of Product Development. 24(1). 1–1. 6 indexed citations
8.
Kapur, P. K., et al.. (2020). Modeling technology diffusion: a study based on market coverage and advertising efforts. International Journal of Systems Assurance Engineering and Management. 11(S2). 154–162. 4 indexed citations
9.
Shrivastava, Avinash K., et al.. (2020). Software release and testing stop time decision with change point. International Journal of Systems Assurance Engineering and Management. 11(S2). 196–207. 7 indexed citations
10.
Sharma, Kapil, Ompal Singh, & Abhishek Bhatt. (2019). High Speed Multi-level Discrete Wavelet Transform using Canonic Signed Digit Technique. International Journal of Computer Sciences and Engineering. 7(5). 1528–1531. 1 indexed citations
11.
Anand, Adarsh, et al.. (2019). Using Weibull Distribution for Modeling Bimodal Diffusion Curves: A Naive Framework to Study Product Life Cycle. International Journal of Innovation and Technology Management. 16(7). 1 indexed citations
12.
Kapur, P. K., et al.. (2019). Joint optimization of software time-to-market and testing duration using multi-attribute utility theory. Annals of Operations Research. 312(1). 305–332. 13 indexed citations
13.
Anand, Adarsh, et al.. (2016). Diffusion Modeling Based on Customer's Review and Product Satisfaction. RePEc: Research Papers in Economics. 7(1). 20–31. 6 indexed citations
14.
Kapur, P. K., et al.. (2015). A software up-gradation model with testing effort and two types of imperfect debugging. 1. 613–618. 8 indexed citations
15.
Singh, Ompal, P. K. Kapur, Avinash K. Shrivastava, & Vijay Kumar. (2014). Release time problem with multiple constraints. International Journal of Systems Assurance Engineering and Management. 6(1). 83–91. 20 indexed citations
16.
Khatri, Sunil Kumar, P. K. Kapur, & Ompal Singh. (2014). Preface. International Journal of Systems Assurance Engineering and Management. 6(1). 1–2. 1 indexed citations
17.
Kapur, P. K., et al.. (2013). SOFTWARE RELEASE TIME BASED ON DIFFERENT MULTI-ATTRIBUTE UTILITY FUNCTIONS. International Journal of Reliability Quality and Safety Engineering. 20(4). 1350012–1350012. 6 indexed citations
18.
Singh, Ompal, A. H. S. Garmabaki, & P. K. Kapur. (2011). Unified framework for developing Two Dimensional software reliability growth models with change point. 570–574. 4 indexed citations
19.
Kapur, P. K., Debkalpa Goswami, Amit Kumar Bardhan, & Ompal Singh. (2007). Flexible software reliability growth model with testing effort dependent learning process. Applied Mathematical Modelling. 32(7). 1298–1307. 66 indexed citations
20.
Kapur, P. K., et al.. (2004). SOFTWARE RELIABILITY GROWTH AND INNOVATION DIFFUSION MODELS: AN INTERFACE. International Journal of Reliability Quality and Safety Engineering. 11(4). 339–364. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Adarsh Anand Breakdown of academic impact, for papers by Minjae Park Breakdown of academic impact, for papers by Süleyman Özekıcı Breakdown of academic impact, for papers by Noushin Ashrafi Breakdown of academic impact, for papers by Chung-Chi Hsieh Breakdown of academic impact, for papers by Wenshuai Wu Breakdown of academic impact, for papers by İzzet Şahin Breakdown of academic impact, for papers by Ho‐Won Jung Breakdown of academic impact, for papers by Anne Immonen Breakdown of academic impact, for papers by Young H. Chun
Rankless by CCL
2026