Adarsh Anand

1.3k total citations
104 papers, 633 citations indexed

About

Adarsh Anand is a scholar working on Management Science and Operations Research, Software and Information Systems. According to data from OpenAlex, Adarsh Anand has authored 104 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Management Science and Operations Research, 37 papers in Software and 31 papers in Information Systems. Recurrent topics in Adarsh Anand's work include Innovation Diffusion and Forecasting (48 papers), Software Reliability and Analysis Research (37 papers) and Software Engineering Research (29 papers). Adarsh Anand is often cited by papers focused on Innovation Diffusion and Forecasting (48 papers), Software Reliability and Analysis Research (37 papers) and Software Engineering Research (29 papers). Adarsh Anand collaborates with scholars based in India, Japan and United Arab Emirates. Adarsh Anand's co-authors include Ompal Singh, Deepti Aggrawal, Mohini Agarwal, P. K. Kapur, V.S.S. Yadavalli, Vijay Kumar, Yoshinobu Tamura, Anuja Arora, Mangey Ram and Omar H. Alhazmi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Technological Forecasting and Social Change.

In The Last Decade

Adarsh Anand

96 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adarsh Anand India 14 232 200 185 117 58 104 633
Ompal Singh India 14 228 1.0× 239 1.2× 338 1.8× 287 2.5× 62 1.1× 95 711
Anne Immonen Finland 12 97 0.4× 193 1.0× 124 0.7× 47 0.4× 36 0.6× 17 487
Avinash K. Shrivastava India 14 58 0.3× 244 1.2× 333 1.8× 237 2.0× 151 2.6× 98 728
Ayça Tarhan Türkiye 14 78 0.3× 397 2.0× 135 0.7× 35 0.3× 76 1.3× 67 821
Krzysztof Wnuk Sweden 18 47 0.2× 676 3.4× 180 1.0× 80 0.7× 62 1.1× 94 980
Noushin Ashrafi United States 10 39 0.2× 179 0.9× 199 1.1× 99 0.8× 87 1.5× 33 474
Ho‐Won Jung South Korea 12 52 0.2× 344 1.7× 157 0.8× 42 0.4× 44 0.8× 33 564
Zhengrui Jiang United States 11 263 1.1× 64 0.3× 38 0.2× 28 0.2× 152 2.6× 32 476
Cmmi Product Team 8 56 0.2× 359 1.8× 97 0.5× 60 0.5× 60 1.0× 13 583
Ma Ángeles Moraga Spain 14 44 0.2× 196 1.0× 56 0.3× 29 0.2× 39 0.7× 43 478

Countries citing papers authored by Adarsh Anand

Since Specialization
Citations

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

Fields of papers citing papers by Adarsh Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adarsh Anand

This figure shows the co-authorship network connecting the top 25 collaborators of Adarsh Anand. A scholar is included among the top collaborators of Adarsh Anand 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 Adarsh Anand. Adarsh Anand 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.
divya, divya divya, et al.. (2024). Assessing the Impact of Software Patching on Vulnerabilities: A Comprehensive Framework for Faulty and Safe Patches. International Journal of Reliability Quality and Safety Engineering. 32(2).
3.
Tamura, Yoshinobu, et al.. (2024). OSS reliability assessment method based on deep learning and independent Wiener data preprocessing. International Journal of Systems Assurance Engineering and Management. 15(6). 2668–2676. 1 indexed citations
4.
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
5.
Aggrawal, Deepti, et al.. (2022). Software Reliability Growth Modeling Based on Fault Count Increment Due to Features Enhancement. 27–40. 1 indexed citations
6.
Anand, Adarsh, et al.. (2022). Revisiting Shift Cipher Technique for Amplified Data Security. UpSpace Institutional Repository (University of Pretoria). 3(1). 8–14. 27 indexed citations
7.
Anand, Adarsh, et al.. (2021). Modeling view count dynamics for YouTube videos: a multimodal perspective. Kybernetes. 51(10). 2964–2986. 7 indexed citations
8.
Anand, Adarsh, et al.. (2021). An optimal scheduling policy for upgraded software with updates. International Journal of Quality & Reliability Management. 39(3). 704–715. 1 indexed citations
9.
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
10.
Anand, Adarsh, et al.. (2020). Role of remanufacturing in product development and related profit estimation. Journal of Cleaner Production. 277. 124016–124016. 7 indexed citations
11.
Anand, Adarsh, et al.. (2020). Modeling the Impact of Remanufacturing Process in Determining Demand-Cost Trade off Using MAUT. American Journal of Mathematical and Management Sciences. 40(2). 120–133. 6 indexed citations
12.
Agarwal, Mohini, et al.. (2019). Innovation diffusion process based on market coverage under dynamic environment. Nonlinear studies. 26(3). 517–525. 2 indexed citations
13.
Anand, Adarsh, et al.. (2019). Optimal Scheduling Policy for a Multi-upgraded Software System under Fuzzy Environment. Journal of Mathematical and Fundamental Sciences. 51(3). 278–293. 2 indexed citations
14.
Anand, Adarsh, et al.. (2019). Dependency and time delay based innovation adoption modeling. Journal | MESA. 10(2). 281–290. 2 indexed citations
15.
Anand, Adarsh, et al.. (2019). Predicting effective customer lifetime: an application of survival analysis for telecommunication industry. Communication in Statistics- Theory and Methods. 49(10). 2305–2320. 4 indexed citations
16.
17.
Anand, Adarsh, et al.. (2018). SPIRE-SST: An Automatic Web-based Self-learning Tool for Syllable Stress Tutoring (SST) to the Second Language Learners.. ePrints@IISc (Indian Institute of Science). 2390–2391. 1 indexed citations
18.
Arora, Anuja, et al.. (2018). Modeling and characterizing viewers of You Tube videos. International Journal of Systems Assurance Engineering and Management. 9(2). 539–546. 14 indexed citations
19.
Anand, Adarsh, et al.. (2016). Vulnerability Discovery Modeling and Weighted Criteria Based Ranking. 17(1). 1–10. 15 indexed citations
20.
Anand, Adarsh, et al.. (2015). A discrete innovation diffusion model incorporating change in the adoption rate. 73–79. 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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