Sushil Punia

1.1k total citations · 1 hit paper
15 papers, 749 citations indexed

About

Sushil Punia is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Management Information Systems. According to data from OpenAlex, Sushil Punia has authored 15 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 5 papers in Electrical and Electronic Engineering and 2 papers in Management Information Systems. Recurrent topics in Sushil Punia's work include Forecasting Techniques and Applications (9 papers), Stock Market Forecasting Methods (7 papers) and Energy Load and Power Forecasting (5 papers). Sushil Punia is often cited by papers focused on Forecasting Techniques and Applications (9 papers), Stock Market Forecasting Methods (7 papers) and Energy Load and Power Forecasting (5 papers). Sushil Punia collaborates with scholars based in India, United Kingdom and Germany. Sushil Punia's co-authors include Κωνσταντίνος Νικολόπουλος, Surya Prakash Singh, Chrysovalantis Vasilakis, Christos Tsinopoulos, Jitender Madaan, P. Vigneswara Ilavarasan, Konstantia Litsiou, Sabyasachi Patra, Jingxin Dong and Aïda Jebali and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Sushil Punia

14 papers receiving 724 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions

2020 356 citations Κωνσταντίνος Νικολόπουλος, Sushil Punia et al. European Journal of Operational Research profile →

Peers

Sushil Punia

MSOR

MIS

IME

Alireza Alinezhad Iran

Arash Khalili Nasr Iran

Agnieszka Szmelter-Jarosz Poland

Rongbing Huang Canada

Kefan Xie China

Vijaya Kumar Manupati India

Ankur Chauhan India

Pijus Kanti De India

Malick Ndiaye United Arab Emirates

Rehab Mohamed Egypt

Alireza Alinezhad Iran

Sushil Punia

386 ×1.6

MSOR

240 ×1.1

144 ×0.7

MIS

91 ×0.7

141 ×1.2

IME

Citations per year, relative to Sushil Punia Sushil Punia (= 1×) peers Alireza Alinezhad

Countries citing papers authored by Sushil Punia

Since Specialization

Citations

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

Fields of papers citing papers by Sushil Punia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushil Punia

This figure shows the co-authorship network connecting the top 25 collaborators of Sushil Punia. A scholar is included among the top collaborators of Sushil Punia 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 Sushil Punia. Sushil Punia 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:

15 of 15 papers shown

Das, Basudeb, et al.. (2025). An AI-Based Framework for Interpretable Mental Health Literacy Segmentation and Decision Support. IEEE Journal of Biomedical and Health Informatics. 29(12). 8799–8806.

Punia, Sushil, et al.. (2024). Forecasting and planning for a critical infrastructure sector during a pandemic: Empirical evidence from a food supply chain. European Journal of Operational Research. 317(3). 936–952. 7 indexed citations

Patra, Sabyasachi, et al.. (2023). Forecast reconciliation in the temporal hierarchy: Special case of intermittent demand with obsolescence. Expert Systems with Applications. 218. 119566–119566. 2 indexed citations

Patra, Sabyasachi, et al.. (2023). Intermittent demand, inventory obsolescence, and temporal aggregation forecasts. International Journal of Production Research. 62(5). 1663–1685. 4 indexed citations

Punia, Sushil, et al.. (2022). Predictive analytics for demand forecasting: A deep learning-based decision support system. Knowledge-Based Systems. 258. 109956–109956. 41 indexed citations

Punia, Sushil, et al.. (2022). Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations. Computers & Industrial Engineering. 173. 108651–108651. 11 indexed citations

Punia, Sushil, et al.. (2021). Trajectory of research on maritime transportation in the era of digitization. Benchmarking An International Journal. 29(1). 194–216. 6 indexed citations

Punia, Sushil, et al.. (2021). Deep learning-based container throughput forecasting: a triple bottom line approach. Industrial Management & Data Systems. 121(10). 2100–2117. 23 indexed citations

Νικολόπουλος, Κωνσταντίνος, et al.. (2020). Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions. European Journal of Operational Research. 290(1). 99–115. 356 indexed citations breakdown →

10.

Punia, Sushil, Surya Prakash Singh, & Jitender Madaan. (2020). From predictive to prescriptive analytics: A data-driven multi-item newsvendor model. Decision Support Systems. 136. 113340–113340. 40 indexed citations

11.

Punia, Sushil, Κωνσταντίνος Νικολόπουλος, Surya Prakash Singh, Jitender Madaan, & Konstantia Litsiou. (2020). Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail. International Journal of Production Research. 58(16). 4964–4979. 120 indexed citations

12.

Punia, Sushil, et al.. (2020). Management of herbicide resistant Phalaris minor through sequential application of pre- and post-emergence herbicides in wheat. Indian Journal of Weed Science. 52(2). 190–190. 3 indexed citations

13.

Punia, Sushil, Surya Prakash Singh, & Jitender Madaan. (2020). A cross-temporal hierarchical framework and deep learning for supply chain forecasting. Computers & Industrial Engineering. 149. 106796–106796. 53 indexed citations

14.

Ilavarasan, P. Vigneswara, et al.. (2019). Forecasting container throughput with long short-term memory networks. Industrial Management & Data Systems. 120(3). 425–441. 59 indexed citations

15.

Ilavarasan, P. Vigneswara, et al.. (2019). Content analysis of literature on big data in smart cities. Benchmarking An International Journal. 28(5). 1837–1857. 24 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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