Pankush Kalgotra

531 total citations
30 papers, 318 citations indexed

About

Pankush Kalgotra is a scholar working on Sociology and Political Science, Information Systems and Management and Information Systems. According to data from OpenAlex, Pankush Kalgotra has authored 30 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 6 papers in Information Systems and Management and 5 papers in Information Systems. Recurrent topics in Pankush Kalgotra's work include Personal Information Management and User Behavior (5 papers), Data Mining Algorithms and Applications (4 papers) and Mental Health Research Topics (4 papers). Pankush Kalgotra is often cited by papers focused on Personal Information Management and User Behavior (5 papers), Data Mining Algorithms and Applications (4 papers) and Mental Health Research Topics (4 papers). Pankush Kalgotra collaborates with scholars based in United States, Norway and Italy. Pankush Kalgotra's co-authors include Ramesh Sharda, Julie M. Croff, Amir Hassan Zadeh, Andy Luse, Ashish Gupta, Roger McHaney, Uzma Raja, Behrooz Davazdahemami, Bryan Hammer and Madhav Desai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Scientific Reports.

In The Last Decade

Pankush Kalgotra

26 papers receiving 310 citations

Peers

Pankush Kalgotra

EPIDE

SPS

MIS

HEALT

Hung‐Jen Yang Taiwan

Marcello Sarini Italy

Björn Bergh Germany

Qing Ye China

Björn Schreiweis Germany

Elena Vlahu‐Gjorgievska Australia

Massimo Franco Italy

Martin Wiesner Germany

Xuejie Yang China

Hung‐Jen Yang Taiwan

Pankush Kalgotra

36 ×0.5

EPIDE

55 ×1.2

SPS

52 ×1.2

30 ×0.8

MIS

9 ×0.3

HEALT

Citations per year, relative to Pankush Kalgotra Pankush Kalgotra (= 1×) peers Hung‐Jen Yang

Countries citing papers authored by Pankush Kalgotra

Since Specialization

Citations

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

Fields of papers citing papers by Pankush Kalgotra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankush Kalgotra

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

All Works

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20 of 20 papers shown

Kalgotra, Pankush, Ramesh Sharda, Rich Caruana, & Sravanthi Parasa. (2024). 753 INTERPRETABLE MACHINE LEARNING PREDICTIVE MODEL TO UNDERSTAND RISK FACTORS FOR EARLY ONSET COLORECTAL CANCER. Gastroenterology. 166(5). S–178.

Davazdahemami, Behrooz, Pankush Kalgotra, Hamed M. Zolbanin, & Dursun Delen. (2023). A developer-oriented recommender model for the app store: A predictive network analytics approach. Journal of Business Research. 158. 113649–113649. 4 indexed citations

Kalgotra, Pankush & Ramesh Sharda. (2023). Network analytics: an introduction and illustrative applications in health data science. Journal of Information Technology Case and Application Research. 25(3). 305–315.

Kalgotra, Pankush, Ramesh Sharda, & Sravanthi Parasa. (2023). Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer. Decision Support Systems. 168. 113929–113929. 2 indexed citations

Kalgotra, Pankush, et al.. (2022). Factors Associated With Poor Outcomes Among Patients With SARS-CoV-2 Coronavirus Infection and Gastrointestinal Symptoms. SHILAP Revista de lepidopterología. 2(1). 37–45. 2 indexed citations

Kalgotra, Pankush, Uzma Raja, & Ramesh Sharda. (2022). Growth in the development of health and fitness mobile apps amid COVID-19 pandemic. Digital Health. 8. 2282130394–2282130394. 12 indexed citations

Kalgotra, Pankush, et al.. (2022). Impact of age, sex, race, and regionality on major clinical outcomes of COVID-19 in hospitalized patients in the United States. BMC Infectious Diseases. 22(1). 659–659. 9 indexed citations

Liu, Sijun, et al.. (2022). Seeing is believing? Data mining to create a choice-based conjoint approach for restaurant mobile marketing. International Journal of Hospitality Management. 104. 103248–103248. 8 indexed citations

Kalgotra, Pankush, Ashish Gupta, & Ramesh Sharda. (2021). Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19. Journal of Business Research. 134. 540–559. 22 indexed citations

10.

Kalgotra, Pankush, Ramesh Sharda, & Julie M. Croff. (2020). Examining multimorbidity differences across racial groups: a network analysis of electronic medical records. Scientific Reports. 10(1). 13538–13538. 47 indexed citations

11.

Davazdahemami, Behrooz, Bryan Hammer, Pankush Kalgotra, & Andy Luse. (2020). From General to Situational Privacy Concerns: A New Mechanism to Explain Information Disclosure in Social Networks. Communications of the Association for Information Systems. 47(1). 652–677. 5 indexed citations

12.

Davazdahemami, Behrooz, Bryan Hammer, Andy Luse, & Pankush Kalgotra. (2018). The Role of Parallelism in Resolving the Privacy Paradox of Information Disclosure in Social Networks. Journal of the Association for Information Systems. 2 indexed citations

13.

Kalgotra, Pankush & Ramesh Sharda. (2018). BIARAM: A process for analyzing correlated brain regions using association rule mining. Computer Methods and Programs in Biomedicine. 162. 99–108. 9 indexed citations

14.

Kalgotra, Pankush, Ramesh Sharda, & Julie M. Croff. (2017). Examining health disparities by gender: A multimorbidity network analysis of electronic medical record. International Journal of Medical Informatics. 108. 22–28. 47 indexed citations

15.

Kalgotra, Pankush, et al.. (2017). Analysis of a Sequence of Events in Healthcare. 2017(2). 9–23. 3 indexed citations

16.

Kalgotra, Pankush, Ramesh Sharda, & Roger McHaney. (2017). Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: an Exploratory Neuroimaging Study. Information Systems Frontiers. 21(5). 1019–1030. 15 indexed citations

17.

Kalgotra, Pankush, et al.. (2016). Who Renews? Who Leaves? Identifying Customer Churn in a Telecom Company Using Big Data Techniques. Journal of the Association for Information Systems. 27(4). 223–232. 1 indexed citations

18.

Kalgotra, Pankush, Ramesh Sharda, & Roger McHaney. (2016). Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study. 24. 658–667. 6 indexed citations

19.

Kalgotra, Pankush, Ramesh Sharda, & Goutam Chakraborty. (2014). Association Mining of the Brain Data: An EEG Study. SSRN Electronic Journal.

20.

Kalgotra, Pankush, Ramesh Sharda, & Goutam Chakraborty. (2013). Predictive Modeling in Sports Leagues: An Application in Indian Premier League. SSRN Electronic Journal. 6 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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