Manjul Gupta

24 papers receiving 1.4k citations

Hit Papers

Digitalization and artificial knowledge for accountability in SCM: a systematic literature review 2023 · 85 citations
852021202620222024200400600

Peers

Manjul Gupta
Comparison fields: 5 of 115
  • Management Information Systems 374
  • Health Informatics 45
  • Strategy and Management 316
  • Information Systems and Management 143
  • Industrial and Manufacturing Engineering 193
Replace Rony Medaglia with:
Rony Medaglia Denmark
Prithwiraj Choudhury United States
M. N. Ravishankar United Kingdom
Carol Xiaojuan Ou Netherlands
Kirsten Martin United States
Valery Yakubovich United States
Christian Hopp Germany
Ranjani Krishnan United States
Regina Connolly Ireland
Manjul Gupta relative to Rony Medaglia Denmark Rony Medaglia's profile →
Citations per field
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Rony Medaglia · 1×
Citations per year

Countries citing papers authored by Manjul Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Manjul Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manjul Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manjul Gupta Line = papers co-authored together Manjul Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 202429
4 20240
5 20240
6
Digitalization and artificial knowledge for accountability in SCM: a systematic literature review
Hit paper breakdown →
202385
7 202253
8 202223
9 202160
10 202134
11 202122
12 202153
13 202033
14 201934
15 201844
16 201713
17 20158
18 200410
19 199812
20 197832

About Manjul Gupta

Manjul Gupta is a scholar working on Management Information Systems, Social Psychology, Communication, Strategy and Management and Safety Research, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (4 papers), Misinformation and Its Impacts (4 papers), Quantum, superfluid, helium dynamics (3 papers), Social and Intergroup Psychology (3 papers), Deception detection and forensic psychology (3 papers), Advanced Chemical Physics Studies (3 papers), Social Media and Politics (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Management Information Systems (374 citations), Health Informatics (45 citations), Strategy and Management (316 citations), Information Systems and Management (143 citations) and Industrial and Manufacturing Engineering (193 citations). Manjul Gupta has collaborated with scholars based in United States, France and Norway. Frequent co-authors include Patrick Mikalef, Denis Dennehy, Idiano D’Adamo, Nuwan Gunarathne, Assunta Di Vaio, Badar Latif, Cindy Schaefer, Maija Ylinen, Siw Olsen Fjørtoft and Hans Torvatn. Their work appears in journals such as International Journal of Information Management, Solid State Communications, Information & Management, Journal of the Association for Information Systems and Information Systems Frontiers.

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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