Deepika Goyal

965 citations
53 papers · 667 · h-index 14

Impact in

Papers in

    • Big Data and Business Intelligence 12
    • Information Technology Governance and Strategy 8
    • ERP Systems Implementation and Impact 5
    • Plant-Microbe Interactions and Immunity 5

Deepika Goyal

49 papers receiving 636 citations

Peers

Deepika Goyal
Comparison fields: 5 of 113
  • Management Information Systems 80
  • Business and International Management 16
  • Soil Science 64
  • Organizational Behavior and Human Resource Management 52
  • Pollution 55
Replace Suresh Subramoniam with:
Suresh Subramoniam India
Ioannis Manikas United Arab Emirates
Nitty Hirawaty Kamarulzaman Malaysia
Sri Widyastuti Indonesia
Giana de Vargas Mores Brazil
Hana Trollman United Kingdom
Abdul Ghafoor Pakistan
Seema Bhardwaj India
Ronald C. Beckett Australia
Dong Xiao-ying China
Deepika Goyal relative to Suresh Subramoniam India Suresh Subramoniam's profile →
Citations per field
00.5×2×4×6.1×
Suresh Subramoniam · 1×
Citations per year

Countries citing papers authored by Deepika Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepika Goyal, 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 Deepika Goyal Line = papers co-authored together Deepika Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 202089
3 200865
4 202051
5 200940
6 202026
7 201826
8 200825
9 202023
10 200820
11 202017
12 201017
13 201216
14 202115
15 200713
16 200311
17 20199
18 20218
19 20207
20 20107

About Deepika Goyal

Deepika Goyal is a scholar working on Management Information Systems, Plant Science, Information Systems, Molecular Biology and Strategy and Management, having authored 53 papers that have together received 667 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (12 papers), Information Technology Governance and Strategy (8 papers), Plant-Microbe Interactions and Immunity (5 papers), ERP Systems Implementation and Impact (5 papers), Data Mining Algorithms and Applications (3 papers), Innovation and Socioeconomic Development (3 papers), Microbial Community Ecology and Physiology (3 papers) and Customer churn and segmentation (3 papers). The work is most often cited by research in Management Information Systems (80 citations), Business and International Management (16 citations), Soil Science (64 citations), Organizational Behavior and Human Resource Management (52 citations) and Pollution (55 citations). Deepika Goyal has collaborated with scholars based in India, United Arab Emirates and Taiwan. Frequent co-authors include Prem Kumar Dantu, Mrinalini Prasad, Akbar Ali, Teg Bahadur Singh, Preksha Shrivastav, Sarika Sharma, S.I. Ahson, Jayanthi Ranjan, Sushma Mishra and Debendra K. Sahoo. Their work appears in journals such as Current Microbiology, The Journal of Agricultural Science, Bioresource Technology, Letters in Applied Microbiology and World Journal of Entrepreneurship Management and Sustainable Development.

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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